diff --git a/input/.DS_Store b/input/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..23dfb7de90ac0249c64bb5340499d7648b7acd7b Binary files /dev/null and b/input/.DS_Store differ diff --git a/input/ElectroluxConfiguration.xml b/input/ElectroluxConfiguration.xml new file mode 100644 index 0000000000000000000000000000000000000000..0b3373294b4e8d8a630c4e1b44cc3efef02f554a --- /dev/null +++ b/input/ElectroluxConfiguration.xml @@ -0,0 +1,3738 @@ +<?xml version="1.0" encoding="UTF-8"?> +<ElectroluxFactoryModel> + <useExactTime>0</useExactTime> + <extraPrepareTimeInPercentage>20</extraPrepareTimeInPercentage> + <bestDuration>60</bestDuration> + <t1>0</t1> + <t2>500</t2> + <t3>560</t3> + <t4>700</t4> + <objectives> + <objective name="makespan" /> + <objective name="discrepancy" /> + <objective name="quality" /> + <objective name="energy" /> + </objectives> + <processingDevices> + <processingDevice name="CZ 1" availability="1"> + <unavailableTimes> + <unavailableTime /> + </unavailableTimes> + </processingDevice> + <processingDevice name="CZ 2" availability="1"> + <unavailableTimes> + <unavailableTime /> + </unavailableTimes> + </processingDevice> + <processingDevice name="CZ 3" availability="1"> + <unavailableTimes> + <unavailableTime /> + </unavailableTimes> + </processingDevice> + <processingDevice name="CZ 4" availability="1"> + <unavailableTimes> + <unavailableTime /> + </unavailableTimes> + </processingDevice> + <processingDevice name="Pot 1" availability="1"> + <unavailableTimes> + <unavailableTime /> + </unavailableTimes> + </processingDevice> + <processingDevice name="Pot 2" availability="1"> + <unavailableTimes> + <unavailableTime /> + </unavailableTimes> + </processingDevice> + <processingDevice name="Pot 3" availability="1"> + <unavailableTimes> + <unavailableTime /> + </unavailableTimes> + </processingDevice> + </processingDevices> + <cookingResources> + <cookingResource name="CookingResource 1"> + <cookingProcessingDevices> + <cookingProcessingDevice name="CZ 1" /> + <cookingProcessingDevice name="Pot 1" /> + </cookingProcessingDevices> + </cookingResource> + <cookingResource name="CookingResource 2"> + <cookingProcessingDevices> + <cookingProcessingDevice name="CZ 2" /> + <cookingProcessingDevice name="Pot 1" /> + </cookingProcessingDevices> + </cookingResource> + <cookingResource name="CookingResource 3"> + <cookingProcessingDevices> + <cookingProcessingDevice name="CZ 3" /> + <cookingProcessingDevice name="Pot 1" /> + </cookingProcessingDevices> + </cookingResource> + <cookingResource name="CookingResource 4"> + <cookingProcessingDevices> + <cookingProcessingDevice name="CZ 4" /> + <cookingProcessingDevice name="Pot 1" /> + </cookingProcessingDevices> + </cookingResource> + <cookingResource name="CookingResource 5"> + <cookingProcessingDevices> + <cookingProcessingDevice name="CZ 1" /> + <cookingProcessingDevice name="CZ 2" /> + <cookingProcessingDevice name="Pot 2" /> + </cookingProcessingDevices> + </cookingResource> + <cookingResource name="CookingResource 6"> + <cookingProcessingDevices> + <cookingProcessingDevice name="CZ 3" /> + <cookingProcessingDevice name="CZ 4" /> + <cookingProcessingDevice name="Pot 2" /> + </cookingProcessingDevices> + </cookingResource> + <cookingResource name="CookingResource 7"> + <cookingProcessingDevices> + <cookingProcessingDevice name="CZ 1" /> + <cookingProcessingDevice name="CZ 2" /> + <cookingProcessingDevice name="CZ 3" /> + <cookingProcessingDevice name="Pot 3" /> + </cookingProcessingDevices> + </cookingResource> + </cookingResources> + <productionProcesses> + <productionProcess name="Boiled Water 5000g" priority="1"> + <processTypes> + <processType name="Boiled Water A" amountProduced="1000g" predecessor="" energy="350" processingTime="15" montary="3" quality="5"> + <comptiableCookingZones> + <comptiableCookingZone>CookingResource 1</comptiableCookingZone> + <comptiableCookingZone>CookingResource 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predecessor="Boiled Water A" energy="840" processingTime="30" montary="21" quality="2"> + <comptiableCookingZones> + <comptiableCookingZone>CookingResource 1</comptiableCookingZone> + <comptiableCookingZone>CookingResource 2</comptiableCookingZone> + <comptiableCookingZone>CookingResource 3</comptiableCookingZone> + <comptiableCookingZone>CookingResource 4</comptiableCookingZone> + </comptiableCookingZones> + </processType> + <processType name="Pasta B" amountProduced="100g" predecessor="Boiled Water A" energy="770" processingTime="25" montary="18" quality="9"> + <comptiableCookingZones> + <comptiableCookingZone>CookingResource 1</comptiableCookingZone> + <comptiableCookingZone>CookingResource 2</comptiableCookingZone> + <comptiableCookingZone>CookingResource 3</comptiableCookingZone> + <comptiableCookingZone>CookingResource 4</comptiableCookingZone> + </comptiableCookingZones> + </processType> + <processType name="Pasta C" amountProduced="200g" predecessor="Boiled Water B" 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extraEnergyConsumption="10" extraMonetaryCost="1000" /> + </sequenceDependentSetups> +</ElectroluxFactoryModel> diff --git a/input/OASConfiguration.xml b/input/OASConfiguration.xml new file mode 100644 index 0000000000000000000000000000000000000000..57d687d991435a7dd4a570ba062f1653edd2fdea --- /dev/null +++ b/input/OASConfiguration.xml @@ -0,0 +1,2532 @@ +<?xml version="1.0" encoding="UTF-8"?> +<OASFactoryModel> + <objectives> + <objective name="makespan" /> + <objective name="discrepancy" /> + </objectives> + <processingDevices> + <processingDevice name="Silo 1" availability="1"> + <modes> + <mode name="Ecomony" energyConsumptionPerTimeUnit="2" monetaryCostPerTimeUnit="22" /> + <mode name="Standard" energyConsumptionPerTimeUnit="3" monetaryCostPerTimeUnit="30" /> + </modes> + <unavailableTimes> + <unavailableTime /> + </unavailableTimes> + </processingDevice> + <processingDevice name="Silo 2" availability="1"> + <modes> + <mode name="Ecomony" energyConsumptionPerTimeUnit="2" 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<productionLineProcessingDevice order="2" name="Tank 2" /> + </productionLineProcessingDevices> + </productionLine> + <productionLine name="ProductionLine 7"> + <productionLineProcessingDevices> + <productionLineProcessingDevice order="0" name="Silo 4" /> + <productionLineProcessingDevice order="1" name="Mixer 7" /> + <productionLineProcessingDevice order="2" name="Tank 2" /> + </productionLineProcessingDevices> + </productionLine> + <productionLine name="ProductionLine 8"> + <productionLineProcessingDevices> + <productionLineProcessingDevice order="0" name="Silo 4" /> + <productionLineProcessingDevice order="1" name="Mixer 8" /> + <productionLineProcessingDevice order="2" name="Tank 2" /> + </productionLineProcessingDevices> + </productionLine> + <productionLine name="ProductionLine 9"> + <productionLineProcessingDevices> + <productionLineProcessingDevice order="0" name="Silo 5" /> + <productionLineProcessingDevice order="1" name="Mixer 9" /> + <productionLineProcessingDevice order="2" name="Tank 2" /> + </productionLineProcessingDevices> + </productionLine> + <productionLine name="ProductionLine 10"> + <productionLineProcessingDevices> + <productionLineProcessingDevice order="0" name="Silo 5" /> + <productionLineProcessingDevice order="1" name="Mixer 10" /> + <productionLineProcessingDevice order="2" name="Tank 2" /> + </productionLineProcessingDevices> + </productionLine> + </productionLines> + <productionProcesses> + <productionProcess name="Std Weiss 45t" priority="1"> + <processTypes> + <processType name="Std Weiss A" amountProduced="5t"> + <comptiableProductionLines> + <comptiableProductionLine>ProductionLine 1</comptiableProductionLine> + <comptiableProductionLine>ProductionLine 2</comptiableProductionLine> + <comptiableProductionLine>ProductionLine 3</comptiableProductionLine> + <comptiableProductionLine>ProductionLine 4</comptiableProductionLine> + <comptiableProductionLine>ProductionLine 5</comptiableProductionLine> + </comptiableProductionLines> 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<subprocess name="Std Weiss B Task 1"> + <subprocessProcessingDevicesGroup processingTime="15"> + <subprocessProcessingDevice name="Silo 3" mode="Ecomony" /> + <subprocessProcessingDevice name="Mixer 6" mode="Ecomony" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="15"> + <subprocessProcessingDevice name="Silo 3" mode="Ecomony" /> + <subprocessProcessingDevice name="Mixer 6" mode="Standard" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="15"> + <subprocessProcessingDevice name="Silo 3" mode="Ecomony" /> + <subprocessProcessingDevice name="Mixer 6" mode="Performance" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="15"> + <subprocessProcessingDevice name="Silo 3" mode="Standard" /> + <subprocessProcessingDevice name="Mixer 6" mode="Ecomony" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="15"> + 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+ <subprocessProcessingDevice name="Mixer 6" mode="Standard" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="40"> + <subprocessProcessingDevice name="Mixer 6" mode="Performance" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="120"> + <subprocessProcessingDevice name="Mixer 7" mode="Ecomony" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="80"> + <subprocessProcessingDevice name="Mixer 7" mode="Standard" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="40"> + <subprocessProcessingDevice name="Mixer 7" mode="Performance" /> + </subprocessProcessingDevicesGroup> + </subprocess> + <subprocess name="Std Weiss B Task 3"> + <subprocessProcessingDevicesGroup processingTime="10"> + <subprocessProcessingDevice name="Mixer 6" mode="Ecomony" /> + <subprocessProcessingDevice name="Tank 2" mode="Standard" /> + 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Task 1"> + <subprocessProcessingDevicesGroup processingTime="15"> + <subprocessProcessingDevice name="Silo 3" mode="Ecomony" /> + <subprocessProcessingDevice name="Mixer 6" mode="Ecomony" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="15"> + <subprocessProcessingDevice name="Silo 3" mode="Ecomony" /> + <subprocessProcessingDevice name="Mixer 6" mode="Standard" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="15"> + <subprocessProcessingDevice name="Silo 3" mode="Ecomony" /> + <subprocessProcessingDevice name="Mixer 6" mode="Performance" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="15"> + <subprocessProcessingDevice name="Silo 3" mode="Standard" /> + <subprocessProcessingDevice name="Mixer 6" mode="Ecomony" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="15"> + <subprocessProcessingDevice name="Silo 3" 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processingTime="10"> + <subprocessProcessingDevice name="Silo 5" mode="Ecomony" /> + <subprocessProcessingDevice name="Mixer 9" mode="Ecomony" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="10"> + <subprocessProcessingDevice name="Silo 5" mode="Ecomony" /> + <subprocessProcessingDevice name="Mixer 9" mode="Standard" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="10"> + <subprocessProcessingDevice name="Silo 5" mode="Ecomony" /> + <subprocessProcessingDevice name="Mixer 9" mode="Performance" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="10"> + <subprocessProcessingDevice name="Silo 5" mode="Ecomony" /> + <subprocessProcessingDevice name="Mixer 10" mode="Ecomony" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="10"> + <subprocessProcessingDevice name="Silo 5" mode="Ecomony" /> + <subprocessProcessingDevice 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mode="Standard" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="30"> + <subprocessProcessingDevice name="Mixer 8" mode="Performance" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="90"> + <subprocessProcessingDevice name="Mixer 9" mode="Ecomony" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="60"> + <subprocessProcessingDevice name="Mixer 9" mode="Standard" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="30"> + <subprocessProcessingDevice name="Mixer 9" mode="Performance" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="90"> + <subprocessProcessingDevice name="Mixer 10" mode="Ecomony" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="60"> + <subprocessProcessingDevice name="Mixer 10" mode="Standard" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="30"> + <subprocessProcessingDevice name="Mixer 10" mode="Performance" /> + </subprocessProcessingDevicesGroup> + </subprocess> + <subprocess name="Weiss Basis C Task 3"> + <subprocessProcessingDevicesGroup processingTime="10"> + <subprocessProcessingDevice name="Mixer 8" mode="Ecomony" /> + <subprocessProcessingDevice name="Tank 2" mode="Standard" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="10"> + <subprocessProcessingDevice name="Mixer 8" mode="Standard" /> + <subprocessProcessingDevice name="Tank 2" mode="Standard" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="10"> + <subprocessProcessingDevice name="Mixer 8" mode="Performance" /> + <subprocessProcessingDevice name="Tank 2" mode="Standard" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="10"> + <subprocessProcessingDevice name="Mixer 9" mode="Ecomony" /> + <subprocessProcessingDevice name="Tank 2" mode="Standard" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="10"> + <subprocessProcessingDevice name="Mixer 9" mode="Standard" /> + <subprocessProcessingDevice name="Tank 2" mode="Standard" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="10"> + <subprocessProcessingDevice name="Mixer 9" mode="Performance" /> + <subprocessProcessingDevice name="Tank 2" mode="Standard" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="10"> + <subprocessProcessingDevice name="Mixer 10" mode="Ecomony" /> + <subprocessProcessingDevice name="Tank 2" mode="Standard" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="10"> + <subprocessProcessingDevice name="Mixer 10" mode="Standard" /> + <subprocessProcessingDevice name="Tank 2" mode="Standard" /> + </subprocessProcessingDevicesGroup> + <subprocessProcessingDevicesGroup processingTime="10"> + <subprocessProcessingDevice name="Mixer 10" mode="Performance" /> + <subprocessProcessingDevice name="Tank 2" mode="Standard" /> + </subprocessProcessingDevicesGroup> + </subprocess> + </subprocesses> + </processType> + </processTypes> + </productionProcess> + </productionProcesses> + <subprocessRelations> + <subprocessRelation source="Std Weiss A Task 1" destination="Std Weiss A Task 2" allensOperator="M" /> + <subprocessRelation source="Std Weiss A Task 2" destination="Std Weiss A Task 3" allensOperator="M" /> + <subprocessRelation source="Std Weiss B Task 1" destination="Std Weiss B Task 2" allensOperator="M" /> + <subprocessRelation source="Std Weiss B Task 2" destination="Std Weiss B Task 3" allensOperator="M" /> + <subprocessRelation source="Std Weiss C Task 1" destination="Std Weiss C Task 2" allensOperator="M" /> + <subprocessRelation source="Std Weiss C Task 2" destination="Std Weiss C Task 3" allensOperator="M" /> + <subprocessRelation source="Weiss Matt A Task 1" destination="Weiss Matt A Task 2" allensOperator="M" /> + <subprocessRelation source="Weiss Matt A Task 2" destination="Weiss Matt A Task 3" allensOperator="M" /> + <subprocessRelation source="Weiss Matt B Task 1" destination="Weiss Matt B Task 2" allensOperator="M" /> + <subprocessRelation source="Weiss Matt B Task 2" destination="Weiss Matt B Task 3" allensOperator="M" /> + <subprocessRelation source="Weiss Matt C Task 1" destination="Weiss Matt C Task 2" allensOperator="M" /> + <subprocessRelation source="Weiss Matt C Task 2" destination="Weiss Matt C Task 3" allensOperator="M" /> + <subprocessRelation source="Super Glanz A Task 1" destination="Super Glanz A Task 2" allensOperator="M" /> + <subprocessRelation source="Super Glanz A Task 2" destination="Super Glanz A Task 3" allensOperator="M" /> + <subprocessRelation source="Super Glanz B Task 1" destination="Super Glanz B Task 2" allensOperator="M" /> + <subprocessRelation source="Super Glanz B Task 2" destination="Super Glanz B Task 3" allensOperator="M" /> + <subprocessRelation source="Super Glanz C Task 1" destination="Super Glanz C Task 2" allensOperator="M" /> + <subprocessRelation source="Super Glanz C Task 2" destination="Super Glanz C Task 3" allensOperator="M" /> + <subprocessRelation source="Weiss Basis A Task 1" destination="Weiss Basis A Task 2" allensOperator="M" /> + <subprocessRelation source="Weiss Basis A Task 2" destination="Weiss Basis A Task 3" allensOperator="M" /> + <subprocessRelation source="Weiss Basis B Task 1" destination="Weiss Basis B Task 2" allensOperator="M" /> + <subprocessRelation source="Weiss Basis B Task 2" destination="Weiss Basis B Task 3" allensOperator="M" /> + <subprocessRelation source="Weiss Basis C Task 1" destination="Weiss Basis C Task 2" allensOperator="M" /> + <subprocessRelation source="Weiss Basis C Task 2" destination="Weiss Basis C Task 3" allensOperator="M" /> + </subprocessRelations> + <sequenceDependentSetups> + <sequenceDependentSetup source="Std Weiss A" destination="Weiss Matt A" processingDevice="Silo 1" extraProcessingTime="10" extraEnergyConsumption="10" extraMonetaryCost="1000" /> + <sequenceDependentSetup source="Std Weiss A" destination="Weiss Matt A" processingDevice="Silo 2" extraProcessingTime="10" extraEnergyConsumption="10" extraMonetaryCost="1000" /> + <sequenceDependentSetup source="Std Weiss A" destination="Weiss Matt A" processingDevice="Mixer 5" extraProcessingTime="10" extraEnergyConsumption="10" extraMonetaryCost="1000" /> + <sequenceDependentSetup source="Std Weiss A" destination="Weiss Matt A" processingDevice="Silo 3" extraProcessingTime="10" extraEnergyConsumption="10" extraMonetaryCost="1000" /> + <sequenceDependentSetup source="Std Weiss A" destination="Weiss Matt A" processingDevice="Mixer 2" extraProcessingTime="10" extraEnergyConsumption="10" extraMonetaryCost="1000" /> + 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</productionProcess> + <productionProcess name="P3" instances="1" priority="3" cuts="3"> + <comptiableDevices> + <comptiableDevice name="Medium 1" processingTime="2990" energy="90" montary="903" /> + <comptiableDevice name="Medium 2" processingTime="2899" energy="90" montary="1096" /> + <comptiableDevice name="Medium 3" processingTime="3250" energy="90" montary="867" /> + <comptiableDevice name="Medium 4" processingTime="3093" energy="90" montary="902" /> + <comptiableDevice name="Large 1" processingTime="2290" energy="120" montary="1967" /> + <comptiableDevice name="Large 2" processingTime="2099" energy="120" montary="2396" /> + <comptiableDevice name="Large 3" processingTime="2650" energy="120" montary="1817" /> + <comptiableDevice name="Large 4" processingTime="2493" energy="120" montary="1833" /> + </comptiableDevices> + <subProcesses> + <subProcess name="P3 cut 0"> + <subProcessProcessingDevice name="Medium 1 " processingTime="996" energy="30" montary="301" /> + <subProcessProcessingDevice name="Medium 2 " processingTime="966" energy="30" montary="365" /> + <subProcessProcessingDevice name="Medium 3 " processingTime="1083" energy="30" montary="289" /> + <subProcessProcessingDevice name="Medium 4 " processingTime="1031" energy="30" montary="300" /> + <subProcessProcessingDevice name="Large 1 " processingTime="763" energy="40" montary="655" /> + <subProcessProcessingDevice name="Large 2 " processingTime="699" energy="40" montary="798" /> + <subProcessProcessingDevice name="Large 3 " processingTime="883" energy="40" montary="605" /> + <subProcessProcessingDevice name="Large 4 " processingTime="831" energy="40" montary="611" /> + </subProcess> + <subProcess name="P3 cut 1"> + <subProcessProcessingDevice name="Medium 1 " processingTime="996" energy="30" montary="301" /> + <subProcessProcessingDevice name="Medium 2 " processingTime="966" energy="30" montary="365" /> + <subProcessProcessingDevice name="Medium 3 " processingTime="1083" energy="30" montary="289" /> + <subProcessProcessingDevice name="Medium 4 " processingTime="1031" energy="30" montary="300" /> + <subProcessProcessingDevice name="Large 1 " processingTime="763" energy="40" montary="655" /> + <subProcessProcessingDevice name="Large 2 " processingTime="699" energy="40" montary="798" /> + <subProcessProcessingDevice name="Large 3 " processingTime="883" energy="40" montary="605" /> + <subProcessProcessingDevice name="Large 4 " processingTime="831" energy="40" montary="611" /> + </subProcess> + <subProcess name="P3 cut 2"> + <subProcessProcessingDevice name="Medium 1 " processingTime="996" energy="30" montary="301" /> + <subProcessProcessingDevice name="Medium 2 " processingTime="966" energy="30" montary="365" /> + <subProcessProcessingDevice name="Medium 3 " processingTime="1083" energy="30" montary="289" /> + <subProcessProcessingDevice name="Medium 4 " processingTime="1031" energy="30" montary="300" /> + <subProcessProcessingDevice name="Large 1 " processingTime="763" energy="40" montary="655" /> + <subProcessProcessingDevice name="Large 2 " processingTime="699" energy="40" montary="798" /> + <subProcessProcessingDevice name="Large 3 " processingTime="883" energy="40" montary="605" /> + <subProcessProcessingDevice name="Large 4 " processingTime="831" energy="40" montary="611" /> + </subProcess> + </subProcesses> + </productionProcess> + <productionProcess name="P4" instances="1" priority="4" cuts="3"> + <comptiableDevices> + <comptiableDevice name="Medium 1" processingTime="2990" energy="90" montary="1004" /> + <comptiableDevice name="Medium 2" processingTime="2899" energy="90" montary="1224" /> + <comptiableDevice name="Medium 3" processingTime="3250" energy="90" montary="856" /> + <comptiableDevice name="Medium 4" processingTime="3093" energy="90" montary="915" /> + <comptiableDevice name="Large 1" processingTime="2290" energy="120" montary="2185" /> + <comptiableDevice name="Large 2" processingTime="2099" energy="120" montary="2676" /> + <comptiableDevice name="Large 3" processingTime="2650" energy="120" montary="1904" /> + <comptiableDevice name="Large 4" processingTime="2493" energy="120" montary="2062" /> + </comptiableDevices> + <subProcesses> + <subProcess name="P4 cut 0"> + <subProcessProcessingDevice name="Medium 1 " processingTime="996" energy="30" montary="334" /> + <subProcessProcessingDevice name="Medium 2 " processingTime="966" energy="30" montary="408" /> + <subProcessProcessingDevice name="Medium 3 " processingTime="1083" energy="30" montary="285" /> + <subProcessProcessingDevice name="Medium 4 " processingTime="1031" energy="30" montary="305" /> + <subProcessProcessingDevice name="Large 1 " processingTime="763" energy="40" montary="728" /> + <subProcessProcessingDevice name="Large 2 " processingTime="699" energy="40" montary="892" /> + <subProcessProcessingDevice name="Large 3 " processingTime="883" energy="40" montary="634" /> + <subProcessProcessingDevice name="Large 4 " processingTime="831" energy="40" montary="687" /> + </subProcess> + <subProcess name="P4 cut 1"> + <subProcessProcessingDevice name="Medium 1 " processingTime="996" energy="30" montary="334" /> + <subProcessProcessingDevice name="Medium 2 " processingTime="966" energy="30" montary="408" /> + <subProcessProcessingDevice name="Medium 3 " processingTime="1083" energy="30" montary="285" /> + <subProcessProcessingDevice name="Medium 4 " processingTime="1031" energy="30" montary="305" /> + <subProcessProcessingDevice name="Large 1 " processingTime="763" energy="40" montary="728" /> + <subProcessProcessingDevice name="Large 2 " processingTime="699" energy="40" montary="892" /> + <subProcessProcessingDevice name="Large 3 " processingTime="883" energy="40" montary="634" /> + <subProcessProcessingDevice name="Large 4 " processingTime="831" energy="40" montary="687" /> + </subProcess> + <subProcess name="P4 cut 2"> + <subProcessProcessingDevice name="Medium 1 " processingTime="996" energy="30" montary="334" /> + <subProcessProcessingDevice name="Medium 2 " processingTime="966" energy="30" montary="408" /> + <subProcessProcessingDevice name="Medium 3 " processingTime="1083" energy="30" montary="285" /> + <subProcessProcessingDevice name="Medium 4 " processingTime="1031" energy="30" montary="305" /> + <subProcessProcessingDevice name="Large 1 " processingTime="763" energy="40" montary="728" /> + <subProcessProcessingDevice name="Large 2 " processingTime="699" energy="40" montary="892" /> + <subProcessProcessingDevice name="Large 3 " processingTime="883" energy="40" montary="634" /> + <subProcessProcessingDevice name="Large 4 " processingTime="831" energy="40" montary="687" /> + </subProcess> + </subProcesses> + </productionProcess> + <productionProcess name="P5" instances="1" priority="5" cuts="3"> + <comptiableDevices> + <comptiableDevice name="Medium 1" processingTime="2990" energy="90" montary="1599" /> + <comptiableDevice name="Medium 2" processingTime="2899" energy="90" montary="1737" /> + <comptiableDevice name="Medium 3" processingTime="3250" energy="90" montary="1244" /> + <comptiableDevice name="Medium 4" processingTime="3093" energy="90" montary="1370" /> + <comptiableDevice name="Large 1" processingTime="2290" energy="120" montary="3045" /> + <comptiableDevice name="Large 2" processingTime="2099" energy="120" montary="3798" /> + <comptiableDevice name="Large 3" processingTime="2650" energy="120" montary="2617" /> + <comptiableDevice name="Large 4" processingTime="2493" energy="120" montary="2783" /> + </comptiableDevices> + <subProcesses> + <subProcess name="P5 cut 0"> + <subProcessProcessingDevice name="Medium 1 " processingTime="996" energy="30" montary="533" /> + <subProcessProcessingDevice name="Medium 2 " processingTime="966" energy="30" montary="579" /> + <subProcessProcessingDevice name="Medium 3 " processingTime="1083" energy="30" montary="414" /> + <subProcessProcessingDevice name="Medium 4 " processingTime="1031" energy="30" montary="456" /> + <subProcessProcessingDevice name="Large 1 " processingTime="763" energy="40" montary="1015" /> + <subProcessProcessingDevice name="Large 2 " processingTime="699" energy="40" montary="1266" /> + <subProcessProcessingDevice name="Large 3 " processingTime="883" energy="40" montary="872" /> + <subProcessProcessingDevice name="Large 4 " processingTime="831" energy="40" montary="927" /> + </subProcess> + <subProcess name="P5 cut 1"> + <subProcessProcessingDevice name="Medium 1 " processingTime="996" energy="30" montary="533" /> + <subProcessProcessingDevice name="Medium 2 " processingTime="966" energy="30" montary="579" /> + <subProcessProcessingDevice name="Medium 3 " processingTime="1083" energy="30" montary="414" /> + <subProcessProcessingDevice name="Medium 4 " processingTime="1031" energy="30" montary="456" /> + <subProcessProcessingDevice name="Large 1 " processingTime="763" energy="40" montary="1015" /> + <subProcessProcessingDevice name="Large 2 " processingTime="699" energy="40" montary="1266" /> + <subProcessProcessingDevice name="Large 3 " processingTime="883" energy="40" montary="872" /> + <subProcessProcessingDevice name="Large 4 " processingTime="831" energy="40" montary="927" /> + </subProcess> + <subProcess name="P5 cut 2"> + <subProcessProcessingDevice name="Medium 1 " processingTime="996" energy="30" montary="533" /> + <subProcessProcessingDevice name="Medium 2 " processingTime="966" energy="30" montary="579" /> + <subProcessProcessingDevice name="Medium 3 " processingTime="1083" energy="30" montary="414" /> + <subProcessProcessingDevice name="Medium 4 " processingTime="1031" energy="30" montary="456" /> + <subProcessProcessingDevice name="Large 1 " processingTime="763" energy="40" montary="1015" /> + <subProcessProcessingDevice name="Large 2 " processingTime="699" energy="40" montary="1266" /> + <subProcessProcessingDevice name="Large 3 " processingTime="883" energy="40" montary="872" /> + <subProcessProcessingDevice name="Large 4 " processingTime="831" energy="40" montary="927" /> + </subProcess> + </subProcesses> + </productionProcess> + <productionProcess name="P6" instances="1" priority="6" cuts="3"> + <comptiableDevices> + <comptiableDevice name="Medium 1" processingTime="2990" energy="90" montary="1770" /> + <comptiableDevice name="Medium 2" processingTime="2899" energy="90" montary="2225" /> + <comptiableDevice name="Medium 3" processingTime="3250" energy="90" montary="1303" /> + <comptiableDevice name="Medium 4" processingTime="3093" energy="90" montary="1587" /> + <comptiableDevice name="Large 1" processingTime="2290" energy="120" montary="3854" /> + <comptiableDevice name="Large 2" processingTime="2099" energy="120" montary="4865" /> + <comptiableDevice name="Large 3" processingTime="2650" energy="120" montary="3269" /> + <comptiableDevice name="Large 4" processingTime="2493" energy="120" montary="3453" /> + </comptiableDevices> + <subProcesses> + <subProcess name="P6 cut 0"> + <subProcessProcessingDevice name="Medium 1 " processingTime="996" energy="30" montary="590" /> + <subProcessProcessingDevice name="Medium 2 " processingTime="966" energy="30" montary="741" /> + <subProcessProcessingDevice name="Medium 3 " processingTime="1083" energy="30" montary="434" /> + <subProcessProcessingDevice name="Medium 4 " processingTime="1031" energy="30" montary="529" /> + <subProcessProcessingDevice name="Large 1 " processingTime="763" energy="40" montary="1284" /> + <subProcessProcessingDevice name="Large 2 " processingTime="699" energy="40" montary="1621" /> + <subProcessProcessingDevice name="Large 3 " processingTime="883" energy="40" montary="1089" /> + <subProcessProcessingDevice name="Large 4 " processingTime="831" energy="40" montary="1151" /> + </subProcess> + <subProcess name="P6 cut 1"> + <subProcessProcessingDevice name="Medium 1 " processingTime="996" energy="30" montary="590" /> + <subProcessProcessingDevice name="Medium 2 " processingTime="966" energy="30" montary="741" /> + <subProcessProcessingDevice name="Medium 3 " processingTime="1083" energy="30" montary="434" /> + <subProcessProcessingDevice name="Medium 4 " processingTime="1031" energy="30" montary="529" /> + <subProcessProcessingDevice name="Large 1 " processingTime="763" energy="40" montary="1284" /> + <subProcessProcessingDevice name="Large 2 " processingTime="699" energy="40" montary="1621" /> + <subProcessProcessingDevice name="Large 3 " processingTime="883" energy="40" montary="1089" /> + <subProcessProcessingDevice name="Large 4 " processingTime="831" energy="40" montary="1151" /> + </subProcess> + <subProcess name="P6 cut 2"> + <subProcessProcessingDevice name="Medium 1 " processingTime="996" energy="30" montary="590" /> + <subProcessProcessingDevice name="Medium 2 " processingTime="966" energy="30" montary="741" /> + <subProcessProcessingDevice name="Medium 3 " processingTime="1083" energy="30" montary="434" /> + <subProcessProcessingDevice name="Medium 4 " processingTime="1031" energy="30" montary="529" /> + <subProcessProcessingDevice name="Large 1 " processingTime="763" energy="40" montary="1284" /> + <subProcessProcessingDevice name="Large 2 " processingTime="699" energy="40" montary="1621" /> + <subProcessProcessingDevice name="Large 3 " processingTime="883" energy="40" montary="1089" /> + <subProcessProcessingDevice name="Large 4 " processingTime="831" energy="40" montary="1151" /> + </subProcess> + </subProcesses> + </productionProcess> + <productionProcess name="P7" instances="1" priority="7" cuts="3"> + <comptiableDevices> + <comptiableDevice name="Large 1" processingTime="5505" energy="120" montary="3826" /> + <comptiableDevice name="Large 2" processingTime="5341" energy="120" montary="4560" /> + <comptiableDevice name="Large 3" processingTime="7421" energy="120" montary="3532" /> + <comptiableDevice name="Large 4" processingTime="6205" energy="120" montary="3614" /> + </comptiableDevices> + <subProcesses> + <subProcess name="P7 cut 0"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="1275" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="1520" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="1177" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="1204" /> + </subProcess> + <subProcess name="P7 cut 1"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="1275" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="1520" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="1177" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="1204" /> + </subProcess> + <subProcess name="P7 cut 2"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="1275" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="1520" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="1177" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="1204" /> + </subProcess> + </subProcesses> + </productionProcess> + <productionProcess name="P8" instances="1" priority="8" cuts="3"> + <comptiableDevices> + <comptiableDevice name="Large 1" processingTime="5505" energy="120" montary="4325" /> + <comptiableDevice name="Large 2" processingTime="5341" energy="120" montary="5175" /> + <comptiableDevice name="Large 3" processingTime="7421" energy="120" montary="3982" /> + <comptiableDevice name="Large 4" processingTime="6205" energy="120" montary="4274" /> + </comptiableDevices> + <subProcesses> + <subProcess name="P8 cut 0"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="1441" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="1725" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="1327" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="1424" /> + </subProcess> + <subProcess name="P8 cut 1"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="1441" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="1725" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="1327" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="1424" /> + </subProcess> + <subProcess name="P8 cut 2"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="1441" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="1725" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="1327" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="1424" /> + </subProcess> + </subProcesses> + </productionProcess> + <productionProcess name="P9" instances="1" priority="9" cuts="3"> + <comptiableDevices> + <comptiableDevice name="Large 1" processingTime="5505" energy="120" montary="8039" /> + <comptiableDevice name="Large 2" processingTime="5341" energy="120" montary="10027" /> + <comptiableDevice name="Large 3" processingTime="7421" energy="120" montary="7138" /> + <comptiableDevice name="Large 4" processingTime="6205" energy="120" montary="7347" /> + </comptiableDevices> + <subProcesses> + <subProcess name="P9 cut 0"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="2679" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="3342" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="2379" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="2449" /> + </subProcess> + <subProcess name="P9 cut 1"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="2679" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="3342" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="2379" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="2449" /> + </subProcess> + <subProcess name="P9 cut 2"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="2679" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="3342" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="2379" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="2449" /> + </subProcess> + </subProcesses> + </productionProcess> + <productionProcess name="P10" instances="1" priority="10" cuts="3"> + <comptiableDevices> + <comptiableDevice name="Large 1" processingTime="5505" energy="120" montary="10175" /> + <comptiableDevice name="Large 2" processingTime="5341" energy="120" montary="12844" /> + <comptiableDevice name="Large 3" processingTime="7421" energy="120" montary="8823" /> + <comptiableDevice name="Large 4" processingTime="6205" energy="120" montary="9116" /> + </comptiableDevices> + <subProcesses> + <subProcess name="P10 cut 0"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="3391" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="4281" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="2941" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="3038" /> + </subProcess> + <subProcess name="P10 cut 1"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="3391" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="4281" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="2941" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="3038" /> + </subProcess> + <subProcess name="P10 cut 2"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="3391" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="4281" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="2941" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="3038" /> + </subProcess> + </subProcesses> + </productionProcess> + <productionProcess name="P11" instances="1" priority="11" cuts="3"> + <comptiableDevices> + <comptiableDevice name="Large 1" processingTime="5505" energy="120" montary="1755" /> + <comptiableDevice name="Large 2" processingTime="5341" energy="120" montary="2481" /> + <comptiableDevice name="Large 3" processingTime="7421" energy="120" montary="1206" /> + <comptiableDevice name="Large 4" processingTime="6205" energy="120" montary="1452" /> + </comptiableDevices> + <subProcesses> + <subProcess name="P11 cut 0"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="585" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="827" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="402" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="484" /> + </subProcess> + <subProcess name="P11 cut 1"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="585" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="827" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="402" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="484" /> + </subProcess> + <subProcess name="P11 cut 2"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="585" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="827" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="402" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="484" /> + </subProcess> + </subProcesses> + </productionProcess> + <productionProcess name="P12" instances="1" priority="12" cuts="3"> + <comptiableDevices> + <comptiableDevice name="Large 1" processingTime="5505" energy="120" montary="2058" /> + <comptiableDevice name="Large 2" processingTime="5341" energy="120" montary="2908" /> + <comptiableDevice name="Large 3" processingTime="7421" energy="120" montary="1583" /> + <comptiableDevice name="Large 4" processingTime="6205" energy="120" montary="1816" /> + </comptiableDevices> + <subProcesses> + <subProcess name="P12 cut 0"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="686" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="969" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="527" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="605" /> + </subProcess> + <subProcess name="P12 cut 1"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="686" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="969" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="527" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="605" /> + </subProcess> + <subProcess name="P12 cut 2"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="686" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="969" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="527" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="605" /> + </subProcess> + </subProcesses> + </productionProcess> + <productionProcess name="P13" instances="1" priority="13" cuts="3"> + <comptiableDevices> + <comptiableDevice name="Large 1" processingTime="5505" energy="120" montary="4651" /> + <comptiableDevice name="Large 2" processingTime="5341" energy="120" montary="6573" /> + <comptiableDevice name="Large 3" processingTime="7421" energy="120" montary="3255" /> + <comptiableDevice name="Large 4" processingTime="6205" energy="120" montary="3566" /> + </comptiableDevices> + <subProcesses> + <subProcess name="P13 cut 0"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="1550" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="2191" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="1085" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="1188" /> + </subProcess> + <subProcess name="P13 cut 1"> + <subProcessProcessingDevice name="Large 1 " processingTime="1835" energy="40" montary="1550" /> + <subProcessProcessingDevice name="Large 2 " processingTime="1780" energy="40" montary="2191" /> + <subProcessProcessingDevice name="Large 3 " processingTime="2473" energy="40" montary="1085" /> + <subProcessProcessingDevice name="Large 4 " processingTime="2068" energy="40" montary="1188" /> + </subProcess> + <subProcess name="P13 cut 2"> + 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0000000000000000000000000000000000000000..445f7a36d08b06af9ea1ae5b8b013442a784b4ac --- /dev/null +++ b/result/output CZ 1 not available.txt @@ -0,0 +1,1011 @@ +[ + +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-05 19:00:35.322", +"ENDE_TIME": "2019-04-05 19:36:35.322", +"PROD_ENDE_TIME": "2019-04-05 19:36:35.322", +"BATCH_ID": "0000", +"MEAL_ID": "Rice", +"REZ_ID": "D", +"INSTANZ_NUMMER": "1", +"CHG_SOLL": "400", +"CHG_IST": "400", +"CZ": "2", +"CZ_NAME": "Bridge 2", +"CZ_STATUS": "1", +"POT_NAME": "Pot 2", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-05 19:36:35.322", +"ENDE_TIME": "2019-04-05 20:12:35.322", +"PROD_ENDE_TIME": "2019-04-05 20:12:35.322", +"BATCH_ID": "0001", +"MEAL_ID": "Rice", +"REZ_ID": "D", +"INSTANZ_NUMMER": "0", +"CHG_SOLL": "400", +"CHG_IST": "400", +"CZ": "2", +"CZ_NAME": "Bridge 2", +"CZ_STATUS": "1", +"POT_NAME": "Pot 2", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", 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17:12:35.322", +"ENDE_TIME": "2019-04-06 19:14:35.322", +"PROD_ENDE_TIME": "2019-04-06 19:14:35.322", +"BATCH_ID": "0051", +"MEAL_ID": "Potato", +"REZ_ID": "B", +"INSTANZ_NUMMER": "0", +"CHG_SOLL": "200", +"CHG_IST": "200", +"CZ": "4", +"CZ_NAME": "CookingZone 4", +"CZ_STATUS": "1", +"POT_NAME": "Pot 1", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 19:18:35.322", +"ENDE_TIME": "2019-04-06 20:03:35.322", +"PROD_ENDE_TIME": "2019-04-06 20:03:35.322", +"BATCH_ID": "0052", +"MEAL_ID": "Potato", +"REZ_ID": "A", +"INSTANZ_NUMMER": "2", +"CHG_SOLL": "200", +"CHG_IST": "200", +"CZ": "4", +"CZ_NAME": "CookingZone 4", +"CZ_STATUS": "1", +"POT_NAME": "Pot 1", +"POT_STATUS": "1" +} + +] diff --git a/result/output CZ 2 Pot 2 not available.txt b/result/output CZ 2 Pot 2 not available.txt new file mode 100755 index 0000000000000000000000000000000000000000..1e5167ddd1174ed24da786a249b67f5f706dca9b --- /dev/null +++ b/result/output CZ 2 Pot 2 not available.txt @@ -0,0 +1,593 @@ +[ + +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-05 17:11:01.312", +"ENDE_TIME": "2019-04-05 18:02:01.312", +"PROD_ENDE_TIME": "2019-04-05 18:02:01.312", +"BATCH_ID": "0000", +"MEAL_ID": "Rice", +"REZ_ID": "B", +"INSTANZ_NUMMER": "2", +"CHG_SOLL": "200", +"CHG_IST": "200", +"CZ": "1", +"CZ_NAME": "CookingZone 1", +"CZ_STATUS": "1", +"POT_NAME": "Pot 1", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-05 18:02:01.312", +"ENDE_TIME": "2019-04-05 18:53:01.312", +"PROD_ENDE_TIME": "2019-04-05 18:53:01.312", +"BATCH_ID": "0001", +"MEAL_ID": "Rice", +"REZ_ID": "B", +"INSTANZ_NUMMER": "1", +"CHG_SOLL": "200", +"CHG_IST": "200", +"CZ": "1", +"CZ_NAME": "CookingZone 1", +"CZ_STATUS": "1", +"POT_NAME": "Pot 1", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-05 18:53:01.312", +"ENDE_TIME": "2019-04-05 19:44:01.312", 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0000000000000000000000000000000000000000..3d7000ebf07354f8326f03b725406de6ecb88857 --- /dev/null +++ b/result/output CZ 3 not available.txt @@ -0,0 +1,1011 @@ +[ + +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-05 15:16:29.891", +"ENDE_TIME": "2019-04-05 15:53:29.891", +"PROD_ENDE_TIME": "2019-04-05 15:53:29.891", +"BATCH_ID": "0000", +"MEAL_ID": "Rice", +"REZ_ID": "D", +"INSTANZ_NUMMER": "1", +"CHG_SOLL": "400", +"CHG_IST": "400", +"CZ": "1", +"CZ_NAME": "Bridge 1", +"CZ_STATUS": "1", +"POT_NAME": "Pot 2", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-05 15:53:29.891", +"ENDE_TIME": "2019-04-05 16:30:29.891", +"PROD_ENDE_TIME": "2019-04-05 16:30:29.891", +"BATCH_ID": "0001", +"MEAL_ID": "Rice", +"REZ_ID": "D", +"INSTANZ_NUMMER": "0", +"CHG_SOLL": "400", +"CHG_IST": "400", +"CZ": "1", +"CZ_NAME": "Bridge 1", +"CZ_STATUS": "1", +"POT_NAME": "Pot 2", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", 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"2019-04-06 14:41:29.891", +"ENDE_TIME": "2019-04-06 17:44:29.891", +"PROD_ENDE_TIME": "2019-04-06 17:44:29.891", +"BATCH_ID": "0051", +"MEAL_ID": "Potato", +"REZ_ID": "B", +"INSTANZ_NUMMER": "0", +"CHG_SOLL": "200", +"CHG_IST": "200", +"CZ": "4", +"CZ_NAME": "CookingZone 4", +"CZ_STATUS": "1", +"POT_NAME": "Pot 1", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 17:44:29.891", +"ENDE_TIME": "2019-04-06 18:29:29.891", +"PROD_ENDE_TIME": "2019-04-06 18:29:29.891", +"BATCH_ID": "0052", +"MEAL_ID": "Potato", +"REZ_ID": "A", +"INSTANZ_NUMMER": "2", +"CHG_SOLL": "200", +"CHG_IST": "200", +"CZ": "4", +"CZ_NAME": "CookingZone 4", +"CZ_STATUS": "1", +"POT_NAME": "Pot 1", +"POT_STATUS": "1" +} + +] diff --git a/result/output CZ 4 Pot 2 not available.txt b/result/output CZ 4 Pot 2 not available.txt new file mode 100755 index 0000000000000000000000000000000000000000..d192f6d2de7d00ebd39e2ee5b1c0aadce5267806 --- /dev/null +++ b/result/output CZ 4 Pot 2 not available.txt @@ -0,0 +1,593 @@ +[ + +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-05 17:00:14.032", +"ENDE_TIME": "2019-04-05 17:50:14.032", +"PROD_ENDE_TIME": "2019-04-05 17:50:14.032", +"BATCH_ID": "0000", +"MEAL_ID": "Rice", +"REZ_ID": "B", +"INSTANZ_NUMMER": "2", +"CHG_SOLL": "200", +"CHG_IST": "200", +"CZ": "2", +"CZ_NAME": "CookingZone 2", +"CZ_STATUS": "1", +"POT_NAME": "Pot 1", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-05 19:30:14.032", +"ENDE_TIME": "2019-04-05 20:25:14.032", +"PROD_ENDE_TIME": "2019-04-05 20:25:14.032", +"BATCH_ID": "0001", +"MEAL_ID": "Rice", +"REZ_ID": "A", +"INSTANZ_NUMMER": "2", +"CHG_SOLL": "200", +"CHG_IST": "200", +"CZ": "2", +"CZ_NAME": "CookingZone 2", +"CZ_STATUS": "1", +"POT_NAME": "Pot 1", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-05 22:15:14.032", +"ENDE_TIME": "2019-04-06 00:15:14.032", 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b/result/output CZ 4 not available.txt @@ -0,0 +1,1011 @@ +[ + +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-05 15:06:00.598", +"ENDE_TIME": "2019-04-05 15:43:00.598", +"PROD_ENDE_TIME": "2019-04-05 15:43:00.598", +"BATCH_ID": "0000", +"MEAL_ID": "Rice", +"REZ_ID": "D", +"INSTANZ_NUMMER": "1", +"CHG_SOLL": "400", +"CHG_IST": "400", +"CZ": "1", +"CZ_NAME": "Bridge 1", +"CZ_STATUS": "1", +"POT_NAME": "Pot 2", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-05 15:43:00.598", +"ENDE_TIME": "2019-04-05 16:20:00.598", +"PROD_ENDE_TIME": "2019-04-05 16:20:00.598", +"BATCH_ID": "0001", +"MEAL_ID": "Rice", +"REZ_ID": "D", +"INSTANZ_NUMMER": "0", +"CHG_SOLL": "400", +"CHG_IST": "400", +"CZ": "1", +"CZ_NAME": "Bridge 1", +"CZ_STATUS": "1", +"POT_NAME": "Pot 2", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-05 16:20:00.598", +"ENDE_TIME": "2019-04-05 17:02:00.598", 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"2019-04-06 00:01:02.857", +"BATCH_ID": "0035", +"MEAL_ID": "Beef", +"REZ_ID": "D", +"INSTANZ_NUMMER": "1", +"CHG_SOLL": "500", +"CHG_IST": "500", +"CZ": "2", +"CZ_NAME": "Bridge 2", +"CZ_STATUS": "1", +"POT_NAME": "Pot 2", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 01:26:02.857", +"ENDE_TIME": "2019-04-06 02:57:02.857", +"PROD_ENDE_TIME": "2019-04-06 02:57:02.857", +"BATCH_ID": "0036", +"MEAL_ID": "Beef", +"REZ_ID": "C", +"INSTANZ_NUMMER": "1", +"CHG_SOLL": "500", +"CHG_IST": "500", +"CZ": "2", +"CZ_NAME": "Bridge 2", +"CZ_STATUS": "1", +"POT_NAME": "Pot 2", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 04:57:02.857", +"ENDE_TIME": "2019-04-06 05:13:02.857", +"PROD_ENDE_TIME": "2019-04-06 05:13:02.857", +"BATCH_ID": "0037", +"MEAL_ID": "Pasta", +"REZ_ID": "D", +"INSTANZ_NUMMER": "1", +"CHG_SOLL": "200", +"CHG_IST": "200", +"CZ": "2", +"CZ_NAME": "Bridge 2", +"CZ_STATUS": "1", +"POT_NAME": "Pot 2", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 05:13:02.857", +"ENDE_TIME": "2019-04-06 05:29:02.857", +"PROD_ENDE_TIME": "2019-04-06 05:29:02.857", +"BATCH_ID": "0038", +"MEAL_ID": "Pasta", +"REZ_ID": "D", +"INSTANZ_NUMMER": "0", +"CHG_SOLL": "200", +"CHG_IST": "200", +"CZ": "2", +"CZ_NAME": "Bridge 2", +"CZ_STATUS": "1", +"POT_NAME": "Pot 2", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 05:29:02.857", +"ENDE_TIME": "2019-04-06 05:50:02.857", +"PROD_ENDE_TIME": "2019-04-06 05:50:02.857", +"BATCH_ID": "0039", +"MEAL_ID": "Pasta", +"REZ_ID": "C", +"INSTANZ_NUMMER": "1", +"CHG_SOLL": "200", +"CHG_IST": "200", +"CZ": "2", +"CZ_NAME": "Bridge 2", +"CZ_STATUS": "1", +"POT_NAME": "Pot 2", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 05:50:02.857", +"ENDE_TIME": "2019-04-06 06:13:02.857", +"PROD_ENDE_TIME": "2019-04-06 06:13:02.857", +"BATCH_ID": "0040", +"MEAL_ID": "Mushroom", +"REZ_ID": "D", +"INSTANZ_NUMMER": "0", +"CHG_SOLL": "300", +"CHG_IST": "300", +"CZ": "2", +"CZ_NAME": "Bridge 2", +"CZ_STATUS": "1", +"POT_NAME": "Pot 2", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 06:13:02.857", +"ENDE_TIME": "2019-04-06 06:38:02.857", +"PROD_ENDE_TIME": "2019-04-06 06:38:02.857", +"BATCH_ID": "0041", +"MEAL_ID": "Mushroom", +"REZ_ID": "C", +"INSTANZ_NUMMER": "0", +"CHG_SOLL": "300", +"CHG_IST": "300", +"CZ": "2", +"CZ_NAME": "Bridge 2", +"CZ_STATUS": "1", +"POT_NAME": "Pot 2", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 06:38:02.857", +"ENDE_TIME": "2019-04-06 07:09:02.857", +"PROD_ENDE_TIME": "2019-04-06 07:09:02.857", +"BATCH_ID": "0042", +"MEAL_ID": "Potato", +"REZ_ID": "D", +"INSTANZ_NUMMER": "0", +"CHG_SOLL": "400", +"CHG_IST": "400", +"CZ": "2", +"CZ_NAME": "Bridge 2", +"CZ_STATUS": "1", +"POT_NAME": "Pot 2", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 07:09:02.857", +"ENDE_TIME": "2019-04-06 07:42:02.857", +"PROD_ENDE_TIME": "2019-04-06 07:42:02.857", +"BATCH_ID": "0043", +"MEAL_ID": "Potato", +"REZ_ID": "C", +"INSTANZ_NUMMER": "0", +"CHG_SOLL": "400", +"CHG_IST": "400", +"CZ": "2", +"CZ_NAME": "Bridge 2", +"CZ_STATUS": "1", +"POT_NAME": "Pot 2", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-05 19:12:02.857", +"ENDE_TIME": "2019-04-05 22:35:02.857", +"PROD_ENDE_TIME": "2019-04-05 22:35:02.857", +"BATCH_ID": "0044", +"MEAL_ID": "Rice", +"REZ_ID": "A", +"INSTANZ_NUMMER": "1", +"CHG_SOLL": "200", +"CHG_IST": "200", +"CZ": "3", +"CZ_NAME": "CookingZone 3", +"CZ_STATUS": "1", +"POT_NAME": "Pot 1", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 00:01:02.857", +"ENDE_TIME": "2019-04-06 04:52:02.857", +"PROD_ENDE_TIME": "2019-04-06 04:52:02.857", +"BATCH_ID": "0045", +"MEAL_ID": "Beef", +"REZ_ID": "B", +"INSTANZ_NUMMER": "1", +"CHG_SOLL": "250", +"CHG_IST": "250", +"CZ": "3", +"CZ_NAME": "CookingZone 3", +"CZ_STATUS": "1", +"POT_NAME": "Pot 1", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 10:29:02.857", +"ENDE_TIME": "2019-04-06 10:33:02.857", +"PROD_ENDE_TIME": "2019-04-06 10:33:02.857", +"BATCH_ID": "0046", +"MEAL_ID": "Boiled Water", +"REZ_ID": "A", +"INSTANZ_NUMMER": "2", +"CHG_SOLL": "1000", +"CHG_IST": "1000", +"CZ": "3", +"CZ_NAME": "CookingZone 3", +"CZ_STATUS": "1", +"POT_NAME": "Pot 1", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 10:44:02.857", +"ENDE_TIME": "2019-04-06 11:13:02.857", +"PROD_ENDE_TIME": "2019-04-06 11:13:02.857", +"BATCH_ID": "0047", +"MEAL_ID": "Pasta", +"REZ_ID": "B", +"INSTANZ_NUMMER": "2", +"CHG_SOLL": "100", +"CHG_IST": "100", +"CZ": "3", +"CZ_NAME": "CookingZone 3", +"CZ_STATUS": "1", +"POT_NAME": "Pot 1", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 11:13:02.857", +"ENDE_TIME": "2019-04-06 11:42:02.857", +"PROD_ENDE_TIME": "2019-04-06 11:42:02.857", +"BATCH_ID": "0048", +"MEAL_ID": "Pasta", +"REZ_ID": "B", +"INSTANZ_NUMMER": "1", +"CHG_SOLL": "100", +"CHG_IST": "100", +"CZ": "3", +"CZ_NAME": "CookingZone 3", +"CZ_STATUS": "1", +"POT_NAME": "Pot 1", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 11:42:02.857", +"ENDE_TIME": "2019-04-06 12:11:02.857", +"PROD_ENDE_TIME": "2019-04-06 12:11:02.857", +"BATCH_ID": "0049", +"MEAL_ID": "Pasta", +"REZ_ID": "B", +"INSTANZ_NUMMER": "0", +"CHG_SOLL": "100", +"CHG_IST": "100", +"CZ": "3", +"CZ_NAME": "CookingZone 3", +"CZ_STATUS": "1", +"POT_NAME": "Pot 1", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 16:20:02.857", +"ENDE_TIME": "2019-04-06 17:04:02.857", +"PROD_ENDE_TIME": "2019-04-06 17:04:02.857", +"BATCH_ID": "0050", +"MEAL_ID": "Potato", +"REZ_ID": "B", +"INSTANZ_NUMMER": "2", +"CHG_SOLL": "200", +"CHG_IST": "200", +"CZ": "3", +"CZ_NAME": "CookingZone 3", +"CZ_STATUS": "1", +"POT_NAME": "Pot 1", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 17:47:02.857", +"ENDE_TIME": "2019-04-06 18:31:02.857", +"PROD_ENDE_TIME": "2019-04-06 18:31:02.857", +"BATCH_ID": "0051", +"MEAL_ID": "Potato", +"REZ_ID": "B", +"INSTANZ_NUMMER": "0", +"CHG_SOLL": "200", +"CHG_IST": "200", +"CZ": "3", +"CZ_NAME": "CookingZone 3", +"CZ_STATUS": "1", +"POT_NAME": "Pot 1", +"POT_STATUS": "1" +}, +{ +"JAHR": "2019", +"MONAT": "4", +"TAG": "4", +"ORD_START_TIME": "2019-04-06 19:16:02.857", +"ENDE_TIME": "2019-04-06 20:02:02.857", +"PROD_ENDE_TIME": "2019-04-06 20:02:02.857", +"BATCH_ID": "0052", +"MEAL_ID": "Potato", +"REZ_ID": "A", +"INSTANZ_NUMMER": "1", +"CHG_SOLL": "200", +"CHG_IST": "200", +"CZ": "3", +"CZ_NAME": "CookingZone 3", +"CZ_STATUS": "1", +"POT_NAME": "Pot 1", +"POT_STATUS": "1" +} + +] diff --git a/safire.jar b/safire.jar new file mode 100644 index 0000000000000000000000000000000000000000..c0b9586a520ab6c8805360e870388b570d340016 Binary files /dev/null and b/safire.jar differ diff --git a/src/main/java/uk/ac/york/aura/EA.java b/src/main/java/uk/ac/york/aura/EA.java old mode 100644 new mode 100755 index 3c4d7c97f7edc27a4e7d7d66d115ebb625c82490..b7b8741df13e3b612bf012d7bb535ed36b1b5548 --- a/src/main/java/uk/ac/york/aura/EA.java +++ b/src/main/java/uk/ac/york/aura/EA.java @@ -1,7 +1,6 @@ package uk.ac.york.aura; import java.util.ArrayList; -import java.util.Collections; import java.util.Comparator; import java.util.List; import java.util.Random; @@ -12,81 +11,98 @@ import java.util.stream.Collectors; import java.util.stream.IntStream; import java.util.stream.Stream; -import org.apache.commons.lang3.builder.ToStringStyle; import org.apache.commons.math3.util.Pair; import uk.ac.york.safire.metrics.Configuration; -import uk.ac.york.safire.optimisation.*; +import uk.ac.york.safire.optimisation.ObjectiveFunction; +import uk.ac.york.safire.optimisation.ObjectiveFunctionArguments; +import uk.ac.york.safire.optimisation.ObjectiveFunctionResult; /////////////////////////////////// public final class EA { - static Pair< List< PopulationEntry >, PopulationEntry > - apply(List< Configuration > initialPopulation, - ObjectiveFunction.LocalObjectiveFunction of, - Comparator< List< Double > > compareMultiObjective, - BiFunction< List< PopulationEntry >, Random, PopulationEntry > select, - BiFunction< Configuration, Configuration, Configuration > crossover, - Function< Configuration, Configuration > mutation, - Predicate< List< List< PopulationEntry > > > isFinished, Random rng ) { - - if( initialPopulation.size() < 2 ) + public static Pair<List<PopulationEntry>, PopulationEntry> apply(List<Configuration> initialPopulation, + ObjectiveFunction.LocalObjectiveFunction of, Comparator<List<Double>> compareMultiObjective, + BiFunction<List<PopulationEntry>, Random, PopulationEntry> select, + BiFunction<Configuration, Configuration, Configuration> crossover, + Function<Configuration, Configuration> mutation, Predicate<List<List<PopulationEntry>>> isFinished, + Random rng) { + + if (initialPopulation.size() < 2) throw new IllegalArgumentException(); - + /////////////////////////// - + final Comparator<PopulationEntry> cmpPE = new Comparator<PopulationEntry>() { @Override public int compare(PopulationEntry a, PopulationEntry b) { - return compareMultiObjective.compare(a.getObjectives(),b.getObjectives()); + return compareMultiObjective.compare(a.getObjectives(), b.getObjectives()); } }; - - final Stream< PopulationEntry > population = initialPopulation.parallelStream().map( - (Configuration c) -> { - final ObjectiveFunctionResult evaled = ObjectiveFunction.evaluateNowHelper(of,new ObjectiveFunctionArguments(c, c.getControlledMetrics()) ); - return new PopulationEntry(evaled.getConfiguration(), evaled.getObjectiveValues() ); - } - ); + + final Stream<PopulationEntry> population = initialPopulation.parallelStream().map((Configuration c) -> { + ObjectiveFunctionResult evaled = null; + try { + evaled = of.evaluate(new ObjectiveFunctionArguments(c, c.getControlledMetrics())).call(); + } catch (Exception e) { + e.printStackTrace(); + } + return new PopulationEntry(evaled.getConfiguration(), evaled.getObjectiveValues()); + }); /////////////////////////// - - List< PopulationEntry > currentPopulation = population.collect(Collectors.toList()); + + List<PopulationEntry> currentPopulation = population.collect(Collectors.toList()); PopulationEntry bestEver = currentPopulation.stream().max(cmpPE).get(); - - List< List< PopulationEntry > > history = new ArrayList<>(); - history.add( currentPopulation ); - while( !isFinished.test( history ) ) { - - final List< PopulationEntry > newPopulation = new ArrayList<>(); - - final List< PopulationEntry > thisGen = currentPopulation; - - // IntStream.range(0, initialPopulation.size() / 2).parallel().forEach( i -> { - IntStream.range(0, initialPopulation.size() / 2).forEach( i -> { - final PopulationEntry p1 = select.apply( thisGen, rng ); - final PopulationEntry p2 = select.apply( thisGen, rng ); - final Configuration c1 = mutation.apply( crossover.apply( p1.getConfiguration(), p2.getConfiguration() ) ); - final Configuration c2 = mutation.apply( crossover.apply( p1.getConfiguration(), p2.getConfiguration() ) ); - final ObjectiveFunctionResult evaled1 = ObjectiveFunction.evaluateNowHelper(of, new ObjectiveFunctionArguments( c1, c1.getControlledMetrics() ) ); - final ObjectiveFunctionResult evaled2 = ObjectiveFunction.evaluateNowHelper(of,new ObjectiveFunctionArguments( c2, c2.getControlledMetrics() ) ); - final PopulationEntry e1 = new PopulationEntry(evaled1.getConfiguration(), evaled1.getObjectiveValues() ); - final PopulationEntry e2 = new PopulationEntry(evaled2.getConfiguration(), evaled2.getObjectiveValues() ); + + List<List<PopulationEntry>> history = new ArrayList<>(); + history.add(currentPopulation); + while (!isFinished.test(history)) { + System.out.println("now " + history.size() + " generations"); + + final List<PopulationEntry> newPopulation = new ArrayList<>(); + + final List<PopulationEntry> thisGen = currentPopulation; + + // IntStream.range(0, initialPopulation.size() / 2).parallel().forEach( i -> { + IntStream.range(0, initialPopulation.size() / 2).forEach(i -> { + final PopulationEntry p1 = select.apply(thisGen, rng); + final PopulationEntry p2 = select.apply(thisGen, rng); + final Configuration c1 = mutation.apply(crossover.apply(p1.getConfiguration(), p2.getConfiguration())); + final Configuration c2 = mutation.apply(crossover.apply(p1.getConfiguration(), p2.getConfiguration())); + ObjectiveFunctionResult evaled1 = null; + try { + evaled1 = of.evaluate(new ObjectiveFunctionArguments(c1, c1.getControlledMetrics())).call(); + } catch (Exception e) { + e.printStackTrace(); + } + ObjectiveFunctionResult evaled2 = null; + try { + evaled2 = of.evaluate(new ObjectiveFunctionArguments(c2, c2.getControlledMetrics())).call(); + } catch (Exception e) { + e.printStackTrace(); + } + final PopulationEntry e1 = new PopulationEntry(evaled1.getConfiguration(), + evaled1.getObjectiveValues()); + final PopulationEntry e2 = new PopulationEntry(evaled2.getConfiguration(), + evaled2.getObjectiveValues()); newPopulation.add(e1); - newPopulation.add(e2); - } ); -// jeep.lang.Diag.println( initialPopulation.size() ); -// jeep.lang.Diag.println( newPopulation.size() ); -assert( newPopulation.size() == initialPopulation.size() ); + newPopulation.add(e2); + }); + // jeep.lang.Diag.println( initialPopulation.size() ); + // jeep.lang.Diag.println( newPopulation.size() ); + assert (newPopulation.size() == initialPopulation.size()); final PopulationEntry newBest = newPopulation.parallelStream().max(cmpPE).get(); - bestEver = cmpPE.compare(bestEver, newBest) < 0 ? newBest : bestEver; + bestEver = cmpPE.compare(bestEver, newBest) < 0 ? newBest : bestEver; currentPopulation = newPopulation; history.add(newPopulation); + } - + return Pair.create(currentPopulation, bestEver); } + } // End /////////////////////////////////////////////////////////////// diff --git a/src/main/java/uk/ac/york/aura/MOEAD.java b/src/main/java/uk/ac/york/aura/MOEAD.java new file mode 100755 index 0000000000000000000000000000000000000000..d3e54b4e18b8148e9f87e45c00958bc3e309cd3d --- /dev/null +++ b/src/main/java/uk/ac/york/aura/MOEAD.java @@ -0,0 +1,107 @@ +package uk.ac.york.aura; + +import java.util.ArrayList; +import java.util.List; +import java.util.Random; +import java.util.function.BiFunction; +import java.util.function.Function; +import java.util.function.Predicate; + +import uk.ac.york.safire.metrics.Configuration; +import uk.ac.york.safire.metrics.SearchDirection; +import uk.ac.york.safire.optimisation.ObjectiveFunction.LocalObjectiveFunction; +import uk.ac.york.safire.optimisation.ObjectiveFunctionArguments; +import uk.ac.york.safire.optimisation.ObjectiveFunctionResult; + +/** + * This class implements the original MOEA/D algorithm proposed by the following + * article. The implementation follows exactly as the descriptions provided in + * the paper. + * + * Q. Zhang and H. Li, "MOEA/D: A Multiobjective Evolutionary Algorithm Based on + * Decomposition," in IEEE Transactions on Evolutionary Computation, vol. 11, + * no. 6, pp. 712-731, Dec. 2007. + */ + +public class MOEAD extends MOEADAbstract { + + public MOEAD(List<Configuration> initialPopulation, LocalObjectiveFunction of, + BiFunction<Configuration, Configuration, Configuration> crossover, + Function<Configuration, Configuration> mutation, Predicate<List<List<PopulationEntry>>> isFinished, + List<Double> objectiveValueRanges, int tournamentSize, SearchDirection dir, Random rng) { + super(initialPopulation, of, crossover, mutation, isFinished, objectiveValueRanges, tournamentSize, dir, rng); + } + + public void evolve() { + /* for each individual in the current population */ + for (int i = 0; i < populationSize; i++) { + /* + * Step 2.1 Reproduction. Get two random neighbors of individual i and let them + * crossover and mutate. + */ + int[] neighborIndexes = neighborhood.get(i); + + /* The randomly selection applied in the original MOEA/D algorithm. */ + PopulationEntry corssover1 = currentPopulation.get(neighborIndexes[rng.nextInt(neighborIndexes.length)]); + PopulationEntry corssover2 = currentPopulation.get(neighborIndexes[rng.nextInt(neighborIndexes.length)]); + + List<Configuration> offSpring = new ArrayList<>(); + offSpring + .add(mutation.apply(crossover.apply(corssover1.getConfiguration(), corssover2.getConfiguration()))); + offSpring + .add(mutation.apply(crossover.apply(corssover1.getConfiguration(), corssover2.getConfiguration()))); + + for (Configuration newIndividual : offSpring) { + /* + * Step 2.2 Repair and Improvement. Apply the problem-specific heuristic to + * improve the new individual. For our application, this should check whether + * the solution is schedulable. + */ + + /* Calculate the objective values of the new individual */ + ObjectiveFunctionResult evaled = null; + try { + evaled = of + .evaluate( + new ObjectiveFunctionArguments(newIndividual, newIndividual.getControlledMetrics())) + .call(); + } catch (Exception e) { + e.printStackTrace(); + } + + PopulationEntry newIndividualEntry = new PopulationEntry(evaled.getConfiguration(), + evaled.getObjectiveValues()); + + /* + * Step 2.3 Update of Z. Update the Z vector if the new individual contains + * better values for any subproblems. + */ + updateIdealPoint(newIndividualEntry); + + /* + * Step 2.4 Update of Neighboring Solution. Iterates through all neighbors of + * individual i and replaces the neighbors with the new individual if they have + * a lower fitness. + */ + for (int j = 0; j < neighborhood.get(i).length; j++) { + double neighborFitness = getFitness(currentPopulation.get(neighborIndexes[j]), neighborIndexes[j]); + + double newFitness = getFitness(newIndividualEntry, neighborIndexes[j]); + if (newFitness <= neighborFitness) { + currentPopulation.set(neighborIndexes[j], newIndividualEntry); + fitness.set(neighborIndexes[j], newFitness); + } + } + + /* + * Step 2.5 Update of EP. (1) Remove from EP all the individuals dominated by + * the new individual; (2) Add new individual to EP if no individuals in EP + * dominates it. + */ + updateExternalPopulation(newIndividualEntry); + } + + } + } + +} diff --git a/src/main/java/uk/ac/york/aura/MOEADAbstract.java b/src/main/java/uk/ac/york/aura/MOEADAbstract.java new file mode 100755 index 0000000000000000000000000000000000000000..c394d46daab94dec0d1747299dbdfb1476064e0c --- /dev/null +++ b/src/main/java/uk/ac/york/aura/MOEADAbstract.java @@ -0,0 +1,498 @@ +package uk.ac.york.aura; + +import java.util.ArrayList; +import java.util.List; +import java.util.Random; +import java.util.function.BiFunction; +import java.util.function.Function; +import java.util.function.Predicate; +import java.util.stream.Collectors; +import java.util.stream.Stream; + +import org.apache.commons.math3.primes.Primes; + +import uk.ac.york.safire.metrics.Configuration; +import uk.ac.york.safire.metrics.SearchDirection; +import uk.ac.york.safire.optimisation.ObjectiveFunction; +import uk.ac.york.safire.optimisation.ObjectiveFunctionArguments; +import uk.ac.york.safire.optimisation.ObjectiveFunctionResult; + +/** + * This class provide the abstraction towards various versions of MOEA\D + * algorithms. + */ + +public abstract class MOEADAbstract { + + /** + * The supported decomposition approaches. + */ + private static enum DecompositionType { + WEIGHTEDSUM, TCHEBYCHEFF; + } + + /********************* Configurable MOEA/D Parameters *********************/ + + /** By default the Tchebycheff decomposition approach is applied. */ + static final DecompositionType decomposition = DecompositionType.TCHEBYCHEFF; + + /** The notion T in Zhang & Li paper, specifying the size of neighborhood */ + static final int neighborhoodSize = 30; + + /** The size of the external population i.e., the Pareto Front */ + static int SIZE_OF_EP = 100; + + /****************** Configurable MOEA/D Parameters Ends ********************/ + + /************************ Fixed MOEA/D Parameters *************************/ + + /* Weight vectors */ + List<double[]> lambda; + + /* The neighborhood of each individual */ + List<int[]> neighborhood; + + /* + * The fitness value of each individual calculated by a certain decomposition + * approach. This implementation supports the Weighted Sum and Tchebycheff + * decomposition approaches described in Zhang & Li paper. + */ + List<Double> fitness; + + /* + * The notation of Z in in Zhang & Li paper, stores the best results of each + * objective. + */ + List<Double> idealPoint; + + /* + * The external population stores the non-dominated solutions (PF) found during + * the search. The size of this list is strictly limited to @param SIZE_OF_EP. + */ + List<PopulationEntry> externalPopulation; + + List<PopulationEntry> bestSolutions; + + /********************** Fixed MOEA/D Parameters Ends **********************/ + + /************************** Generic GA Parameters *************************/ + int populationSize; + int numberOfObjectives; + int tournamentSize; + + SearchDirection dir; + Random rng; + List<Configuration> initialPopulation; + ObjectiveFunction.LocalObjectiveFunction of; + BiFunction<Configuration, Configuration, Configuration> crossover; + Function<Configuration, Configuration> mutation; + List<Double> objectiveValueRanges; + Predicate<List<List<PopulationEntry>>> isFinished; + + public List<PopulationEntry> currentPopulation; + + /************************ Generic GA Parameters Ends ***********************/ + + public MOEADAbstract(List<Configuration> initialPopulation, ObjectiveFunction.LocalObjectiveFunction of, + BiFunction<Configuration, Configuration, Configuration> crossover, + Function<Configuration, Configuration> mutation, Predicate<List<List<PopulationEntry>>> isFinished, + List<Double> objectiveValueRanges, int tournamentSize, SearchDirection dir, Random rng) { + this.initialPopulation = initialPopulation; + this.of = of; + this.crossover = crossover; + this.mutation = mutation; + this.isFinished = isFinished; + this.objectiveValueRanges = objectiveValueRanges; + + this.populationSize = initialPopulation.size(); + this.numberOfObjectives = initialPopulation.get(0).getKeyObjectives().size(); + this.tournamentSize = tournamentSize; + this.dir = dir; + this.rng = rng; + + this.lambda = new ArrayList<double[]>(populationSize); + this.neighborhood = new ArrayList<int[]>(populationSize); + this.fitness = new ArrayList<Double>(populationSize); + this.idealPoint = new ArrayList<Double>(numberOfObjectives); + this.externalPopulation = new ArrayList<PopulationEntry>(); + this.bestSolutions = new ArrayList<PopulationEntry>(); + + List<String> keys = initialPopulation.get(0).getKeyObjectives().keySet().stream() + .filter(k -> k.contains("discrepancy")).collect(Collectors.toList()); + + for (int i = 0; i < keys.size(); i++) { + this.bestSolutions.add(null); + } + } + + /** + * Returns the first @param numOfPrimes prime numbers. + */ + private int[] generateFirstKPrimes(int numOfPrimes) { + int[] primes = new int[numOfPrimes]; + primes[0] = 2; + + for (int i = 1; i < numOfPrimes; i++) { + primes[i] = Primes.nextPrime(primes[i - 1]); + } + + return primes; + } + + /** + * Generates weights according to a uniform design of mixtures using the + * Hammersley low-discrepancy sequence generator. This algorithm is implemented + * by David Hadka from the MOEAFramework project at + * https://github.com/dhadka/MOEAFramework. + */ + void initializeUniformWeight() { + if (numberOfObjectives == 1) { + for (int n = 0; n < populationSize; n++) { + lambda.add(new double[] { 1 }); + } + return; + } + if (numberOfObjectives == 2) { + for (int n = 0; n < populationSize; n++) { + double a = 1.0 * n / (populationSize - 1); + + lambda.add(new double[] { a, 1 - a }); + } + return; + } + + /* generate uniform design using Hammersley method */ + List<double[]> designs = new ArrayList<double[]>(); + int[] primes = generateFirstKPrimes(numberOfObjectives - 2); + + for (int i = 0; i < populationSize; i++) { + double[] design = new double[numberOfObjectives - 1]; + design[0] = (2.0 * (i + 1) - 1.0) / (2.0 * populationSize); + + for (int j = 1; j < numberOfObjectives - 1; j++) { + double f = 1.0 / primes[j - 1]; + int d = i + 1; + design[j] = 0.0; + + while (d > 0) { + design[j] += f * (d % primes[j - 1]); + d = d / primes[j - 1]; + f = f / primes[j - 1]; + } + } + + designs.add(design); + } + + /* transform designs into weight vectors (sum to 1) */ + for (double[] design : designs) { + double[] weight = new double[numberOfObjectives]; + + for (int i = 1; i <= numberOfObjectives; i++) { + if (i == numberOfObjectives) { + weight[i - 1] = 1.0; + } else { + weight[i - 1] = 1.0 - Math.pow(design[i - 1], 1.0 / (numberOfObjectives - i)); + } + + for (int j = 1; j <= i - 1; j++) { + weight[i - 1] *= Math.pow(design[j - 1], 1.0 / (numberOfObjectives - j)); + } + } + lambda.add(weight); + } + + } + + /** + * Initialize neighborhoods of each individual. + */ + void initializeNeighborhood() { + + for (int i = 0; i < populationSize; i++) { + double[] euclideanDistance = new double[populationSize]; + int[] potentialNeighbors = new int[populationSize]; + + for (int j = 0; j < populationSize; j++) { + + /**************************************************************** + * calculate the Euclidean Distances based on weight vectors. see + * https://en.wikipedia.org/wiki/Euclidean_distance for details. + ***************************************************************/ + int dimension = lambda.get(i).length; + double sum = 0; + for (int k = 0; k < dimension; k++) { + sum += (lambda.get(i)[k] - lambda.get(j)[k]) * (lambda.get(i)[k] - lambda.get(j)[k]); + } + + /* The Euclidean Distance between individual i and j. */ + euclideanDistance[j] = Math.sqrt(sum); + potentialNeighbors[j] = j; + } + + /* + * Now we apply the notion of T (the neighborhood size) and get set the T closet + * neighbors of individual i. + */ + for (int n = 0; n < neighborhoodSize; n++) { + for (int m = n + 1; m < populationSize; m++) { + if (euclideanDistance[n] > euclideanDistance[m]) { + double neighborED = euclideanDistance[n]; + euclideanDistance[n] = euclideanDistance[m]; + euclideanDistance[m] = neighborED; + + int neighborID = potentialNeighbors[n]; + potentialNeighbors[n] = potentialNeighbors[m]; + potentialNeighbors[m] = neighborID; + } + } + } + + int actualNeighborhoodSize = Math.min(neighborhoodSize, populationSize); + int[] neighbors = new int[actualNeighborhoodSize]; + System.arraycopy(potentialNeighbors, 0, neighbors, 0, actualNeighborhoodSize); + neighborhood.add(neighbors); + } + } + + /** + * By default the ideal point is initialized to the positive infinity. + */ + void initializeIdealPoint() { + for (int i = 0; i < numberOfObjectives; i++) { + idealPoint.add(Double.POSITIVE_INFINITY); + } + } + + /** + * Update the ideal point to the best observed values so far. + */ + void updateIdealPoint(List<PopulationEntry> population) { + for (PopulationEntry entry : population) + updateIdealPoint(entry); + } + + void updateIdealPoint(PopulationEntry individual) { + for (int i = 0; i < individual.getObjectives().size(); i++) { + double ideal = idealPoint.get(i); + double objective = individual.getObjectives().get(i); + if (objective < ideal) { + idealPoint.set(i, objective); + if (bestSolutions.size() > 0 && i >= individual.getObjectives().size() - bestSolutions.size()) { + bestSolutions.set(i - (individual.getObjectives().size() - bestSolutions.size()), individual); + } + + } + // idealPoint.set(i, Math.min(idealPoint.get(i), + // individual.getObjectives().get(i))); + } + } + + /** + * Here we compute the fitness value for each individual in the given population + * via the defined decomposition approach. + */ + double getFitness(PopulationEntry individual, int index) { + double Fitness = 0; + + switch (decomposition) { + case WEIGHTEDSUM: + Fitness = 0; + for (int i = 0; i < individual.getObjectives().size(); i++) { + Fitness += individual.getObjectives().get(i) * lambda.get(index)[i]; + } + break; + + case TCHEBYCHEFF: + Fitness = Double.NEGATIVE_INFINITY; + for (int i = 0; i < individual.getObjectives().size(); i++) { + Fitness = Math.max(Fitness, Math.max(lambda.get(index)[i], 0.0001) + * Math.abs(individual.getObjectives().get(i) - idealPoint.get(i))); + } + + break; + default: + break; + } + + return Fitness; + } + + void getFitnessAll(List<PopulationEntry> population) { + for (int i = 0; i < populationSize; i++) + fitness.add(getFitness(population.get(i), i)); + } + + /** + * Return true if @param individual1 strictly dominates @param individual2 on + * each objective. Return false otherwise. + */ + boolean dominate(PopulationEntry individual1, PopulationEntry individual2) { + boolean isDominate = false; + + if (individual1.getObjectives().size() != individual2.getObjectives().size()) { + System.out.println("error"); + } + + for (int i = 0; i < individual1.getObjectives().size(); i++) { + if (individual1.getObjectives().get(i) > individual2.getObjectives().get(i)) + return false; + if (individual1.getObjectives().get(i) <= individual2.getObjectives().get(i)) + isDominate = true; + } + + return isDominate; + } + + /** + * Update the external population list. This list will be returned as the final + * optimization result. A new @param candidate can join into the list if and + * only if no members in the list can dominate the @param candidate. The members + * that are dominated by the @param candidate will be removed from the list. + */ + void updateExternalPopulation(PopulationEntry candidate) { + + if (externalPopulation.size() == 0) + externalPopulation.add(candidate); + else { + boolean eligibleToJoin = true; + + /* + * remove the members that are dominated by the candidate and check the + * eligibility of the candidate. + */ + for (int i = 0; i < externalPopulation.size(); i++) { + PopulationEntry member = externalPopulation.get(i); + if (dominate(candidate, member)) { + /* the candidate dominates a member */ + externalPopulation.remove(i); + i--; + } else if (dominate(member, candidate)) + /* the candidate is dominated by a member */ + eligibleToJoin = false; + } + + if (eligibleToJoin) { + if (externalPopulation.size() < SIZE_OF_EP) + externalPopulation.add(candidate); + else { + boolean isVIP = false; + + for (int i = 0; i < idealPoint.size(); i++) { + if (idealPoint.get(i) >= candidate.getObjectives().get(i)) { + isVIP = true; + break; + } + } + if (isVIP) { + externalPopulation.add(candidate); + SIZE_OF_EP += 1; + } + } + } + } + + } + + /** + * Step 1: Initialization: initialize everything, includes EP, weights, + * neighborhood and ideal point based on the given @param initialPopulation + * and @param of. + */ + List<PopulationEntry> initialize() { + + /* Step 1.1 initialize EP. Performed in apply() function. */ + + /* + * Step 1.2 Initialize weights, compute the Euclidean distance and generate + * neighborhood. + */ + initializeUniformWeight(); + initializeNeighborhood(); + + /* + * Step 1.3 generate initial population. NOTE: this step is finished beforehand, + * the initial population is passed via @param initialPopulation. + */ + + /* Step 1.4 initialize Z vector, the ideal point. */ + initializeIdealPoint(); + + /* + * Calculate the objective values of initial population based on objective + * functions @param of + */ + + final Stream<PopulationEntry> populationWithObjectiveValues = initialPopulation.stream() + .map((Configuration c) -> { + ObjectiveFunctionResult evaled = null; + try { + evaled = of.evaluate(new ObjectiveFunctionArguments(c, c.getControlledMetrics())).call(); + } catch (Exception e) { + e.printStackTrace(); + } + + return new PopulationEntry(evaled.getConfiguration(), evaled.getObjectiveValues()); + }); + + List<PopulationEntry> populationList = populationWithObjectiveValues.collect(Collectors.toList()); + + /* Update FV, Z and EP values based on the initial population. */ + updateIdealPoint(populationList); + getFitnessAll(populationList); + for (int i = 0; i < populationList.size(); i++) { + updateExternalPopulation(populationList.get(i)); + } + + return populationList; + } + + public abstract void evolve(); + + /** + * The MOEA/D algorithm. + */ + public List<PopulationEntry> apply() { + + if (initialPopulation.size() < 2) + throw new IllegalArgumentException(); + + /* Step 1 Initialization */ + currentPopulation = initialize(); + + assert (fitness.size() > 0 && neighborhood.size() > 0 && idealPoint.size() > 0 && lambda.size() > 0); + + /* A recorder that stores all the evolution process. */ + final List<List<PopulationEntry>> history = new ArrayList<>(); + history.add(currentPopulation); + + /* Step 2 Update */ + while (!isFinished.test(history)) { + int current = history.size(); + // if (current % 10 == 0) + + evolve(); + System.out.println("now " + current + " generations"); +// printResult(); + + history.add(currentPopulation); + } + + // currentPopulation.sort((c1,c2) -> + // c1.getObjectives().get(0).compareTo(c2.getObjectives().get(0)) ); + + return externalPopulation; + } + + private void printResult() { + + externalPopulation.sort((c1, c2) -> c1.getObjectives().get(0).compareTo(c2.getObjectives().get(0))); + for (PopulationEntry entry : externalPopulation) { + String[] results = new String[entry.getObjectives().size()]; + String[] resultsArray = entry.getObjectives().stream().map(d -> d + "").collect(Collectors.toList()) + .toArray(results); + System.out.println(String.join(" ", resultsArray)); + } + } + +} diff --git a/src/main/java/uk/ac/york/aura/MOEAD_RA.java b/src/main/java/uk/ac/york/aura/MOEAD_RA.java new file mode 100755 index 0000000000000000000000000000000000000000..dd83bd1a1c782512f1adc4f3ebeb04bec925791b --- /dev/null +++ b/src/main/java/uk/ac/york/aura/MOEAD_RA.java @@ -0,0 +1,111 @@ +package uk.ac.york.aura; + +import java.util.ArrayList; +import java.util.List; +import java.util.Random; +import java.util.function.BiFunction; +import java.util.function.Function; +import java.util.function.Predicate; + +import uk.ac.york.safire.metrics.Configuration; +import uk.ac.york.safire.metrics.SearchDirection; +import uk.ac.york.safire.optimisation.ObjectiveFunction.LocalObjectiveFunction; +import uk.ac.york.safire.optimisation.ObjectiveFunctionArguments; +import uk.ac.york.safire.optimisation.ObjectiveFunctionResult; + +/** + * This class implements the MOEA/D algorithm proposed by the following article, + * with a novel mutation operation designed specially for the recipe Allocation + * issue for factories. + * + * Li, H. and Zhang, Q. "Multiobjective Optimization problems with Complicated + * Pareto Sets, MOEA/D and NSGA-II." IEEE Transactions on Evolutionary + * Computation, 13(2):284-302, 2009. + */ + +public class MOEAD_RA extends MOEADAbstract { + + /** + * The factor that controls mutation approach. + */ + public static double F = 0.3; + public static double M = 0.8; + + public MOEAD_RA(List<Configuration> initialPopulation, LocalObjectiveFunction of, + BiFunction<Configuration, Configuration, Configuration> crossover, Function<Configuration, Configuration> mutation, + Predicate<List<List<PopulationEntry>>> isFinished, List<Double> objectiveValueRanges, int tournamentSize, + SearchDirection dir, Random rng) { + super(initialPopulation, of, crossover, mutation, isFinished, objectiveValueRanges, tournamentSize, dir, rng); + } + + public void evolve() { + + /* for each individual in the current population */ + for (int i = 0; i < populationSize; i++) { + /* + * Step 2.1 Reproduction. Get two random neighbors of individual i and let them + * crossover and mutate. + */ + int[] neighborIndexes = neighborhood.get(i); + + /* The randomly selection applied in the original MOEA/D algorithm. */ + PopulationEntry corssover1 = currentPopulation.get(neighborIndexes[rng.nextInt(neighborIndexes.length)]); + PopulationEntry corssover2 = currentPopulation.get(neighborIndexes[rng.nextInt(neighborIndexes.length)]); + + List<Configuration> offSpring = new ArrayList<>(); + offSpring + .add(mutation.apply(crossover.apply(corssover1.getConfiguration(), corssover2.getConfiguration()))); + offSpring + .add(mutation.apply(crossover.apply(corssover1.getConfiguration(), corssover2.getConfiguration()))); + + for (Configuration newIndividual : offSpring) { + + ObjectiveFunctionResult evaled = null; + try { + evaled = of + .evaluate( + new ObjectiveFunctionArguments(newIndividual, newIndividual.getControlledMetrics())) + .call(); + } catch (Exception e) { + e.printStackTrace(); + } + PopulationEntry newIndividualEntry = new PopulationEntry(evaled.getConfiguration(), + evaled.getObjectiveValues()); + + /* + * Step 2.2 Repair and Improvement. Apply the problem-specific heuristic to + * improve the new individual. For our application, this should check whether + * the solution is schedulable. + */ + + /* + * Step 2.3 Update of Z. Update the Z vector if the new individual contains + * better values for any subproblems. + */ + updateIdealPoint(newIndividualEntry); + + /* + * Step 2.4 Update of Neighboring Solution. Iterates through all neighbors of + * individual i and replaces the neighbors with the new individual if they have + * a lower fitness. + */ + for (int j = 0; j < neighborhood.get(i).length; j++) { + double neighborFitness = getFitness(currentPopulation.get(neighborIndexes[j]), neighborIndexes[j]); + double newFitness = getFitness(newIndividualEntry, neighborIndexes[j]); + if (newFitness <= neighborFitness) { + currentPopulation.set(neighborIndexes[j], newIndividualEntry); + fitness.set(neighborIndexes[j], newFitness); + } + } + + /* + * Step 2.5 Update of EP. (1) Remove from EP all the individuals dominated by + * the new individual; (2) Add new individual to EP if no individuals in EP + * dominates it. + */ + updateExternalPopulation(newIndividualEntry); + } + + } + } +} diff --git a/src/main/java/uk/ac/york/aura/MOEAD_RS.java b/src/main/java/uk/ac/york/aura/MOEAD_RS.java new file mode 100755 index 0000000000000000000000000000000000000000..ae0142364e1ece684428d257447c28134f8a2147 --- /dev/null +++ b/src/main/java/uk/ac/york/aura/MOEAD_RS.java @@ -0,0 +1,704 @@ +package uk.ac.york.aura; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Map.Entry; +import java.util.Random; +import java.util.function.BiFunction; +import java.util.function.Function; +import java.util.function.Predicate; +import java.util.stream.Collectors; + +import org.apache.commons.lang3.tuple.MutablePair; +import org.apache.commons.lang3.tuple.Pair; + +import uk.ac.york.aura.Operators.PerturbationVisitor; +import uk.ac.york.safire.metrics.Configuration; +import uk.ac.york.safire.metrics.SearchDirection; +import uk.ac.york.safire.metrics.Value; +import uk.ac.york.safire.metrics.Value.Nominal; +import uk.ac.york.safire.metrics.ValueType; +import uk.ac.york.safire.optimisation.ObjectiveFunction.LocalObjectiveFunction; +import uk.ac.york.safire.optimisation.ObjectiveFunctionArguments; +import uk.ac.york.safire.optimisation.ObjectiveFunctionResult; +import uk.ac.york.safire.optimisation.mitm.atb.BusinessCase; +import uk.ac.york.safire.optimisation.mitm.atb.OasProductionLineConfigurationType; +import uk.ac.york.safire.optimisation.mitm.atb.UoYEarlyPrototypeDemo; + +/** + * This class implements the MOEA/D algorithm proposed by the following article, + * with a novel mutation operation designed specially for the recipe Allocation + * issue for factories. + * + * This optimization engine is for OAS and ELE business cases. + * + * Li, H. and Zhang, Q. "Multiobjective Optimization problems with Complicated + * Pareto Sets, MOEA/D and NSGA-II." IEEE Transactions on Evolutionary + * Computation, 13(2):284-302, 2009. + */ + +public class MOEAD_RS extends MOEADAbstract { + + /** + * The factor that controls mutation approach. + */ + public static double F = 0.3; + public static double M = 0.8; + public static boolean enableNewCrossover = true; + public static boolean enableNewMutation = true; + public static boolean enableElitism = true; + public static boolean enableImrpove = false; + + public List<Integer> productIndex = new ArrayList<Integer>(); + + BiFunction<Configuration, Configuration, List<Configuration>> newCrossover; + Function<Configuration, Configuration> newMutation; + + public MOEAD_RS(List<Configuration> initialPopulation, LocalObjectiveFunction of, + BiFunction<Configuration, Configuration, Configuration> crossover, + Function<Configuration, Configuration> mutation, Predicate<List<List<PopulationEntry>>> isFinished, + List<Double> objectiveValueRanges, int tournamentSize, SearchDirection dir, Random rng) { + super(initialPopulation, of, crossover, mutation, isFinished, objectiveValueRanges, tournamentSize, dir, rng); + + newMutation = allocationSwtichMutator(rng); + newCrossover = productSwitchCrossover(rng); + + Configuration config = initialPopulation.get(0); + final Map<String, Value> controls = config.getControlledMetrics(); + final List<MutablePair<String, Value>> controlsList = controls.entrySet().stream() + .map(e -> MutablePair.of(e.getKey(), e.getValue())).collect(Collectors.toList()); + controlsList.sort((p1, p2) -> p1.getKey().compareTo(p2.getKey())); + + String[] key = controlsList.get(0).getKey().split(" "); + String productName = key[0] + " " + key[1]; + + for (int i = 1; i < controlsList.size(); i++) { + if (controlsList.get(i).getKey().contains(productName)) { + continue; + } else { + key = controlsList.get(i).getKey().split(" "); + productName = key[0] + " " + key[1]; + productIndex.add(i); + } + } + + System.out.println(productIndex.toString()); + } + + /** + * A novel mutation approach designed for the recipe allocation problem for + * smart factories. + */ + public Function<Configuration, Configuration> allocationSwtichMutator(Random rng) { + if (MOEAD_RS.M < 0.0 || MOEAD_RS.M > 1.0) + throw new IllegalArgumentException(); + + return (c) -> { + final Map<String, Value> controls = c.getControlledMetrics(); + final List<MutablePair<String, Value>> controlsList = controls.entrySet().stream() + .map(e -> MutablePair.of(e.getKey(), e.getValue())).collect(Collectors.toList()); + + controlsList.sort((p1, p2) -> p1.getKey().compareTo(p2.getKey())); + + for (int i = 0; i < controlsList.size(); ++i) { + + if (rng.nextDouble() < MOEAD_RS.M) { + MutablePair<String, Value> p = controlsList.get(i); + + if (p.getKey().contains("allocation")) { + String newAllocation = ""; + Nominal allocValue = (Nominal) p.getValue(); + String currentAllocation = allocValue.getValue(); + ValueType.Nominal allocType = (ValueType.Nominal) allocValue.getType(); +// System.out.println(allocType.numValues()); + if(allocType.numValues() > 1) { + List<String> vaildAllocations = new ArrayList<String>(); + + for (int j = 0; j < allocType.numValues(); j++) { + if (!allocType.getValue(j).contains("No")) + vaildAllocations.add(allocType.getValue(j)); + } + + if (rng.nextDouble() < F) { + if (currentAllocation.contains("No")) + newAllocation = vaildAllocations.get(rng.nextInt(vaildAllocations.size())); + else + newAllocation = allocType.getValue(allocType.numValues() - 1); + } else { + if (!currentAllocation.contains("No")) { + int currentIndex = vaildAllocations.indexOf(currentAllocation); + int newIndex = rng.nextInt(vaildAllocations.size()); + while (vaildAllocations.size() > 1 && newIndex == currentIndex) { + newIndex = rng.nextInt(vaildAllocations.size()); + } + newAllocation = vaildAllocations.get(newIndex); + } else + newAllocation = allocType.getValue(allocType.numValues() - 1); + } + + assert (newAllocation.length() > 0); + Value newAllocValue = new Nominal(newAllocation, allocType); + p.setValue(newAllocValue); + } + + + + + } else { +// System.out.println(p.getValue()); + p.setValue(new PerturbationVisitor(rng).visit(p.getValue())); +// System.out.println(p.getValue()); + } + + } + } + + Map<String, Value> proposedControls = controlsList.stream() + .collect(Collectors.toMap(Pair::getKey, Pair::getValue)); + + return new Configuration(c.getConfigurationType(), proposedControls, c.getObservableMetrics(), + c.getKeyObjectives()); + }; + } + + public BiFunction<Configuration, Configuration, List<Configuration>> productSwitchCrossover(Random rng) { + return (c1, c2) -> { + + List<Configuration> newIndividuals = new ArrayList<Configuration>(); + + List<Map.Entry<String, Value>> linear1 = c1.getControlledMetrics().entrySet().stream() + .collect(Collectors.toList()); + List<Map.Entry<String, Value>> linear2 = c2.getControlledMetrics().entrySet().stream() + .collect(Collectors.toList()); + assert (linear1.size() == linear2.size()); + + linear1.sort((p1, p2) -> p1.getKey().compareTo(p2.getKey())); + linear2.sort((p1, p2) -> p1.getKey().compareTo(p2.getKey())); + + int index = -1; + List<Map.Entry<String, Value>> crossed = new ArrayList<Map.Entry<String, Value>>(); + Map<String, Value> crossedControlledMetrics = null; + + /** The normal crossover operator. */ + index = rng.nextInt(linear1.size()); + crossed = linear1.subList(0, index); + crossed.addAll(linear2.subList(index, linear2.size())); + crossedControlledMetrics = crossed.stream().collect(Collectors.toMap(e -> e.getKey(), e -> e.getValue())); + newIndividuals.add(new Configuration(c1.getConfigurationType(), crossedControlledMetrics, + c1.getObservableMetrics(), c1.getKeyObjectives())); + + /** The new crossover method */ + index = productIndex.get(rng.nextInt(productIndex.size())); + crossed = linear1.subList(0, index); + crossed.addAll(linear2.subList(index, linear2.size())); + crossedControlledMetrics = crossed.stream().collect(Collectors.toMap(e -> e.getKey(), e -> e.getValue())); + newIndividuals.add(new Configuration(c1.getConfigurationType(), crossedControlledMetrics, + c1.getObservableMetrics(), c1.getKeyObjectives())); + + return newIndividuals; + }; + } + + public PopulationEntry improve(Configuration individual) { + List<Configuration> newIndividuals = new ArrayList<Configuration>(); + newIndividuals.add(individual); + + final Map<String, Value> controls = individual.getControlledMetrics(); + final List<MutablePair<String, Value>> controlsList = controls.entrySet().stream() + .map(e -> MutablePair.of(e.getKey(), e.getValue())).collect(Collectors.toList()); + + controlsList.sort((p1, p2) -> p1.getKey().compareTo(p2.getKey())); + List<MutablePair<String, Value>> priorities = new ArrayList<MutablePair<String, Value>>(); + + List<List<MutablePair<String, Value>>> SWallocated = new ArrayList<List<MutablePair<String, Value>>>(); + List<List<MutablePair<String, Value>>> SWunAllocated = new ArrayList<List<MutablePair<String, Value>>>(); + + List<List<MutablePair<String, Value>>> WMallocated = new ArrayList<List<MutablePair<String, Value>>>(); + List<List<MutablePair<String, Value>>> WMunAllocated = new ArrayList<List<MutablePair<String, Value>>>(); + + List<List<MutablePair<String, Value>>> SGallocated = new ArrayList<List<MutablePair<String, Value>>>(); + List<List<MutablePair<String, Value>>> SGunAllocated = new ArrayList<List<MutablePair<String, Value>>>(); + + List<List<MutablePair<String, Value>>> WBallocated = new ArrayList<List<MutablePair<String, Value>>>(); + List<List<MutablePair<String, Value>>> WBunAllocated = new ArrayList<List<MutablePair<String, Value>>>(); + + for (int i = 0; i < 4; i++) { + SWallocated.add(new ArrayList<MutablePair<String, Value>>()); + SWunAllocated.add(new ArrayList<MutablePair<String, Value>>()); + + WMallocated.add(new ArrayList<MutablePair<String, Value>>()); + WMunAllocated.add(new ArrayList<MutablePair<String, Value>>()); + + SGallocated.add(new ArrayList<MutablePair<String, Value>>()); + SGunAllocated.add(new ArrayList<MutablePair<String, Value>>()); + + WBallocated.add(new ArrayList<MutablePair<String, Value>>()); + WBunAllocated.add(new ArrayList<MutablePair<String, Value>>()); + } + + for (int i = 0; i < controlsList.size(); ++i) { + MutablePair<String, Value> p = controlsList.get(i); + if (p.getKey().contains("allocation")) { + + Nominal allocValue = (Nominal) p.getValue(); + if (p.getKey().contains("Std Weiss A")) { + if (!allocValue.value.contains("No")) + SWallocated.get(0).add(p); + else + SWunAllocated.get(0).add(p); + } + if (p.getKey().contains("Std Weiss B")) { + if (!allocValue.value.contains("No")) + SWallocated.get(1).add(p); + else + SWunAllocated.get(1).add(p); + } + if (p.getKey().contains("Std Weiss C")) { + if (!allocValue.value.contains("No")) + SWallocated.get(2).add(p); + else + SWunAllocated.get(2).add(p); + } + if (p.getKey().contains("Std Weiss D")) { + if (!allocValue.value.contains("No")) + SWallocated.get(3).add(p); + else + SWunAllocated.get(3).add(p); + } + + if (p.getKey().contains("Weiss Matt A")) { + if (!allocValue.value.contains("No")) + WMallocated.get(0).add(p); + else + WMunAllocated.get(0).add(p); + } + if (p.getKey().contains("Weiss Matt B")) { + if (!allocValue.value.contains("No")) + WMallocated.get(1).add(p); + else + WMunAllocated.get(1).add(p); + } + if (p.getKey().contains("Weiss Matt C")) { + if (!allocValue.value.contains("No")) + WMallocated.get(2).add(p); + else + WMunAllocated.get(2).add(p); + } + if (p.getKey().contains("Weiss Matt D")) { + if (!allocValue.value.contains("No")) + WMallocated.get(3).add(p); + else + WMunAllocated.get(3).add(p); + } + + if (p.getKey().contains("Super Glanz A")) { + if (!allocValue.value.contains("No")) + SGallocated.get(0).add(p); + else + SGunAllocated.get(0).add(p); + } + if (p.getKey().contains("Super Glanz B")) { + if (!allocValue.value.contains("No")) + SGallocated.get(1).add(p); + else + SGunAllocated.get(1).add(p); + } + if (p.getKey().contains("Super Glanz C")) { + if (!allocValue.value.contains("No")) + SGallocated.get(2).add(p); + else + SGunAllocated.get(2).add(p); + } + if (p.getKey().contains("Super Glanz D")) { + if (!allocValue.value.contains("No")) + SGallocated.get(3).add(p); + else + SGunAllocated.get(3).add(p); + } + + if (p.getKey().contains("Weiss Basis A")) { + if (!allocValue.value.contains("No")) + WBallocated.get(0).add(p); + else + WBunAllocated.get(0).add(p); + } + if (p.getKey().contains("Weiss Basis B")) { + if (!allocValue.value.contains("No")) + WBallocated.get(1).add(p); + else + WBunAllocated.get(1).add(p); + } + if (p.getKey().contains("Weiss Basis C")) { + if (!allocValue.value.contains("No")) + WBallocated.get(2).add(p); + else + WBunAllocated.get(2).add(p); + } + if (p.getKey().contains("Weiss Basis D")) { + if (!allocValue.value.contains("No")) + WBallocated.get(3).add(p); + else + WBunAllocated.get(3).add(p); + } + + } else { + priorities.add(p); + } + } + + int totalsize = 0; + for (int i = 0; i < 4; i++) { + totalsize += SWallocated.get(i).size(); + totalsize += SWunAllocated.get(i).size(); + + totalsize += WMallocated.get(i).size(); + totalsize += WMunAllocated.get(i).size(); + + totalsize += SGallocated.get(i).size(); + totalsize += SGunAllocated.get(i).size(); + + totalsize += WBallocated.get(i).size(); + totalsize += WBunAllocated.get(i).size(); + } + assert (totalsize == priorities.size()); + + improveForOneProduct(individual, controlsList, SWallocated, SWunAllocated, newIndividuals); + improveForOneProduct(individual, controlsList, WMallocated, WMunAllocated, newIndividuals); + improveForOneProduct(individual, controlsList, SGallocated, SGunAllocated, newIndividuals); + improveForOneProduct(individual, controlsList, WBallocated, WBunAllocated, newIndividuals); + + List<PopulationEntry> newIndividualEntrys = new ArrayList<PopulationEntry>(); + for (Configuration c : newIndividuals) { + ObjectiveFunctionResult evaled = null; + try { + evaled = of.evaluate(new ObjectiveFunctionArguments(c, c.getControlledMetrics())).call(); + } catch (Exception e) { + e.printStackTrace(); + } + PopulationEntry newIndividualEntry = new PopulationEntry(evaled.getConfiguration(), + evaled.getObjectiveValues()); + newIndividualEntrys.add(newIndividualEntry); + } + + List<Double> paints = new ArrayList<Double>(); + for (PopulationEntry entry : newIndividualEntrys) { + double sum = entry.getObjectives().get(1) + entry.getObjectives().get(2) + entry.getObjectives().get(3) + + entry.getObjectives().get(4); + paints.add(sum); + } + + for (int i = 0; i < paints.size() - 1; i++) { + if (Double.compare(paints.get(i), paints.get(i + 1)) != 0) { + System.err.println("Improvement Mehtod ERROR with different amount of paints produced! : index: " + i + + " and " + (i + 1) + " paints: " + paints.get(i) + " and: " + paints.get(i + 1)); + System.out.println(paints.toString()); + for (PopulationEntry entry : newIndividualEntrys) + System.out.println(entry.getObjectives().toString()); + System.exit(-1); + } + } + + // double makespanorigin = newIndividualEntrys.get(0).getObjectives().get(0); + Collections.sort(newIndividualEntrys, + (i1, i2) -> i1.getObjectives().get(0).compareTo(i2.getObjectives().get(0))); + // double makespannew = newIndividualEntrys.get(0).getObjectives().get(0); + // System.out.println( + // "Improve method returns: original makespan: " + makespanorigin + " new make + // span: " + makespannew); + return newIndividualEntrys.get(0); + } + + private void improveForOneProduct(Configuration individual, List<MutablePair<String, Value>> controlsList, + List<List<MutablePair<String, Value>>> allocated, List<List<MutablePair<String, Value>>> unAllocated, + List<Configuration> newIndividuals) { + + for (int recipeType = 0; recipeType < 4; recipeType++) { + /** Check whether the current recipe type is suitable for improvement. */ + if (recipeType == 0 ? allocated.get(recipeType).size() > 1 : allocated.get(recipeType).size() > 0) { + + ValueType.Nominal allocType = (ValueType.Nominal) allocated.get(recipeType).get(0).getValue().getType(); + + for (int recipeNo = 0; recipeNo < 4; recipeNo++) { + if (recipeType == recipeNo) + continue; + + List<MutablePair<String, Value>> newGenes = new ArrayList<MutablePair<String, Value>>(); + + if (recipeNo == 0 ? unAllocated.get(recipeNo).size() > 1 : unAllocated.get(recipeNo).size() > 0) { + if (recipeType == 0) { + MutablePair<String, Value> a0 = new MutablePair<String, Value>( + allocated.get(recipeType).get(0).left, new Nominal("No allocation", allocType)); + MutablePair<String, Value> a1 = new MutablePair<String, Value>( + allocated.get(recipeType).get(1).left, new Nominal("No allocation", allocType)); + newGenes.add(a0); + newGenes.add(a1); + } else { + MutablePair<String, Value> a0 = new MutablePair<String, Value>( + allocated.get(recipeType).get(0).left, new Nominal("No allocation", allocType)); + newGenes.add(a0); + } + + ValueType.Nominal unallocType = (ValueType.Nominal) unAllocated.get(recipeNo).get(0).getValue() + .getType(); + if (recipeNo == 0) { + MutablePair<String, Value> ua0 = new MutablePair<String, Value>( + unAllocated.get(recipeNo).get(0).left, + new Nominal(unallocType.getValue(rng.nextInt(unallocType.numValues() - 1)), + unallocType)); + MutablePair<String, Value> ua1 = new MutablePair<String, Value>( + unAllocated.get(recipeNo).get(1).left, + new Nominal(unallocType.getValue(rng.nextInt(unallocType.numValues() - 1)), + unallocType)); + newGenes.add(ua0); + newGenes.add(ua1); + } else { + MutablePair<String, Value> ua0 = new MutablePair<String, Value>( + unAllocated.get(recipeNo).get(0).left, + new Nominal(unallocType.getValue(rng.nextInt(unallocType.numValues() - 1)), + unallocType)); + newGenes.add(ua0); + } + } + + List<MutablePair<String, Value>> newControls = new ArrayList<MutablePair<String, Value>>( + controlsList); + int counter = 0; + for (MutablePair<String, Value> gene : newGenes) { + for (int i = 0; i < newControls.size(); i++) { + if (newControls.get(i).getKey().equals(gene.getKey())) { + newControls.set(i, gene); + counter++; + break; + } + } + } + + assert (counter == newGenes.size()); + Map<String, Value> proposedControls = newControls.stream() + .collect(Collectors.toMap(Pair::getKey, Pair::getValue)); + + Configuration newConfig = new Configuration(individual.getConfigurationType(), proposedControls, + individual.getObservableMetrics(), individual.getKeyObjectives()); + newIndividuals.add(newConfig); + } + + } + + } + } + + public Function<List<PopulationEntry>, Configuration> productSwitchCrossover() { + return (c) -> { + + for(int i=0;i<c.size();i++) { + System.out.println(c.get(i).getObjectives()); + } + + if (c.size() == 1) + return c.get(0).getConfiguration(); + + List<String> commidiesOrder = null; + + if (UoYEarlyPrototypeDemo.globalBCRef.equals(BusinessCase.Electrolux)) { + commidiesOrder = new ArrayList<>(); + commidiesOrder.add("Potato"); + commidiesOrder.add("Mushroom"); + commidiesOrder.add("Pasta"); + commidiesOrder.add("Boiled Water"); + commidiesOrder.add("Beef"); + commidiesOrder.add("Rice"); + + assert (commidiesOrder.size() == c.size()); + + Map<String, Map<String, Value>> productMapping = new HashMap<>(); + for (int i = 0; i < c.size(); i++) { + productMapping.put(commidiesOrder.get(i), c.get(i).getConfiguration().getControlledMetrics()); + } + + List<Map.Entry<String, Value>> crossed = new ArrayList<>(); + for (Entry<String, Map<String, Value>> entry : productMapping.entrySet()) { + String key = entry.getKey(); + List<Entry<String, Value>> controlConfig = entry.getValue().entrySet().stream() + .collect(Collectors.toList()); + + List<Entry<String, Value>> controlConfigOneProduct = controlConfig.stream() + .filter(config -> config.getKey().contains(key)).collect(Collectors.toList()); + crossed.addAll(controlConfigOneProduct); + + + } + Map<String, Value> crossedControlledMetrics = crossed.stream() + .collect(Collectors.toMap(e -> e.getKey(), e -> e.getValue())); + Configuration newConfig = new Configuration(c.get(0).getConfiguration().getConfigurationType(), + crossedControlledMetrics, c.get(0).getConfiguration().getObservableMetrics(), + c.get(0).getConfiguration().getKeyObjectives()); + return newConfig; + } + else { + commidiesOrder = OasProductionLineConfigurationType.getProducts(); + + assert (commidiesOrder.size() == c.size()); + + Map<String, Map<String, Value>> productMapping = new HashMap<>(); + for (int i = 0; i < c.size(); i++) { + productMapping.put(commidiesOrder.get(i), c.get(i).getConfiguration().getControlledMetrics()); + } + + List<Map.Entry<String, Value>> crossed = new ArrayList<>(); + for (Entry<String, Map<String, Value>> entry : productMapping.entrySet()) { + String key = entry.getKey(); + List<Entry<String, Value>> controlConfig = entry.getValue().entrySet().stream() + .collect(Collectors.toList()); + + List<Entry<String, Value>> controlConfigOneProduct = controlConfig.stream() + .filter(config -> config.getKey().contains(key)).collect(Collectors.toList()); + crossed.addAll(controlConfigOneProduct); + } + + Map<String, Value> crossedControlledMetrics = crossed.stream() + .collect(Collectors.toMap(e -> e.getKey(), e -> e.getValue())); + Configuration newConfig = new Configuration(c.get(0).getConfiguration().getConfigurationType(), + crossedControlledMetrics, c.get(0).getConfiguration().getObservableMetrics(), + c.get(0).getConfiguration().getKeyObjectives()); + + return newConfig; + } + + + + }; + } + + public void evolve() { + + /* for each individual in the current population */ + for (int i = 0; i < populationSize; i++) { + /* + * Step 2.1 Reproduction. Get two random neighbors of individual i and let them + * crossover and mutate. + */ + int[] neighborIndexes = neighborhood.get(i); + + /* The randomly selection applied in the original MOEA/D algorithm. */ + PopulationEntry corssover1 = currentPopulation.get(neighborIndexes[rng.nextInt(neighborIndexes.length)]); + PopulationEntry corssover2 = currentPopulation.get(neighborIndexes[rng.nextInt(neighborIndexes.length)]); + + List<Configuration> crossoverResults = new ArrayList<Configuration>(); + if (enableNewCrossover) { + crossoverResults + .addAll(newCrossover.apply(corssover1.getConfiguration(), corssover2.getConfiguration())); + } else { + crossoverResults.add(crossover.apply(corssover1.getConfiguration(), corssover2.getConfiguration())); + crossoverResults.add(crossover.apply(corssover1.getConfiguration(), corssover2.getConfiguration())); + } + + List<Configuration> offSpring = new ArrayList<Configuration>(); + + for (int j = 0; j < crossoverResults.size(); j++) { + if (enableNewMutation) + offSpring.add(newMutation.apply(crossoverResults.get(j))); + else + offSpring.add(mutation.apply(crossoverResults.get(j))); + } + + for (Configuration newIndividual : offSpring) { + /* + * Step 2.2 Repair and Improvement. Apply the problem-specific heuristic to + * improve the new individual. For our application, this should check whether + * the solution is schedulable. + */ + PopulationEntry newIndividualEntry = null; + + if (enableImrpove && i % 25 == 0) { + newIndividualEntry = improve(newIndividual); + } else { + ObjectiveFunctionResult evaled = null; + try { + evaled = of.evaluate( + new ObjectiveFunctionArguments(newIndividual, newIndividual.getControlledMetrics())) + .call(); + } catch (Exception e) { + e.printStackTrace(); + } + newIndividualEntry = new PopulationEntry(evaled.getConfiguration(), evaled.getObjectiveValues()); + } + /* + * Step 2.3 Update of Z. Update the Z vector if the new individual contains + * better values for any subproblems. + */ + updateIdealPoint(newIndividualEntry); + + /* + * Step 2.4 Update of Neighboring Solution. Iterates through all neighbors of + * individual i and replaces the neighbors with the new individual if they have + * a lower fitness. + */ + for (int j = 0; j < neighborhood.get(i).length; j++) { + double neighborFitness = getFitness(currentPopulation.get(neighborIndexes[j]), neighborIndexes[j]); + double newFitness = getFitness(newIndividualEntry, neighborIndexes[j]); + if (newFitness <= neighborFitness) { + currentPopulation.set(neighborIndexes[j], newIndividualEntry); + fitness.set(neighborIndexes[j], newFitness); + + } + } + + /* + * Step 2.5 Update of EP. (1) Remove from EP all the individuals dominated by + * the new individual; (2) Add new individual to EP if no individuals in EP + * dominates it. + */ + updateExternalPopulation(newIndividualEntry); + } + + } + + printResult(); + + if (enableElitism && bestSolutions.size() > 1) { + Configuration best = productSwitchCrossover().apply(bestSolutions); + PopulationEntry newIndividualEntry = null; + if (enableImrpove) + newIndividualEntry = improve(best); + else { + ObjectiveFunctionResult evaled = null; + try { + evaled = of.evaluate(new ObjectiveFunctionArguments(best, best.getControlledMetrics())).call(); + } catch (Exception e) { + e.printStackTrace(); + } + newIndividualEntry = new PopulationEntry(evaled.getConfiguration(), evaled.getObjectiveValues()); + System.out.println("new monster: " + newIndividualEntry.getObjectives()); + } + + boolean isInserted = false; + for (int i = 0; i < currentPopulation.size(); i++) { + PopulationEntry individual = currentPopulation.get(i); + if (dominate(newIndividualEntry, individual)) { + if (!isInserted) { + currentPopulation.set(i, newIndividualEntry); + isInserted = true; + } + updateIdealPoint(newIndividualEntry); + updateExternalPopulation(newIndividualEntry); + break; + } + } + } + + } + + private void printResult() { + + externalPopulation.sort((c1, c2) -> c1.getObjectives().get(0).compareTo(c2.getObjectives().get(0))); + for (PopulationEntry entry : externalPopulation) { + String[] results = new String[entry.getObjectives().size()]; + String[] resultsArray = entry.getObjectives().stream().map(d -> d + "").collect(Collectors.toList()) + .toArray(results); + System.out.println(String.join(" ", resultsArray)); + } + } +} diff --git a/src/main/java/uk/ac/york/aura/NSGA2.java b/src/main/java/uk/ac/york/aura/NSGA2.java old mode 100644 new mode 100755 index 5fb486b83262bdfcfa793622e5e81e2020a637ba..42851721044d98898f5a45ccf55e098df33c2f8d --- a/src/main/java/uk/ac/york/aura/NSGA2.java +++ b/src/main/java/uk/ac/york/aura/NSGA2.java @@ -1,12 +1,8 @@ package uk.ac.york.aura; import java.util.ArrayList; -import java.util.Collections; import java.util.Comparator; -import java.util.HashMap; import java.util.List; -import java.util.Map; -import java.util.Optional; import java.util.Random; import java.util.concurrent.Callable; import java.util.concurrent.ExecutionException; @@ -21,15 +17,13 @@ import java.util.stream.IntStream; import java.util.stream.Stream; import org.apache.commons.lang3.tuple.MutablePair; -import org.apache.commons.math3.stat.StatUtils; -import org.apache.commons.math3.util.Pair; - -import com.google.common.collect.Lists; -import com.google.common.primitives.Doubles; import jeep.lang.Logic; -import uk.ac.york.safire.metrics.*; -import uk.ac.york.safire.optimisation.*; +import uk.ac.york.safire.metrics.Configuration; +import uk.ac.york.safire.metrics.SearchDirection; +import uk.ac.york.safire.optimisation.ObjectiveFunction; +import uk.ac.york.safire.optimisation.ObjectiveFunctionArguments; +import uk.ac.york.safire.optimisation.ObjectiveFunctionResult; /////////////////////////////////// @@ -46,7 +40,7 @@ public final class NSGA2 { */ static boolean paretoDominates(List< Double > o1, List< Double > o2, SearchDirection dir) { if( o1.size() != o2.size() ) - throw new IllegalArgumentException(); + throw new IllegalArgumentException("Unequal sizes: " + o1.size() + " and " + o2.size() ); boolean result = false; for( int i=0; i<o1.size(); ++i ) { @@ -155,9 +149,10 @@ public final class NSGA2 { static List< PopulationEntry > paretoFront(List< PopulationEntry > G, SearchDirection dir) { + List< PopulationEntry > F = new ArrayList<>(); for( int i=0; i<G.size(); ++i ) { - + final PopulationEntry G_i = G.get(i); F = F.stream().filter( F_j -> !paretoDominates(G_i.getObjectives(), F_j.getObjectives(), dir) ).collect(Collectors.toList()); if( !F.stream().anyMatch( F_j -> @@ -177,7 +172,7 @@ public final class NSGA2 { * Algorithm 101 from "Essentials of Metaheuristics", 2nd Edition, p137. */ - private static List< List< PopulationEntry > > + static List< List< PopulationEntry > > paretoFrontRanks( List< PopulationEntry > P, SearchDirection dir) { List< PopulationEntry > Pdash = new ArrayList<>(); @@ -195,7 +190,7 @@ public final class NSGA2 { /////////////////////////////// - private static final class PopulationEntryRankAndSparsity { + static final class PopulationEntryRankAndSparsity { final PopulationEntry populationEntry ; final int rank; final double sparsity; @@ -215,7 +210,7 @@ public final class NSGA2 { * Algorithm 102 from "Essentials of Metaheuristics", 2nd Edition, p137. */ - private static List< PopulationEntryRankAndSparsity > + static List< PopulationEntryRankAndSparsity > multiobjectiveSparsityAssignment( List< PopulationEntry > F, int rank, List< Double > objectiveValueRange, SearchDirection dir) { @@ -403,6 +398,10 @@ public final class NSGA2 { history.add( currentPopulation ); int iter = 0; while( !isFinished.test( history ) ) { + + int current = history.size(); + if (current % 10 == 0) + System.out.println("now " + current + " generations"); currentPopulation.addAll( archive.stream().map(p -> p.populationEntry).collect(Collectors.toList()) ); @@ -449,11 +448,11 @@ public final class NSGA2 { ++iter; } -jeep.lang.Diag.println( "best front size: " + bestFrontSize ); +//jeep.lang.Diag.println( "best front size: " + bestFrontSize ); // return bestFront.stream().collect(Collectors.toSet()).stream().collect(Collectors.toList()); - assert( isParetoFrontOf(bestFront.stream().map( x -> x.getObjectives() ).collect(Collectors.toList()), - currentPopulation.stream().map( x -> x.getObjectives() ).collect(Collectors.toList()) , dir)); + //assert( isParetoFrontOf(bestFront.stream().map( x -> x.getObjectives() ).collect(Collectors.toList()), + // currentPopulation.stream().map( x -> x.getObjectives() ).collect(Collectors.toList()) , dir)); return bestFront; } diff --git a/src/main/java/uk/ac/york/aura/Operators.java b/src/main/java/uk/ac/york/aura/Operators.java old mode 100644 new mode 100755 index 415e659942129319f8e74edaff9164c4ea1720d5..3e6dea04dc2ef2b4c9c39fe942c35ae389fc2e1e --- a/src/main/java/uk/ac/york/aura/Operators.java +++ b/src/main/java/uk/ac/york/aura/Operators.java @@ -2,8 +2,6 @@ package uk.ac.york.aura; import java.math.BigInteger; import java.util.ArrayList; -import java.util.BitSet; -import java.util.Collections; import java.util.Comparator; import java.util.List; import java.util.Map; @@ -18,7 +16,6 @@ import org.apache.commons.lang3.tuple.Pair; import jeep.math.ClosedInterval; import jeep.math.LinearInterpolation; -import jeep.util.BitVector; import uk.ac.york.safire.metrics.Configuration; import uk.ac.york.safire.metrics.ConfigurationType; import uk.ac.york.safire.metrics.SearchDirection; @@ -75,27 +72,54 @@ public class Operators { /////////////////////////////// public static BiFunction< List< PopulationEntry >, Random, PopulationEntry > proportionalSelection = (pop,rnd) -> { - if( pop.isEmpty() ) - throw new IllegalArgumentException(); - if( pop.get(0).getObjectives().size() != 1 ) + if( pop.isEmpty() ) { throw new IllegalArgumentException(); + } + if( pop.get(0).getObjectives().size() != 1 ) { + throw new IllegalArgumentException(); + } + final int index = ProportionalSelectionUtil.select( pop, (pe) -> pe.getObjectives().get(0), rnd ); return pop.get( index ); }; + + public static BiFunction< List< PopulationEntry >, Random, PopulationEntry > proportionalSelectionFirstObjective = (pop,rnd) -> { + if( pop.isEmpty() ) { + throw new IllegalArgumentException(); + } + + + final int index = ProportionalSelectionUtil.select( pop, (pe) -> pe.getObjectives().get(0), rnd ); + return pop.get( index ); + }; + + + public static BiFunction< Configuration, Configuration, Configuration > onePointCrossover(Random rng) { return (c1,c2) -> { //if( !( c1.getConfigurationType().equals( c2.getConfigurationType() ) ) ) // throw new IllegalArgumentException(); - final List< Map.Entry< String, Value > > linear1 = c1.getControlledMetrics().entrySet().stream().collect(Collectors.toList()); - final List< Map.Entry< String, Value > > linear2 = c2.getControlledMetrics().entrySet().stream().collect(Collectors.toList()); + List< Map.Entry< String, Value > > linear1 = c1.getControlledMetrics().entrySet().stream().collect(Collectors.toList()); + List< Map.Entry< String, Value > > linear2 = c2.getControlledMetrics().entrySet().stream().collect(Collectors.toList()); assert( linear1.size() == linear2.size() ); + + linear1.sort((p1, p2) -> p1.getKey().compareTo(p2.getKey())); + linear2.sort((p1, p2) -> p1.getKey().compareTo(p2.getKey())); + + final int index = rng.nextInt(linear1.size()); + final List< Map.Entry< String, Value > > crossed = linear1.subList(0, index); crossed.addAll( linear2.subList( index, linear2.size() ) ); - final Map< String, Value > crossedControlledMetrics = crossed.stream().collect(Collectors.toMap( e -> e.getKey(), e -> e.getValue() )); + + + + + final Map< String, Value > crossedControlledMetrics = + crossed.stream().collect(Collectors.toMap( e -> e.getKey(), e -> e.getValue() )); return new Configuration( c1.getConfigurationType(), crossedControlledMetrics, c1.getObservableMetrics(),c1.getKeyObjectives() ); }; } diff --git a/src/main/java/uk/ac/york/aura/PopulationEntry.java b/src/main/java/uk/ac/york/aura/PopulationEntry.java old mode 100644 new mode 100755 index 80c2c7c97c4e6ea37b36e0aace015215ba3fb6ca..d23f7883f1a35cfd6b9980abd76b449bedcbb053 --- a/src/main/java/uk/ac/york/aura/PopulationEntry.java +++ b/src/main/java/uk/ac/york/aura/PopulationEntry.java @@ -21,6 +21,7 @@ public final class PopulationEntry { this.objectives = Collections.unmodifiableList(objectives); } + /////////////////////////////// public Configuration getConfiguration() { return configuration; } diff --git a/src/main/java/uk/ac/york/aura/ProportionalSelectionUtil.java b/src/main/java/uk/ac/york/aura/ProportionalSelectionUtil.java old mode 100644 new mode 100755 index 7d25f0a9504f16396b9a36322a86300c91d75569..b5e7080d12be30b50efbbc705fef96e96d2c413e --- a/src/main/java/uk/ac/york/aura/ProportionalSelectionUtil.java +++ b/src/main/java/uk/ac/york/aura/ProportionalSelectionUtil.java @@ -4,7 +4,6 @@ import java.util.ArrayList; import java.util.Arrays; import java.util.List; import java.util.Random; -import java.util.function.Function; import java.util.function.ToDoubleFunction; ////////////////////////////////////////////////////////////////////// diff --git a/src/main/java/uk/ac/york/aura/RankSelectionUtil.java b/src/main/java/uk/ac/york/aura/RankSelectionUtil.java old mode 100644 new mode 100755 index fa6922d89c2af07e1d8e4043dfb39b99d9061458..9d73d0620cf04bd99f542dee095f6e82a1294e0a --- a/src/main/java/uk/ac/york/aura/RankSelectionUtil.java +++ b/src/main/java/uk/ac/york/aura/RankSelectionUtil.java @@ -1,7 +1,6 @@ package uk.ac.york.aura; import java.util.ArrayList; -import java.util.Arrays; import java.util.Collections; import java.util.Comparator; import java.util.List; diff --git a/src/main/java/uk/ac/york/aura/TournamentSelectionUtil.java b/src/main/java/uk/ac/york/aura/TournamentSelectionUtil.java old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/CookingResource.java b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/CookingResource.java new file mode 100644 index 0000000000000000000000000000000000000000..78956456ef28daaa9945b2783876c07d91ecda16 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/CookingResource.java @@ -0,0 +1,70 @@ +package uk.ac.york.safire.factoryModel.Electrolux; + +import java.util.ArrayList; +import java.util.List; + +public class CookingResource { + + int id; + String name; + + List<Integer> deviceIDs; + + List<String> deviceNames; + + List<Device> devices; + + public CookingResource(int id, List<Device> productionLine) { + this.id = id; + this.name = "CookingResource" + " " + this.id; + this.devices = productionLine; + + this.deviceIDs = new ArrayList<Integer>(); + this.deviceNames = new ArrayList<String>(); + + for (Device device : productionLine) { + deviceIDs.add(device.getId()); + deviceNames.add(device.getName()); + } + + } + + public String getName() { + return this.name; + } + + public int getId() { + return id; + } + + public List<Integer> getDeviceIDs() { + return deviceIDs; + } + + public List<String> getDeviceNames() { + return deviceNames; + } + + public List<Device> getDevices() { + return devices; + } + + @Override + public String toString() { + return name + " " + deviceNames.toString(); + + } + + public String resourceName() { + String name = ""; + + for (int i = 0; i < devices.size() - 1; i++) { + name += devices.get(i).getType().toString() + "(" + devices.get(i).getId() + ") "; + } + + name += devices.get(devices.size() - 1).getType().toString() + "(" + devices.get(devices.size() - 1).getId() + ")"; + + return name; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/CookingZone.java b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/CookingZone.java new file mode 100644 index 0000000000000000000000000000000000000000..3b4d0650d29d9e1f3239ca0e19751f28795cc6e0 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/CookingZone.java @@ -0,0 +1,23 @@ +package uk.ac.york.safire.factoryModel.Electrolux; + +import uk.ac.york.safire.factoryModel.Electrolux.ElectroluxFactoryModel.DeviceType; + +public class CookingZone extends Device{ + + int energyLevel; + + public CookingZone(int id, DeviceType type, int availability, String notavailbaileTime, int level) { + super(id, type, availability, notavailbaileTime); + this.energyLevel = level; + } + + + public int getEnergyLevel() { + return energyLevel; + } + + public void setEnergyLevel(int energyLevel) { + this.energyLevel = energyLevel; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/DependentSetupPattern.java b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/DependentSetupPattern.java new file mode 100644 index 0000000000000000000000000000000000000000..ef55e144240ff8e76caa42d72bdc88e5d42e8abb --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/DependentSetupPattern.java @@ -0,0 +1,76 @@ +package uk.ac.york.safire.factoryModel.Electrolux; + +import java.util.Arrays; +import java.util.List; + +import uk.ac.york.safire.factoryModel.Electrolux.ElectroluxFactoryModel.DeviceType; + +public class DependentSetupPattern { + + int processingTime = 0; + int energyConsumption = 0; + int monetaryCost = 0; + + DeviceType[] source; + DeviceType[] destination; + + public DependentSetupPattern(DeviceType[] source, DeviceType[] destination, List<Integer> parameters) { + this.source = source; + this.destination = destination; + + switch (parameters.size()) { + case 1: + this.processingTime = parameters.get(0); + break; + case 2: + this.processingTime = parameters.get(0); + this.energyConsumption = parameters.get(1); + break; + case 3: + this.processingTime = parameters.get(0); + this.energyConsumption = parameters.get(1); + this.monetaryCost = parameters.get(2); + break; + + default: + break; + } + } + + public DependentSetupPattern(DeviceType[] source, DeviceType[] destination, int processingTime, int energyConsumption, int monetaryCost) { + this.source = source; + this.destination = destination; + + this.processingTime = processingTime; + this.energyConsumption = energyConsumption; + this.monetaryCost = monetaryCost; + + } + + public DeviceType[] getSource() { + return source; + } + + public DeviceType[] getDestination() { + return destination; + } + + public int getProcessingTime() { + return processingTime; + } + + public int getEnergyConsumption() { + return energyConsumption; + } + + public int getMonetaryCost() { + return monetaryCost; + } + + @Override + public String toString() { + return "Dependent Setup: Source: " + Arrays.asList(source).toString() + " Destination: " + Arrays.asList(destination).toString() + " processingTime: " + processingTime + + " energyConsumption: " + energyConsumption + " monetaryCost: " + monetaryCost; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/Device.java b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/Device.java new file mode 100644 index 0000000000000000000000000000000000000000..dd128f5d1fb786607f2b36331d2d3b63670ce6dd --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/Device.java @@ -0,0 +1,51 @@ +package uk.ac.york.safire.factoryModel.Electrolux; + +import uk.ac.york.safire.factoryModel.Electrolux.ElectroluxFactoryModel.DeviceType; + +public class Device { + + int id; + String name; + DeviceType type; + + int availability = 0; + String notavailbaileTime; + + public Device(int id, DeviceType type, int availability, String notavailbaileTime) { + this.id = id; + this.name = type.toString() + " " + this.id; + this.type = type; + this.availability = availability; + this.notavailbaileTime = notavailbaileTime; + } + + @Override + public String toString() { + return this.name; + } + + public int getId() { + return id; + } + + public DeviceType getType() { + return type; + } + + public String getName() { + return name; + } + + public int getAvailability() { + return availability; + } + + public String getNotavailbaileTime() { + return notavailbaileTime; + } + + public String getFormattedName() { + return name.split(" ")[0] + "(" + name.split(" ")[1] + ")"; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/ElectroluxFactoryModel.java b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/ElectroluxFactoryModel.java new file mode 100644 index 0000000000000000000000000000000000000000..dd86655225c1d5e05382909e8e35838bc262d0d4 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/ElectroluxFactoryModel.java @@ -0,0 +1,779 @@ +package uk.ac.york.safire.factoryModel.Electrolux; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Random; +import java.util.Set; +import java.util.stream.Collectors; + +import org.apache.commons.lang3.tuple.Triple; + +import uk.ac.york.safire.optimisation.mitm.atb.SequenceDependentTaskInfo; + +public class ElectroluxFactoryModel { + + /********************************************************************************************************************/ + + public static Random ran = new Random(); + + public static int MAX_PRIORITY = 100; + public static int percentAvailability = 100; + + public static enum AllenOperator { + M, UnDefined + } + + public static enum DeviceType { + CZ, Pot + } + + public static int USE_EXACT_TIME = 0; + public static int EXTRA_TIME_ALLOWED = 20; + public static int BEST_DURATION = 60; + public static int t1 = 0; + public static int t2 = 500; + public static int t3 = 560; + public static int t4 = 700; + + public static int scale = 1; + public static int scale1 = 1; + + public static int[] NUMBER_OF_DEVICES = { 4 * scale, 3 * scale }; + public static int DEVICE_ONE_ZONE = 4; + + public static String[] PRODUCTIONS = { "Boiled Water", "Pasta", "Rice", "Beef", "Potato", "Mushroom" }; + + public static int[] Urgency = { 1, 2, 3, 4, 5, 6 }; + + public static int setupProcessingTimeSwitch = 10; + public static int setupEnergyConsumptionSwitch = 10; + public static int setupMonetaryCostSwitch = 1000; + + public static String[] objectives = { "makespan", "discrepancy", /* "", "montary", "urgency", */ "quality", + "energy" }; + + public static String getDefaultNotAvailableTime() { + return ""; + } + + public static void main(String args[]) { + ElectroluxFactoryModel eModel = new ElectroluxFactoryModel(); + eModel.getElectroluxConfiguration(); + System.out.println(); + } + + public static int[] cookingZoneAvailability = { 1, 1, 1, 1 }; + public static int[] potAvailability = { 1, 1, 1 }; + + public static int[] AMOUNT_REQUIRED = { 5000 * scale1, 1000 * scale1, 1500 * scale1, 1000 * scale1, 1000 * scale1, + 500 * scale1 };// { 3000, 300, 600, 750, 600, 400 }; + public static String ProductionUnit = "g"; + + /********************************************************************************************************************/ + + public List<List<Device>> devices; + public List<CookingResource> cookingZone; + public List<ProductionProcess> processes; + public List<SequenceDependentTaskInfo> setups; + + public void getElectroluxConfiguration() { + + /** + * Devices + */ + devices = new ArrayList<List<Device>>(); + int deviceCount = 0; + for (DeviceType deviceType : DeviceType.values()) { + List<Device> devicesForOneType = new ArrayList<Device>(); + + for (int i = 0; i < NUMBER_OF_DEVICES[deviceCount]; i++) { + + switch (deviceType) { + case CZ: + CookingZone zone = new CookingZone(i + 1, deviceType, 1, getDefaultNotAvailableTime(), 9); + devicesForOneType.add(zone); + break; + case Pot: + int cap = i % 2 == 0 ? 3 : 5; + Pot pot = new Pot(i + 1, deviceType, 1, getDefaultNotAvailableTime(), cap); + devicesForOneType.add(pot); + break; + + default: + break; + } + + } + + devices.add(devicesForOneType); + deviceCount++; + } + + List<Device> hobs = devices.get(0); + int NoL = devices.get(0).size() / DEVICE_ONE_ZONE; + + List<List<Device>> processedDevices = new ArrayList<>(); + for (int i = 0; i < NoL; i++) { + processedDevices.add(new ArrayList<>()); + } + + for (int i = 0; i < hobs.size(); i++) { + int indexTo = i / DEVICE_ONE_ZONE; + processedDevices.get(indexTo).add(hobs.get(i)); + } + + devices.remove(0); + devices.addAll(0, processedDevices); + + System.out.println("----------------------------- Devices -----------------------------"); + for (List<Device> oneType : devices) + System.out.println(oneType.toString()); + + System.out.println("--------------------------------------------------------------------"); + + /** + * Cooking Zones + */ + cookingZone = new ArrayList<CookingResource>(); + + for (int i = 0; i < devices.size() - 1; i++) { + cookingZone.addAll(getCookingZones(devices.get(i), cookingZone.size() + 1)); + } + + cookingZone.sort((c1, c2) -> c1.devices.size() - c2.devices.size()); + + for (int i = 0; i < cookingZone.size(); i++) { + cookingZone.get(i).id = i + 1; + cookingZone.get(i).name = "CookingResource" + " " + (i + 1); + } + + System.out.println("\n----------------------------- Cooking Zones -----------------------------"); + for (int i = 0; i < cookingZone.size(); i++) { + System.out.println(cookingZone.get(i).toString()); + } + System.out.println("-----------------------------------------------------------------------------"); + + /** + * Production Processes + */ + processes = new ArrayList<>(); + + for (int productionNumber = 0; productionNumber < PRODUCTIONS.length; productionNumber++) { + String productionProcessName = PRODUCTIONS[productionNumber]; + int productionAmount = AMOUNT_REQUIRED[productionNumber]; + + ProductionProcess process = new ProductionProcess(productionNumber + 1, productionProcessName, + productionProcessName, productionAmount + ProductionUnit, Urgency[productionNumber], + getPredecessor(productionProcessName), getAmountProduced(productionProcessName), + getComptiableZones(productionProcessName), getEnergy(productionProcessName), + getComputationTime(productionProcessName), getMontary(productionProcessName), + getQuality(productionProcessName)); + processes.add(process); + } + + System.out.println("\n----------------------------- Production Processes -----------------------------"); + for (ProductionProcess process : processes) { + System.out.println(process.toString()); + } + System.out.println("----------------------------------------------------------------------------------"); + + /** + * Dependent Setup + */ + List<String> subPorcesseTypes = new ArrayList<String>(); + Map<String, List<CookingResource>> resourcesUsedBySubProcesses = new HashMap<>(); + for (int i = 0; i < processes.size(); i++) { + ProductionProcess process = processes.get(i); + + List<Map.Entry<String, Integer>> linear = process.getAmountProduced().entrySet().stream() + .collect(Collectors.toList()); + linear.sort((p1, p2) -> p1.getKey().compareTo(p2.getKey())); + + for (int j = 0; j < linear.size(); j++) { + subPorcesseTypes.add(linear.get(j).getKey()); + } + + resourcesUsedBySubProcesses.putAll(process.getCompitableResource()); + } + + final List<Triple<String, String, Set<String>>> sharedResources = new ArrayList<>(); + + for (int i = 0; i < subPorcesseTypes.size(); i++) { + for (int j = 0; j < subPorcesseTypes.size(); j++) { + + String source = subPorcesseTypes.get(i); + String target = subPorcesseTypes.get(j); + + if (j == i || (source.split("")[0].equals(target.split("")[0]) + && source.split("")[1].equals(target.split("")[1]))) + continue; + + final List<List<String>> sourcecompatNestedList = resourcesUsedBySubProcesses.get(source).stream() + .map(c -> Arrays.asList(c.resourceName().split(" "))).collect(Collectors.toList()); + final Set<String> sourcecompat = sourcecompatNestedList.stream().flatMap(List::stream) + .filter(r -> r.contains("(")).collect(Collectors.toSet()); + + final List<List<String>> targetcompatNestedList = resourcesUsedBySubProcesses.get(target).stream() + .map(c -> Arrays.asList(c.resourceName().split(" "))).collect(Collectors.toList()); + final Set<String> targetcompat = targetcompatNestedList.stream().flatMap(List::stream) + .filter(r -> r.contains("(")).collect(Collectors.toSet()); + + sourcecompat.retainAll(targetcompat); + + if (!sourcecompat.isEmpty()) + sharedResources.add(Triple.of(source, target, sourcecompat)); + } + } + + setups = new ArrayList<SequenceDependentTaskInfo>(); + for (int i = 0; i < sharedResources.size(); ++i) { + final String source = sharedResources.get(i).getLeft(); + final String target = sharedResources.get(i).getMiddle(); + final Set<String> compatibleResources = sharedResources.get(i).getRight(); + + for (String resource : compatibleResources) { + final String taskId = "DependentSetUp from " + source + " to " + target; + setups.add(new SequenceDependentTaskInfo(setupProcessingTimeSwitch, setupEnergyConsumptionSwitch, + setupMonetaryCostSwitch, resource, source, target, taskId)); + } + } + + System.out.println("\n----------------------------- Dependent SetUp -----------------------------"); + for (SequenceDependentTaskInfo setUp : setups) { + + System.out.println(setUp.getFullInfo()); + } + System.out.println("----------------------------------------------------------------------------------"); + } + + /*****************************************************************************************************************/ + + private List<CookingResource> getCookingZones(List<Device> devicesToBeProcessed, int zoneCounter) { + assert (devicesToBeProcessed.size() == 4); + List<CookingResource> zones = new ArrayList<>(); + + for (int i = 0; i < devicesToBeProcessed.size(); i++) { + List<Device> deviceInOneZone = new ArrayList<>(); + deviceInOneZone.add(devicesToBeProcessed.get(i)); + deviceInOneZone.add(devices.get(devices.size() - 1).get(0)); + CookingResource zone = new CookingResource(zoneCounter, deviceInOneZone); + zones.add(zone); + zoneCounter++; + } + + if (devices.get(1).size() > 1) { + for (int i = 0; i < devicesToBeProcessed.size(); i++) { + if ((i + 1) % 2 == 0) { + List<Device> deviceInOneZone = new ArrayList<>(); + deviceInOneZone.add(devicesToBeProcessed.get(i - 1)); + deviceInOneZone.add(devicesToBeProcessed.get(i)); + deviceInOneZone.add(devices.get(devices.size() - 1).get(1)); + CookingResource zone = new CookingResource(zoneCounter, deviceInOneZone); + zones.add(zone); + zoneCounter++; + } + } + } + + if (devices.get(1).size() > 2) { + for (int i = 0; i < devicesToBeProcessed.size(); i++) { + if ((i + 1) % 3 == 0) { + List<Device> deviceInOneZone = new ArrayList<>(); + deviceInOneZone.add(devicesToBeProcessed.get(i - 2)); + deviceInOneZone.add(devicesToBeProcessed.get(i - 1)); + deviceInOneZone.add(devicesToBeProcessed.get(i)); + deviceInOneZone.add(devices.get(devices.size() - 1).get(2)); + CookingResource zone = new CookingResource(zoneCounter, deviceInOneZone); + zones.add(zone); + zoneCounter++; + } + } + } + + return zones; + } + + private Map<String, String> getPredecessor(String ProductName) { + + Map<String, String> predecessors = new HashMap<>(); + switch (ProductName) { + case "Boiled Water": + predecessors.put("Boiled Water A", ""); + predecessors.put("Boiled Water B", ""); + if (devices.get(1).size() > 2) { + predecessors.put("Boiled Water C", ""); + } + + break; + case "Pasta": + predecessors.put("Pasta A", "Boiled Water A"); + predecessors.put("Pasta B", "Boiled Water A"); + predecessors.put("Pasta C", "Boiled Water B"); + predecessors.put("Pasta D", "Boiled Water B"); + if (devices.get(1).size() > 2) { + predecessors.put("Pasta E", "Boiled Water C"); + predecessors.put("Pasta F", "Boiled Water C"); + } + + break; + case "Rice": + predecessors.put("Rice A", "Boiled Water A"); + predecessors.put("Rice B", "Boiled Water A"); + predecessors.put("Rice C", "Boiled Water B"); + predecessors.put("Rice D", "Boiled Water B"); + if (devices.get(1).size() > 2) { + predecessors.put("Rice E", "Boiled Water C"); + predecessors.put("Rice F", "Boiled Water C"); + } + + break; + case "Beef": + predecessors.put("Beef A", "Boiled Water A"); + predecessors.put("Beef B", "Boiled Water A"); + predecessors.put("Beef C", "Boiled Water B"); + predecessors.put("Beef D", "Boiled Water B"); + if (devices.get(1).size() > 2) { + predecessors.put("Beef E", "Boiled Water C"); + predecessors.put("Beef F", "Boiled Water C"); + } + + break; + case "Potato": + predecessors.put("Potato A", "Boiled Water A"); + predecessors.put("Potato B", "Boiled Water A"); + predecessors.put("Potato C", "Boiled Water B"); + predecessors.put("Potato D", "Boiled Water B"); + if (devices.get(1).size() > 2) { + predecessors.put("Potato E", "Boiled Water C"); + predecessors.put("Potato F", "Boiled Water C"); + } + + break; + case "Mushroom": + predecessors.put("Mushroom A", ""); + predecessors.put("Mushroom B", ""); + predecessors.put("Mushroom C", ""); + predecessors.put("Mushroom D", ""); + if (devices.get(1).size() > 2) { + predecessors.put("Mushroom E", ""); + predecessors.put("Mushroom F", ""); + } + + break; + + default: + break; + } + return predecessors; + } + + private Map<String, List<CookingResource>> getComptiableZones(String ProductName) { + List<List<CookingResource>> types = new ArrayList<>(); + types.add(cookingZone.stream().filter(zone -> zone.devices.size() == 2).collect(Collectors.toList())); + types.add(cookingZone.stream().filter(zone -> zone.devices.size() == 3).collect(Collectors.toList())); + types.add(cookingZone.stream().filter(zone -> zone.devices.size() == 4).collect(Collectors.toList())); + + Map<String, List<CookingResource>> comptiableZones = new HashMap<>(); + switch (ProductName) { + case "Boiled Water": + comptiableZones.put("Boiled Water A", types.get(0)); + comptiableZones.put("Boiled Water B", types.get(1)); + if (devices.get(1).size() > 2) { + comptiableZones.put("Boiled Water C", types.get(2)); + } + break; + case "Pasta": + comptiableZones.put("Pasta A", types.get(0)); + comptiableZones.put("Pasta B", types.get(0)); + comptiableZones.put("Pasta C", types.get(1)); + comptiableZones.put("Pasta D", types.get(1)); + if (devices.get(1).size() > 2) { + comptiableZones.put("Pasta E", types.get(2)); + comptiableZones.put("Pasta F", types.get(2)); + } + break; + case "Rice": + comptiableZones.put("Rice A", types.get(0)); + comptiableZones.put("Rice B", types.get(0)); + comptiableZones.put("Rice C", types.get(1)); + comptiableZones.put("Rice D", types.get(1)); + if (devices.get(1).size() > 2) { + comptiableZones.put("Rice E", types.get(2)); + comptiableZones.put("Rice F", types.get(2)); + } + break; + case "Beef": + comptiableZones.put("Beef A", types.get(0)); + comptiableZones.put("Beef B", types.get(0)); + comptiableZones.put("Beef C", types.get(1)); + comptiableZones.put("Beef D", types.get(1)); + if (devices.get(1).size() > 2) { + comptiableZones.put("Beef E", types.get(2)); + comptiableZones.put("Beef F", types.get(2)); + } + break; + case "Potato": + comptiableZones.put("Potato A", types.get(0)); + comptiableZones.put("Potato B", types.get(0)); + comptiableZones.put("Potato C", types.get(1)); + comptiableZones.put("Potato D", types.get(1)); + if (devices.get(1).size() > 2) { + comptiableZones.put("Potato E", types.get(2)); + comptiableZones.put("Potato F", types.get(2)); + } + break; + case "Mushroom": + comptiableZones.put("Mushroom A", types.get(0)); + comptiableZones.put("Mushroom B", types.get(0)); + comptiableZones.put("Mushroom C", types.get(1)); + comptiableZones.put("Mushroom D", types.get(1)); + if (devices.get(1).size() > 2) { + comptiableZones.put("Mushroom E", types.get(2)); + comptiableZones.put("Mushroom F", types.get(2)); + } + break; + + default: + break; + } + return comptiableZones; + } + + private Map<String, Integer> getMontary(String ProductName) { + Map<String, Integer> amounts = new HashMap<>(); + switch (ProductName) { + case "Boiled Water": + amounts.put("Boiled Water A", 3); + amounts.put("Boiled Water B", 6); + if (devices.get(1).size() > 2) { + amounts.put("Boiled Water C", 9); + } + break; + case "Pasta": + amounts.put("Pasta A", 21); + amounts.put("Pasta B", 18); + amounts.put("Pasta C", 21); + amounts.put("Pasta D", 18); + if (devices.get(1).size() > 2) { + amounts.put("Pasta E", 21); + amounts.put("Pasta F", 18); + } + break; + case "Rice": + amounts.put("Rice A", 45); + amounts.put("Rice B", 39); + amounts.put("Rice C", 45); + amounts.put("Rice D", 39); + if (devices.get(1).size() > 2) { + amounts.put("Rice E", 45); + amounts.put("Rice F", 39); + } + break; + case "Beef": + amounts.put("Beef A", 27); + amounts.put("Beef B", 18); + amounts.put("Beef C", 27); + amounts.put("Beef D", 18); + if (devices.get(1).size() > 2) { + amounts.put("Beef E", 27); + amounts.put("Beef F", 18); + } + break; + case "Potato": + amounts.put("Potato A", 66); + amounts.put("Potato B", 60); + amounts.put("Potato C", 66); + amounts.put("Potato D", 60); + if (devices.get(1).size() > 2) { + amounts.put("Potato E", 66); + amounts.put("Potato F", 60); + } + break; + case "Mushroom": + amounts.put("Mushroom A", 72); + amounts.put("Mushroom B", 60); + amounts.put("Mushroom C", 90); + amounts.put("Mushroom D", 78); + if (devices.get(1).size() > 2) { + amounts.put("Mushroom E", 108); + amounts.put("Mushroom F", 96); + } + break; + + default: + break; + } + return amounts; + } + + private Map<String, Integer> getEnergy(String ProductName) { + Map<String, Integer> amounts = new HashMap<>(); + switch (ProductName) { + case "Boiled Water": + amounts.put("Boiled Water A", 350); + amounts.put("Boiled Water B", 1400); + if (devices.get(1).size() > 2) { + amounts.put("Boiled Water C", 3150); + } + break; + case "Pasta": + amounts.put("Pasta A", 840); + amounts.put("Pasta B", 770); + amounts.put("Pasta C", 1120); + amounts.put("Pasta D", 1190); + if (devices.get(1).size() > 2) { + amounts.put("Pasta E", 1520); + amounts.put("Pasta F", 1590); + } + break; + case "Rice": + amounts.put("Rice A", 1260); + amounts.put("Rice B", 1400); + amounts.put("Rice C", 1610); + amounts.put("Rice D", 1750); + if (devices.get(1).size() > 2) { + amounts.put("Rice E", 1960); + amounts.put("Rice F", 2100); + } + break; + case "Beef": + amounts.put("Beef A", 4550); + amounts.put("Beef B", 6650); + amounts.put("Beef C", 6900); + amounts.put("Beef D", 7000); + if (devices.get(1).size() > 2) { + amounts.put("Beef E", 7350); + amounts.put("Beef F", 7550); + } + break; + case "Potato": + amounts.put("Potato A", 1750); + amounts.put("Potato B", 1890); + amounts.put("Potato C", 2100); + amounts.put("Potato D", 2240); + if (devices.get(1).size() > 2) { + amounts.put("Potato E", 2450); + amounts.put("Potato F", 2590); + } + break; + case "Mushroom": + amounts.put("Mushroom A", 700); + amounts.put("Mushroom B", 840); + amounts.put("Mushroom C", 910); + amounts.put("Mushroom D", 1050); + if (devices.get(1).size() > 2) { + amounts.put("Mushroom E", 1120); + amounts.put("Mushroom F", 1260); + } + break; + + default: + break; + } + return amounts; + } + + private Map<String, Integer> getQuality(String ProductName) { + Map<String, Integer> amounts = new HashMap<>(); + switch (ProductName) { + case "Boiled Water": + amounts.put("Boiled Water A", 5); + amounts.put("Boiled Water B", 8); + if (devices.get(1).size() > 2) { + amounts.put("Boiled Water C", 11); + } + break; + case "Pasta": + amounts.put("Pasta A", 2); + amounts.put("Pasta B", 9); + amounts.put("Pasta C", 14); + amounts.put("Pasta D", 19); + if (devices.get(1).size() > 2) { + amounts.put("Pasta E", 22); + amounts.put("Pasta F", 25); + } + break; + case "Rice": + amounts.put("Rice A", 7); + amounts.put("Rice B", 15); + amounts.put("Rice C", 19); + amounts.put("Rice D", 22); + if (devices.get(1).size() > 2) { + amounts.put("Rice E", 28); + amounts.put("Rice F", 33); + } + break; + case "Beef": + amounts.put("Beef A", 5); + amounts.put("Beef B", 9); + amounts.put("Beef C", 12); + amounts.put("Beef D", 16); + if (devices.get(1).size() > 2) { + amounts.put("Beef E", 21); + amounts.put("Beef F", 27); + } + break; + case "Potato": + amounts.put("Potato A", 3); + amounts.put("Potato B", 11); + amounts.put("Potato C", 19); + amounts.put("Potato D", 23); + if (devices.get(1).size() > 2) { + amounts.put("Potato E", 26); + amounts.put("Potato F", 31); + } + break; + case "Mushroom": + amounts.put("Mushroom A", 11); + amounts.put("Mushroom B", 16); + amounts.put("Mushroom C", 19); + amounts.put("Mushroom D", 20); + if (devices.get(1).size() > 2) { + amounts.put("Mushroom E", 26); + amounts.put("Mushroom F", 29); + } + break; + + default: + break; + } + return amounts; + } + + private Map<String, Integer> getComputationTime(String ProductName) { + Map<String, Integer> amounts = new HashMap<>(); + switch (ProductName) { + case "Boiled Water": + amounts.put("Boiled Water A", 15); + amounts.put("Boiled Water B", 10); + if (devices.get(1).size() > 2) { + amounts.put("Boiled Water C", 5); + } + break; + case "Pasta": + amounts.put("Pasta A", 30); + amounts.put("Pasta B", 25); + amounts.put("Pasta C", 20); + amounts.put("Pasta D", 15); + if (devices.get(1).size() > 2) { + amounts.put("Pasta E", 10); + amounts.put("Pasta F", 5); + } + break; + case "Rice": + amounts.put("Rice A", 50); + amounts.put("Rice B", 45); + amounts.put("Rice C", 40); + amounts.put("Rice D", 35); + if (devices.get(1).size() > 2) { + amounts.put("Rice E", 15); + amounts.put("Rice F", 13); + } + break; + case "Beef": + amounts.put("Beef A", 120); + amounts.put("Beef B", 115); + amounts.put("Beef C", 90); + amounts.put("Beef D", 85); + if (devices.get(1).size() > 2) { + amounts.put("Beef E", 60); + amounts.put("Beef F", 55); + } + break; + case "Potato": + amounts.put("Potato A", 42); + amounts.put("Potato B", 40); + amounts.put("Potato C", 32); + amounts.put("Potato D", 30); + if (devices.get(1).size() > 2) { + amounts.put("Potato E", 22); + amounts.put("Potato F", 20); + } + break; + case "Mushroom": + amounts.put("Mushroom A", 38); + amounts.put("Mushroom B", 36); + amounts.put("Mushroom C", 25); + amounts.put("Mushroom D", 23); + if (devices.get(1).size() > 2) { + amounts.put("Mushroom E", 12); + amounts.put("Mushroom F", 10); + } + break; + + default: + break; + } + return amounts; + } + + private Map<String, Integer> getAmountProduced(String ProductName) { + Map<String, Integer> amounts = new HashMap<>(); + switch (ProductName) { + case "Boiled Water": + amounts.put("Boiled Water A", 1000); + amounts.put("Boiled Water B", 2000); + if (devices.get(1).size() > 2) { + amounts.put("Boiled Water C", 3000); + } + break; + case "Pasta": + amounts.put("Pasta A", 100); + amounts.put("Pasta B", 100); + amounts.put("Pasta C", 200); + amounts.put("Pasta D", 200); + if (devices.get(1).size() > 2) { + amounts.put("Pasta E", 300); + amounts.put("Pasta F", 300); + } + break; + case "Rice": + amounts.put("Rice A", 200); + amounts.put("Rice B", 200); + amounts.put("Rice C", 400); + amounts.put("Rice D", 400); + if (devices.get(1).size() > 2) { + amounts.put("Rice E", 600); + amounts.put("Rice F", 600); + } + break; + case "Beef": + amounts.put("Beef A", 250); + amounts.put("Beef B", 250); + amounts.put("Beef C", 500); + amounts.put("Beef D", 500); + if (devices.get(1).size() > 2) { + amounts.put("Beef E", 750); + amounts.put("Beef F", 750); + } + break; + case "Potato": + amounts.put("Potato A", 200); + amounts.put("Potato B", 200); + amounts.put("Potato C", 400); + amounts.put("Potato D", 400); + if (devices.get(1).size() > 2) { + amounts.put("Potato E", 600); + amounts.put("Potato F", 600); + } + break; + case "Mushroom": + amounts.put("Mushroom A", 200); + amounts.put("Mushroom B", 200); + amounts.put("Mushroom C", 300); + amounts.put("Mushroom D", 300); + if (devices.get(1).size() > 2) { + amounts.put("Mushroom E", 400); + amounts.put("Mushroom F", 400); + } + break; + + default: + break; + } + return amounts; + } +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/ElectroluxXMLReader.java b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/ElectroluxXMLReader.java new file mode 100644 index 0000000000000000000000000000000000000000..5612b5a1c09916805e79ba211f2aff0650d3cda0 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/ElectroluxXMLReader.java @@ -0,0 +1,403 @@ +package uk.ac.york.safire.factoryModel.Electrolux; + +import java.io.File; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Map; + +import javax.xml.parsers.DocumentBuilder; +import javax.xml.parsers.DocumentBuilderFactory; + +import org.w3c.dom.Document; +import org.w3c.dom.Element; +import org.w3c.dom.Node; +import org.w3c.dom.NodeList; + +import uk.ac.york.safire.factoryModel.Electrolux.ElectroluxFactoryModel.DeviceType; +import uk.ac.york.safire.optimisation.mitm.atb.SequenceDependentTaskInfo; + +public class ElectroluxXMLReader { + int useExactTime; + int extraTimeInPercent; + int bestDuration; + int t1; + int t2; + int t3; + int t4; + + List<String> objectivesList; + List<Device> resources; + List<CookingResource> lines; + List<ProductionProcess> processes; + List<SequenceDependentTaskInfo> setups; + + public void readElectroluxInput() { + try { + + File fXmlFile = new File("input/ElectroluxConfiguration.xml"); + DocumentBuilderFactory dbFactory = DocumentBuilderFactory.newInstance(); + DocumentBuilder dBuilder = dbFactory.newDocumentBuilder(); + Document ElectroluxConfiguration = dBuilder.parse(fXmlFile); + + ElectroluxConfiguration.getDocumentElement().normalize(); + + System.out.println("Root element :" + ElectroluxConfiguration.getDocumentElement().getNodeName()); + + objectivesList = getObjectives(ElectroluxConfiguration); + if (objectivesList.size() == 0) { + System.err.println("Objective size must be bigger than 0"); + System.exit(-1); + } + + useExactTime = getValue("useExactTime", ElectroluxConfiguration); + extraTimeInPercent = getValue("extraPrepareTimeInPercentage", ElectroluxConfiguration); + bestDuration = getValue("bestDuration", ElectroluxConfiguration); + t1 = getValue("t1", ElectroluxConfiguration); + t2 = getValue("t2", ElectroluxConfiguration); + t3 = getValue("t3", ElectroluxConfiguration); + t4 = getValue("t4", ElectroluxConfiguration); + + resources = getResources(ElectroluxConfiguration); + lines = getProductionLines(ElectroluxConfiguration, resources); + processes = getProduction(ElectroluxConfiguration, resources, lines); + setups = getDependentSetup(ElectroluxConfiguration, processes, resources); + + } catch (Exception e) { + e.printStackTrace(); + } + } + + private int getValue(String name, Document ElectroluxConfiguration) { + NodeList nodeList = ElectroluxConfiguration.getElementsByTagName(name); + Node node = nodeList.item(0); + Element element = (Element) node; + return Integer.parseInt(element.getTextContent()); + } + + private List<String> getObjectives(Document doc) { + List<String> objectives = new ArrayList<String>(); + + NodeList objectivesNodeList = doc.getElementsByTagName("objective"); + + for (int i = 0; i < objectivesNodeList.getLength(); i++) { + Node objectiveNode = objectivesNodeList.item(i); + + if (objectiveNode.getNodeType() == Node.ELEMENT_NODE) { + Element objectiveElement = (Element) objectiveNode; + String objectiveName = objectiveElement.getAttribute("name"); + + objectives.add(objectiveName); + } + } + + return objectives; + } + + private List<Device> getResources(Document doc) { + + List<Device> resources = new ArrayList<Device>(); + + NodeList processingDeviceNodeList = doc.getElementsByTagName("processingDevice"); + + for (int i = 0; i < processingDeviceNodeList.getLength(); i++) { + + Node deviceNode = processingDeviceNodeList.item(i); + + if (deviceNode.getNodeType() == Node.ELEMENT_NODE) { + Element deviceElement = (Element) deviceNode; + String deviceName = deviceElement.getAttribute("name"); + String availability = deviceElement.getAttribute("availability"); + + List<String> unavailableTimes = new ArrayList<>(); + NodeList unavailableTimeList = deviceElement.getElementsByTagName("unavailableTime"); + for (int j = 0; j < unavailableTimeList.getLength(); j++) { + Node unavailableTimeNode = unavailableTimeList.item(j); + + if (unavailableTimeNode.getNodeType() == Node.ELEMENT_NODE) { + Element unavailableTimeElement = (Element) unavailableTimeNode; + String content = unavailableTimeElement.getTextContent(); + unavailableTimes.add(content); + } + } + + String unAvailableTimesToString = String.join(" ", unavailableTimes); + + Device device = new Device(Integer.parseInt(deviceName.split(" ")[1]), + stringToDeviceType(deviceName.split(" ")[0]), Integer.parseInt(availability), + unAvailableTimesToString); + resources.add(device); + } + } + + //System.out.println("\n-------------------------- Devices --------------------------"); + String out = "Devices: "; + String nameFlag = ""; + for (int i = 0; i < resources.size(); i++) { + if (!nameFlag.equals(resources.get(i).getName())) { + out += "\n"; + nameFlag = resources.get(i).getName(); + } + out += resources.get(i).toString() + " "; + } + + //System.out.println(out); + + //System.out.println("-------------------------------------------------------------"); + return resources; + } + + private List<CookingResource> getProductionLines(Document doc, List<Device> devices) { + List<CookingResource> line = new ArrayList<CookingResource>(); + + NodeList productionLineNodeList = doc.getElementsByTagName("cookingResource"); + + for (int i = 0; i < productionLineNodeList.getLength(); i++) { + Node productionLineNode = productionLineNodeList.item(i); + + if (productionLineNode.getNodeType() == Node.ELEMENT_NODE) { + Element productionLineElement = (Element) productionLineNode; + String productionLineName = productionLineElement.getAttribute("name"); + + NodeList productionLineProcessingDeviceNodeList = productionLineElement + .getElementsByTagName("cookingProcessingDevice"); + List<Device> devicesForOneLine = new ArrayList<Device>(); + + for (int j = 0; j < productionLineProcessingDeviceNodeList.getLength(); j++) { + Node productionLineProcessingDeviceNode = productionLineProcessingDeviceNodeList.item(j); + if (productionLineProcessingDeviceNode.getNodeType() == Node.ELEMENT_NODE) { + Element productionLineProcessingDeviceElement = (Element) productionLineProcessingDeviceNode; + String productionLineProcessingDeviceName = productionLineProcessingDeviceElement + .getAttribute("name"); + Device device = getDeviceByName(productionLineProcessingDeviceName, devices); + devicesForOneLine.add(device); + } + } + + line.add(new CookingResource(Integer.parseInt(productionLineName.split(" ")[1]), devicesForOneLine)); + } + } + + //System.out.println("\n-------------------------- Production Line --------------------------"); + String out = "Production Line: \n"; + for (CookingResource oneLine : line) { + out += oneLine.toString() + "\n"; + } + //System.out.println(out); + //System.out.println("-----------------------------------------------------------------------"); + return line; + } + + private List<ProductionProcess> getProduction(Document doc, List<Device> resources, List<CookingResource> lines) { + List<ProductionProcess> processes = new ArrayList<ProductionProcess>(); + + NodeList productionProcessNodeList = doc.getElementsByTagName("productionProcess"); + + for (int i = 0; i < productionProcessNodeList.getLength(); i++) { + Node productionProcessNode = productionProcessNodeList.item(i); + if (productionProcessNode.getNodeType() == Node.ELEMENT_NODE) { + Element productionProcessElement = (Element) productionProcessNode; + String productionProcessName = productionProcessElement.getAttribute("name"); + String urgency = productionProcessElement.getAttribute("priority"); + + Map<String, List<CookingResource>> compitableResource = new java.util.HashMap<String, List<CookingResource>>(); + Map<String, Integer> amounts = new java.util.HashMap<String, Integer>(); + Map<String, String> predecessor = new java.util.HashMap<>(); + + Map<String, Integer> energy = new java.util.HashMap<String, Integer>(); + Map<String, Integer> processingTime = new java.util.HashMap<String, Integer>(); + Map<String, Integer> montary = new java.util.HashMap<String, Integer>(); + Map<String, Integer> quality = new java.util.HashMap<String, Integer>(); + + NodeList processTypesNodeList = productionProcessElement.getElementsByTagName("processType"); + + for (int j = 0; j < processTypesNodeList.getLength(); j++) { + Node processTypeNode = processTypesNodeList.item(j); + if (processTypeNode.getNodeType() == Node.ELEMENT_NODE) { + Element processTypeElement = (Element) processTypeNode; + String processTypeName = processTypeElement.getAttribute("name"); + + String processTypeAmount = processTypeElement.getAttribute("amountProduced"); + amounts.put(processTypeName, + Integer.parseInt(processTypeAmount.substring(0, processTypeAmount.length() - 1))); + + String processTypePredecessor = processTypeElement.getAttribute("predecessor"); + predecessor.put(processTypeName, processTypePredecessor); + + String processTypeEnergy = processTypeElement.getAttribute("energy"); + energy.put(processTypeName, Integer.parseInt(processTypeEnergy)); + + String processTypeProcessingTime = processTypeElement.getAttribute("processingTime"); + processingTime.put(processTypeName, Integer.parseInt(processTypeProcessingTime)); + + String processTypeMontary = processTypeElement.getAttribute("montary"); + montary.put(processTypeName, Integer.parseInt(processTypeMontary)); + + String processTypeQuality = processTypeElement.getAttribute("quality"); + quality.put(processTypeName, Integer.parseInt(processTypeQuality)); + + List<CookingResource> comptiableLines = new ArrayList<>(); + NodeList productionLineNodeList = processTypeElement + .getElementsByTagName("comptiableCookingZone"); + for (int k = 0; k < productionLineNodeList.getLength(); k++) { + Node productionLineNode = productionLineNodeList.item(k); + if (productionLineNode.getNodeType() == Node.ELEMENT_NODE) { + Element productionLineElement = (Element) productionLineNode; + String lineName = productionLineElement.getTextContent(); + comptiableLines.add(getProductionLineByName(lineName, lines)); + } + } + compitableResource.put(processTypeName, comptiableLines); + } + } + + String[] nameToArray = productionProcessName.split(" "); + String nameRaw = ""; + for (int k = 0; k < nameToArray.length - 1; k++) { + nameRaw += nameToArray[k] + " "; + } + String name = nameRaw.substring(0, nameRaw.length() - 1); + + String product = Arrays.copyOfRange(nameToArray, 0, nameToArray.length).toString(); + String amount = nameToArray[nameToArray.length - 1].substring(0, + nameToArray[nameToArray.length - 1].length() - 1); + + ProductionProcess process = new ProductionProcess(i + 1, name, product, amount, + Integer.parseInt(urgency), predecessor, amounts, compitableResource, energy, processingTime, + montary, quality); + processes.add(process); + } + + } + + //System.out.println("\n-------------------------- Production Process --------------------------"); + //System.out.println(processes.toString()); + //System.out.println("-----------------------------------------------------------------------"); + + return processes; + } + + private CookingResource getProductionLineByName(String lineName, List<CookingResource> lines) { + for (CookingResource line : lines) { + if (line.getName().equals(lineName)) + return line; + } + return null; + } + + private List<SequenceDependentTaskInfo> getDependentSetup(Document doc, List<ProductionProcess> processes, + List<Device> devices) { + List<SequenceDependentTaskInfo> setups = new ArrayList<SequenceDependentTaskInfo>(); + + NodeList setupsNodeList = doc.getElementsByTagName("sequenceDependentSetup"); + for (int i = 0; i < setupsNodeList.getLength(); i++) { + Node setupNode = setupsNodeList.item(i); + if (setupNode.getNodeType() == Node.ELEMENT_NODE) { + Element setupElement = (Element) setupNode; + + String source = setupElement.getAttribute("source"); + String dest = setupElement.getAttribute("destination"); + String deviceNamesRaw = setupElement.getAttribute("processingDevice"); + String extraProcessingTime = setupElement.getAttribute("extraProcessingTime"); + String extraEnergyConsumption = setupElement.getAttribute("extraEnergyConsumption"); + String extraMonetaryCost = setupElement.getAttribute("extraMonetaryCost"); + + final String taskId = "DependentSetUp from " + source + " to " + dest; + String[] deviceNamesRawArray = deviceNamesRaw.split(" "); + String deviceNames = deviceNamesRawArray[0] + "(" + deviceNamesRawArray[1] + ")"; + + SequenceDependentTaskInfo setup = new SequenceDependentTaskInfo(Integer.parseInt(extraProcessingTime), + Integer.parseInt(extraEnergyConsumption), Integer.parseInt(extraMonetaryCost), deviceNames, + source, dest, taskId); + setups.add(setup); + } + } + + //System.out.println("\n----------------------------- Dependent SetUp -----------------------------"); + for (SequenceDependentTaskInfo setUp : setups) { + + //System.out.println(setUp.getFullInfo()); + } + //System.out.println("----------------------------------------------------------------------------------"); + + return setups; + } + + private DeviceType stringToDeviceType(String typeName) { + for (DeviceType type : DeviceType.values()) { + if (type.toString().equals(typeName)) + return type; + } + + System.err.println("cannot find deviceType via name"); + System.exit(-1); + return null; + } + + private Device getDeviceByName(String name, List<Device> devices) { + for (Device device : devices) { + if (device.getName().equals(name)) { + return device; + } + } + System.err.println("cannot find device via name"); + System.exit(-1); + return null; + + } + + public List<Device> getResources() { + return resources; + } + + public List<CookingResource> getLines() { + return lines; + } + + public List<ProductionProcess> getProcesses() { + return processes; + } + + public List<SequenceDependentTaskInfo> getSetups() { + return setups; + } + + public List<String> getObjectivesList() { + return objectivesList; + } + + public int getUseExactTime() { + return useExactTime; + } + + public int getExtraTimeInPercent() { + return extraTimeInPercent; + } + + public int getBestDuration() { + return bestDuration; + } + + public int getT1() { + return t1; + } + + public int getT2() { + return t2; + } + + public int getT3() { + return t3; + } + + public int getT4() { + return t4; + } + + public static void main(String args[]) { + ElectroluxXMLReader reader = new ElectroluxXMLReader(); + reader.readElectroluxInput(); + //System.out.println(""); + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/ElectroluxXMLWriter.java b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/ElectroluxXMLWriter.java new file mode 100644 index 0000000000000000000000000000000000000000..d47a70f25eecef94bf07a4417f674ae01f1ce351 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/ElectroluxXMLWriter.java @@ -0,0 +1,203 @@ +package uk.ac.york.safire.factoryModel.Electrolux; + +import java.io.FileWriter; +import java.io.IOException; +import java.util.Arrays; +import java.util.List; +import java.util.Map; +import java.util.stream.Collectors; + +import org.jdom2.Attribute; +import org.jdom2.Document; +import org.jdom2.Element; +import org.jdom2.output.Format; +import org.jdom2.output.XMLOutputter; + +import uk.ac.york.safire.optimisation.mitm.atb.SequenceDependentTaskInfo; + +public class ElectroluxXMLWriter { + + public static void main(String args[]) { + ElectroluxXMLWriter.write(); + } + + public static void write() { + ElectroluxFactoryModel electrolux = new ElectroluxFactoryModel(); + electrolux.getElectroluxConfiguration(); + + List<String> objectives = Arrays.asList(ElectroluxFactoryModel.objectives); + List<List<Device>> devices = electrolux.devices; + List<CookingResource> cookingZones = electrolux.cookingZone; + List<ProductionProcess> processes = electrolux.processes; + List<SequenceDependentTaskInfo> setups = electrolux.setups; + + try { + Document doc = new Document(); + Element company = new Element("ElectroluxFactoryModel"); + doc.setRootElement(company); + doc.getRootElement().addContent(addExtraTime(ElectroluxFactoryModel.USE_EXACT_TIME,"useExactTime")); + doc.getRootElement().addContent(addExtraTime(ElectroluxFactoryModel.EXTRA_TIME_ALLOWED,"extraPrepareTimeInPercentage")); + doc.getRootElement().addContent(addExtraTime(ElectroluxFactoryModel.BEST_DURATION,"bestDuration")); + doc.getRootElement().addContent(addExtraTime(ElectroluxFactoryModel.t1,"t1")); + doc.getRootElement().addContent(addExtraTime(ElectroluxFactoryModel.t2,"t2")); + doc.getRootElement().addContent(addExtraTime(ElectroluxFactoryModel.t3,"t3")); + doc.getRootElement().addContent(addExtraTime(ElectroluxFactoryModel.t4,"t4")); + doc.getRootElement().addContent(addObjective(objectives)); + doc.getRootElement().addContent(addProcessingDevices(devices)); + doc.getRootElement().addContent(addCookingZones(cookingZones)); + doc.getRootElement().addContent(addProductionProcesses(processes)); + doc.getRootElement().addContent(addsequenceDependentSetup(setups)); + + XMLOutputter xmlOutput = new XMLOutputter(); + + // display nice nice + xmlOutput.setFormat(Format.getPrettyFormat()); + xmlOutput.output(doc, new FileWriter("input/ElectroluxConfiguration.xml")); + + System.out.println("File Saved!"); + } catch (IOException io) { + System.out.println(io.getMessage()); + } + } + + private static Element addExtraTime(int time, String name) { + Element timeElement = new Element(name); + timeElement.addContent(""+time); + + return timeElement; + } + + private static Element addObjective(List<String> objectives) { + Element objectiveElement = new Element("objectives"); + + for (String objective : objectives) { + Element objElement = new Element("objective"); + objElement.setAttribute(new Attribute("name", objective)); + objectiveElement.addContent(objElement); + } + + return objectiveElement; + + } + + private static Element addProcessingDevices(List<List<Device>> devices) { + Element processingDevicesElement = new Element("processingDevices"); + + for (List<Device> deviceInOneType : devices) { + for (Device device : deviceInOneType) { + Element processingDeviceElement = new Element("processingDevice"); + processingDeviceElement.setAttribute(new Attribute("name", device.getName())); + processingDeviceElement.setAttribute(new Attribute("availability", device.getAvailability() + "")); + + String notAvailables = device.getNotavailbaileTime(); + + List<String> notAvailablesToString = Arrays.asList(notAvailables.split(" ")); + + Element unavailableTimesElement = new Element("unavailableTimes"); + for (String aTime : notAvailablesToString) { + Element unavailableTimeElement = new Element("unavailableTime"); + unavailableTimeElement.addContent(aTime); + unavailableTimesElement.addContent(unavailableTimeElement); + } + processingDeviceElement.addContent(unavailableTimesElement); + processingDevicesElement.addContent(processingDeviceElement); + } + } + + return processingDevicesElement; + } + + private static Element addCookingZones(List<CookingResource> zones) { + Element productionLinesElement = new Element("cookingResources"); + + for (CookingResource line : zones) { + Element productionLineElement = new Element("cookingResource"); + String name = line.getName(); + productionLineElement.setAttribute(new Attribute("name", name)); + + Element productionLineProcessingDevicesElement = new Element("cookingProcessingDevices"); + + for (String device : line.getDeviceNames()) { + Element productionLineProcessingDeviceElement = new Element("cookingProcessingDevice"); + productionLineProcessingDeviceElement.setAttribute(new Attribute("name", "" + device)); + productionLineProcessingDevicesElement.addContent(productionLineProcessingDeviceElement); + } + + productionLineElement.addContent(productionLineProcessingDevicesElement); + productionLinesElement.addContent(productionLineElement); + + } + + return productionLinesElement; + + } + + private static Element addProductionProcesses(List<ProductionProcess> processes) { + Element productionProcessesElement = new Element("productionProcesses"); + + for (ProductionProcess process : processes) { + Element productionProcessElement = new Element("productionProcess"); + productionProcessElement.setAttribute(new Attribute("name", process.getKey())); + productionProcessElement.setAttribute(new Attribute("priority", process.getUrgency() + "")); + + List<Map.Entry<String, List<CookingResource>>> linear = process.getCompitableResource().entrySet().stream() + .collect(Collectors.toList()); + linear.sort((p1, p2) -> p1.getKey().compareTo(p2.getKey())); + + Element processTypesElement = new Element("processTypes"); + for (int i = 0; i < linear.size(); i++) { + Element typeElement = new Element("processType"); + typeElement.setAttribute(new Attribute("name", linear.get(i).getKey())); + typeElement.setAttribute( + new Attribute("amountProduced", process.getAmountProduced().get(linear.get(i).getKey()) + "g")); + typeElement.setAttribute( + new Attribute("predecessor", process.getPredecessor().get(linear.get(i).getKey()))); + typeElement.setAttribute( + new Attribute("energy", process.getEnergy().get(linear.get(i).getKey())+ "")); + typeElement.setAttribute( + new Attribute("processingTime", process.getProcessingTime().get(linear.get(i).getKey())+ "")); + typeElement.setAttribute( + new Attribute("montary", process.getMontary().get(linear.get(i).getKey())+ "")); + typeElement.setAttribute( + new Attribute("quality", process.getQuality().get(linear.get(i).getKey())+ "")); + + Element comptiableProductionLinesElement = new Element("comptiableCookingZones"); + for (CookingResource line : linear.get(i).getValue()) { + Element lineElement = new Element("comptiableCookingZone"); + lineElement.setText(line.getName()); + comptiableProductionLinesElement.addContent(lineElement); + } + typeElement.addContent(comptiableProductionLinesElement); + processTypesElement.addContent(typeElement); + } + + productionProcessElement.addContent(processTypesElement); + productionProcessesElement.addContent(productionProcessElement); + } + return productionProcessesElement; + } + + private static Element addsequenceDependentSetup(List<SequenceDependentTaskInfo> setups) { + Element sequenceDependentSetupsElement = new Element("sequenceDependentSetups"); + + for (SequenceDependentTaskInfo setup : setups) { + + Element setupElement = new Element("sequenceDependentSetup"); + setupElement.setAttribute(new Attribute("source", setup.lastTaskPrefix)); + setupElement.setAttribute(new Attribute("destination", setup.nextTaskPrefix)); + + String[] deviceName = setup.resource.split("\\("); + String[] deviceNumber = deviceName[1].split("\\)"); + + setupElement.setAttribute(new Attribute("processingDevice", deviceName[0] + " " + deviceNumber[0])); + setupElement.setAttribute(new Attribute("extraProcessingTime", setup.duration + "")); + setupElement.setAttribute(new Attribute("extraEnergyConsumption", setup.energyCost + "")); + setupElement.setAttribute(new Attribute("extraMonetaryCost", setup.montaryCost + "")); + + sequenceDependentSetupsElement.addContent(setupElement); + + } + return sequenceDependentSetupsElement; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/Pot.java b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/Pot.java new file mode 100644 index 0000000000000000000000000000000000000000..e2cd9d7934f3d5eb074d09cd302d50b95cbca512 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/Pot.java @@ -0,0 +1,22 @@ +package uk.ac.york.safire.factoryModel.Electrolux; + +import uk.ac.york.safire.factoryModel.Electrolux.ElectroluxFactoryModel.DeviceType; + +public class Pot extends Device { + + int capability; + + public Pot(int id, DeviceType type, int availability, String notavailbaileTime, int capability) { + super(id, type, availability, notavailbaileTime); + this.capability = capability; + } + + public int getCapability() { + return capability; + } + + public void setCapability(int capability) { + this.capability = capability; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/ProductionProcess.java b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/ProductionProcess.java new file mode 100644 index 0000000000000000000000000000000000000000..63ff5ca42b3ce4a2d8d6d246194dffb93040e342 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/ProductionProcess.java @@ -0,0 +1,109 @@ +package uk.ac.york.safire.factoryModel.Electrolux; + +import java.util.Arrays; +import java.util.List; +import java.util.Map; + +public class ProductionProcess { + + int id; + String name; + String product; + String amount; + int urgency; + + Map<String, String> predecessor; + Map<String, Integer> AmountProduced; + Map<String, List<CookingResource>> compitableResource; + + Map<String, Integer> energy; + Map<String, Integer> processingTime; + Map<String, Integer> montary; + Map<String, Integer> quality; + + public ProductionProcess(int id, String name, String product, String amount, int urgency, + Map<String, String> predecessor, Map<String, Integer> AmountProduced, + Map<String, List<CookingResource>> compitableResource, Map<String, Integer> energy, + Map<String, Integer> processingTime, Map<String, Integer> montary, Map<String, Integer> quality) { + this.id = id; + this.name = name; + this.product = product; + this.amount = amount; + this.urgency = urgency; + + this.predecessor = predecessor; + this.AmountProduced = AmountProduced; + this.compitableResource = compitableResource; + + this.energy = energy; + this.processingTime = processingTime; + this.montary = montary; + this.quality = quality; + } + + public int getId() { + return id; + } + + public String getName() { + return name; + } + + public String getProduct() { + return product; + } + + public String getAmount() { + return amount; + } + + public int getUrgency() { + return urgency; + } + + public Map<String, List<CookingResource>> getCompitableResource() { + return compitableResource; + } + + public Map<String, Integer> getAmountProduced() { + return AmountProduced; + } + + public String getKey() { + return name + " " + amount; + } + + public Map<String, String> getPredecessor() { + return predecessor; + } + + public Map<String, Integer> getEnergy() { + return energy; + } + + public Map<String, Integer> getProcessingTime() { + return processingTime; + } + + public Map<String, Integer> getMontary() { + return montary; + } + + public Map<String, Integer> getQuality() { + return quality; + } + + @Override + public String toString() { + String out = "Process: " + name + " product: " + product + " amount: " + amount + " urgency: " + urgency + " \n" + + "Compitable Resources: " + Arrays.toString(compitableResource.entrySet().toArray()) + "\n" + + "Amount Produced: " + Arrays.toString(AmountProduced.entrySet().toArray()) + "\n" + "Predecessor: " + + Arrays.toString(predecessor.entrySet().toArray()) + "\n" + "Energy: " + + Arrays.toString(energy.entrySet().toArray()) + "\n" + "Processing Time: " + + Arrays.toString(processingTime.entrySet().toArray()) + "\n" + "Montary: " + + Arrays.toString(montary.entrySet().toArray()) + "\n" + "Quality: " + + Arrays.toString(quality.entrySet().toArray()) + "\n"; + return out; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/Util.java b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/Util.java new file mode 100644 index 0000000000000000000000000000000000000000..efd3abc119b0cf82858da5e157f8d594c77994b4 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/Util.java @@ -0,0 +1,70 @@ +package uk.ac.york.safire.factoryModel.Electrolux; + +import java.util.ArrayList; +import java.util.List; + +public class Util { + + static List<List<String>> getCombine(List<String> s1, List<String> s2) { + List<List<String>> result = new ArrayList<List<String>>(); + + for (int i = 0; i < s1.size(); i++) { + for (int j = 0; j < s2.size(); j++) { + List<String> com = new ArrayList<String>(); + com.add(s1.get(i)); + com.add(s2.get(j)); + result.add(com); + + } + } + + return result; + } + + public static void main(String args[]) { + List<List<Integer>> intLists = new ArrayList<>(); + List<Integer> intList1 = new ArrayList<>(); + intList1.add(0); + intList1.add(50); + List<Integer> intList2 = new ArrayList<>(); + intList2.add(0); + intList2.add(80); + List<Integer> intList3 = new ArrayList<>(); + intList3.add(50); + intList3.add(100); + List<Integer> intList4 = new ArrayList<>(); + intList4.add(200); + intList4.add(300); + intLists.add(intList1); + intLists.add(intList2); + intLists.add(intList3); + intLists.add(intList4); + + System.out.println(intLists); + + removeContainedOnes(intLists); + + System.out.println(intLists); + + } + + public static void removeContainedOnes(List<List<Integer>> intLists) { + + List<List<Integer>> intListsCopy = new ArrayList<List<Integer>>(intLists); + + for (int i = 0; i < intLists.size(); i++) { + int startTime = intLists.get(i).get(0); + int endTime = intLists.get(i).get(1); + + for (int j = i; j < intLists.size(); j++) { + int startTime1 = intLists.get(j).get(0); + int endTime1 = intLists.get(j).get(1); + + + } + + } + + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/ValueCurve.java b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/ValueCurve.java new file mode 100644 index 0000000000000000000000000000000000000000..fbf27e57e3355f067ddadfca4525894c47d71043 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/Electrolux/ValueCurve.java @@ -0,0 +1,52 @@ +package uk.ac.york.safire.factoryModel.Electrolux; + +import java.text.DecimalFormat; +import java.util.ArrayList; +import java.util.List; + +public class ValueCurve { + + public static double getQualityExact(List<Integer> finishTimes, int t1, double t2, double t3, int t4) { + return qualityCal(finishTimes, t1, t2, t3, t4); + } + + public static double getQuality(List<Integer> finishTimes, int t1, int t4, int deadline, int duration) { + int t2 = deadline - duration; + int t3 = deadline; + return qualityCal(finishTimes, t1, t2, t3, t4); + } + + private static double qualityCal(List<Integer> finishTimes, int t1, double t2, double t3, int t4) { + double quality = 0; + + List<Double> qualities = new ArrayList<Double>(); + + for (Integer t : finishTimes) { + double q = getIndividualQuality(t, t1, t2, t3, t4); + qualities.add(q); + quality += q; + } + + DecimalFormat df = new DecimalFormat("0.00"); + + return Double.parseDouble(df.format(quality)); + } + + private static double getIndividualQuality(double time, double t1, double t2, double t3, double t4) { + + double quality = 2; + if (time <= t1 || time >= t4) + quality = 0; + if (time>= t2 && time <= t3) + quality = 1; + + if (time > t1 && time < t2) + quality = (time - t1) / (t2 - t1); + + if (time > t3 && time < t4) + quality = (t4 - time) / (t4 - t3); + + assert (quality <= 1); + return 1 - quality; + } +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/OAS/DependentSetupPattern.java b/src/main/java/uk/ac/york/safire/factoryModel/OAS/DependentSetupPattern.java new file mode 100644 index 0000000000000000000000000000000000000000..a27429808d2e26025958d366bfbf47838b591b84 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/OAS/DependentSetupPattern.java @@ -0,0 +1,76 @@ +package uk.ac.york.safire.factoryModel.OAS; + +import java.util.Arrays; +import java.util.List; + +import uk.ac.york.safire.factoryModel.OAS.OASFactoryModel.DeviceType; + +public class DependentSetupPattern { + + int processingTime = 0; + int energyConsumption = 0; + int monetaryCost = 0; + + DeviceType[] source; + DeviceType[] destination; + + public DependentSetupPattern(DeviceType[] source, DeviceType[] destination, List<Integer> parameters) { + this.source = source; + this.destination = destination; + + switch (parameters.size()) { + case 1: + this.processingTime = parameters.get(0); + break; + case 2: + this.processingTime = parameters.get(0); + this.energyConsumption = parameters.get(1); + break; + case 3: + this.processingTime = parameters.get(0); + this.energyConsumption = parameters.get(1); + this.monetaryCost = parameters.get(2); + break; + + default: + break; + } + } + + public DependentSetupPattern(DeviceType[] source, DeviceType[] destination, int processingTime, int energyConsumption, int monetaryCost) { + this.source = source; + this.destination = destination; + + this.processingTime = processingTime; + this.energyConsumption = energyConsumption; + this.monetaryCost = monetaryCost; + + } + + public DeviceType[] getSource() { + return source; + } + + public DeviceType[] getDestination() { + return destination; + } + + public int getProcessingTime() { + return processingTime; + } + + public int getEnergyConsumption() { + return energyConsumption; + } + + public int getMonetaryCost() { + return monetaryCost; + } + + @Override + public String toString() { + return "Dependent Setup: Source: " + Arrays.asList(source).toString() + " Destination: " + Arrays.asList(destination).toString() + " processingTime: " + processingTime + + " energyConsumption: " + energyConsumption + " monetaryCost: " + monetaryCost; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/OAS/Device.java b/src/main/java/uk/ac/york/safire/factoryModel/OAS/Device.java new file mode 100644 index 0000000000000000000000000000000000000000..a4fd4dc2c44e896812f3d2f67ccaa7bc40d8abd3 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/OAS/Device.java @@ -0,0 +1,76 @@ +package uk.ac.york.safire.factoryModel.OAS; + +import uk.ac.york.safire.factoryModel.OAS.OASFactoryModel.DeviceType; +import uk.ac.york.safire.factoryModel.OAS.OASFactoryModel.ModeType; + +public class Device { + + int id; + String name; + DeviceType type; + ModeType mode; + + int availability = 0; + int energyConsumptionPerTimeUnit = 0; + int monetaryCostPerTimeUnit = 0; + + String notavailbaileTime; + + public Device(int id, DeviceType type, ModeType mode, int energyConsumptionPerTimeUnit, int monetaryCost, + int availability, String notavailbaileTime) { + this.id = id; + this.name = type.toString() + " " + this.id; + this.type = type; + this.mode = mode; + this.energyConsumptionPerTimeUnit = energyConsumptionPerTimeUnit; + this.monetaryCostPerTimeUnit = monetaryCost; + this.availability = availability; + this.notavailbaileTime = notavailbaileTime; + } + + @Override + public String toString() { + return this.name + " " + this.mode + " " + this.energyConsumptionPerTimeUnit + " " + monetaryCostPerTimeUnit; + } + + public int getId() { + return id; + } + + public DeviceType getType() { + return type; + } + + public ModeType getMode() { + return mode; + } + + public String getName() { + return name; + } + + public int getEnergyConsumptionPerTimeUnit() { + return energyConsumptionPerTimeUnit; + } + + public int getMonetaryCostPerTimeUnit() { + return monetaryCostPerTimeUnit; + } + + public String getKey() { + return this.name + " " + this.mode; + } + + public int getAvailability() { + return availability; + } + + public String getNotavailbaileTime() { + return notavailbaileTime; + } + + public String getFormattedName() { + return name.split(" ")[0] + "(" + name.split(" ")[1] + ")"; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/OAS/OASFactoryModel.java b/src/main/java/uk/ac/york/safire/factoryModel/OAS/OASFactoryModel.java new file mode 100644 index 0000000000000000000000000000000000000000..43757d947e05740d234f726ba6d63c51fa66f943 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/OAS/OASFactoryModel.java @@ -0,0 +1,749 @@ +package uk.ac.york.safire.factoryModel.OAS; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Random; +import java.util.Set; +import java.util.stream.Collectors; + +import org.apache.commons.lang3.tuple.Triple; + +import uk.ac.york.safire.optimisation.mitm.atb.SequenceDependentTaskInfo; + +public class OASFactoryModel { + + /********************************************************************************************************************/ + + public static Random ran = new Random(); + + public static int MAX_PRIORITY = 100; + public static int percentAvailability = 100; + + public static enum AllenOperator { + M, UnDefined/* , LT, S, F, EQ, O, D */ + } + + public static enum DeviceType { + Silo, Mixer, Tank + } + + public static enum ModeType { + Ecomony, Standard, Performance + } + + public static int[] NUMBER_OF_DEVICES = { 5, 10, 2 }; + + public static ModeType[][] MODE_TYPES = { { ModeType.Standard, ModeType.Ecomony, ModeType.Performance }, + { ModeType.Standard, ModeType.Ecomony, ModeType.Performance }, { ModeType.Standard } }; + + public static final double[] modeCost = { 0.75, 1.0, 1.25 }; + public static final int[][] standardEnergyAndMoneyCost = { { 3, 30 }, { 10, 50 }, { 1, 10 } }; + + public static final double[] modeComputationTime = { 1.5, 1.0, 0.5 }; + public static final int[][] SILO_COMPUTATION_TIME = { { 10, 5 }, { 10, 5 }, { 10, 5 }, { 10, 5 } }; + public static final int[][] MIXER_COMPUTATION_TIME = { { 80, 60, 45 }, { 80, 60, 45 }, { 120, 90, 60 }, + { 60, 45, 30 } }; + public static final int[][] TANK_COMPUTATION_TIME = { { 10 }, { 10 }, { 10 }, { 10 } }; + + public static String[] PRODUCTIONS = { "Std Weiss", "Weiss Matt", "Super Glanz", "Weiss Basis" }; + public static int[] Urgency = { 1, 2, 3, 4 }; + public static int[] AMOUNT_REQUIRED = { 45, 40, 30, 20 }; + public static String ProductionUnit = "t"; + + public static final double[][] DeviceTypeConfiguration = { { 0.4, 0.6 }, { 0.5, 0.2, 0.2 }, { 1.0 } }; + + public static int setupProcessingTimeSwitchToOthersProcess = 10; + public static int setupEnergyConsumptionSwitchToOthersProcess = 10; + public static int setupMonetaryCostSwitchToOthersProcess = 1000; + + public static String[] objectives = { "makespan"/*, "energy", "montary"*/, "discrepancy"/*, "urgency"*/ }; + + public static String getDefaultNotAvailableTime() { + return ""; + } + + public static int getCost(int deviceTypeIndex, int modeTypeIndex, int costIndex) { + double cost = (double) standardEnergyAndMoneyCost[deviceTypeIndex][costIndex] + * (double) modeCost[modeTypeIndex]; + if (cost > 1) { + return (int) Math.floor(cost); + } else { + return (int) Math.ceil(cost); + } + + } + + private static List<List<List<Integer>>> getComputationTimes() { + + List<List<Integer>> siloTimes = new ArrayList<>(); + for (int i = 0; i < SILO_COMPUTATION_TIME[0].length; i++) { + List<Integer> times = new ArrayList<>(); + for (int j = 0; j < SILO_COMPUTATION_TIME.length; j++) { + + times.add(SILO_COMPUTATION_TIME[j][i]); + } + siloTimes.add(times); + } + + List<List<Integer>> mixerTimes = new ArrayList<>(); + for (int i = 0; i < MIXER_COMPUTATION_TIME[0].length; i++) { + List<Integer> times = new ArrayList<>(); + for (int j = 0; j < MIXER_COMPUTATION_TIME.length; j++) { + + times.add(MIXER_COMPUTATION_TIME[j][i]); + } + mixerTimes.add(times); + } + + List<List<Integer>> tankTimes = new ArrayList<>(); + for (int i = 0; i < TANK_COMPUTATION_TIME[0].length; i++) { + List<Integer> times = new ArrayList<>(); + for (int j = 0; j < TANK_COMPUTATION_TIME.length; j++) { + + times.add(TANK_COMPUTATION_TIME[j][i]); + } + tankTimes.add(times); + } + + List<List<List<Integer>>> results = new ArrayList<List<List<Integer>>>(); + results.add(siloTimes); + results.add(mixerTimes); + results.add(tankTimes); + + return results; + + } + + private static Map<String, List<Integer>> getComputationTimeMap(List<List<List<Device>>> devices) { + List<List<List<Integer>>> times = getComputationTimes(); + + Map<String, List<Integer>> computationTime = new HashMap<>(); + + for (List<List<Device>> oneType : devices) { + switch (oneType.get(0).get(0).getType()) { + case Silo: + int index = (int) (oneType.size() * DeviceTypeConfiguration[0][0]); + + for (int i = 0; i < oneType.size(); i++) { + for (Device device : oneType.get(i)) { + switch (device.getMode()) { + case Ecomony: + + computationTime.put(device.getKey(), + times.get(0).get(i < index ? 0 : 1).stream() + .map(x -> (int) Math.ceil(x * modeComputationTime[0])) + .collect(Collectors.toList())); + break; + case Standard: + computationTime.put(device.getKey(), times.get(0).get(i < index ? 0 : 1)); + default: + break; + } + + } + } + + break; + + case Mixer: + int index1 = (int) (oneType.size() * DeviceTypeConfiguration[1][0]); // 5 + int index2 = index1 + (int) (oneType.size() * DeviceTypeConfiguration[1][1]); // 7 + + for (int i = 0; i < oneType.size(); i++) { + for (Device device : oneType.get(i)) { + int computationTimeindex = -1; + if (i < index1) + computationTimeindex = 0; + else if (i >= index1 && i < index2) + computationTimeindex = 1; + else + computationTimeindex = 2; + switch (device.getMode()) { + case Ecomony: + + computationTime.put(device.getKey(), + times.get(1).get(computationTimeindex).stream() + .map(x -> (int) Math.ceil(x * modeComputationTime[0])) + .collect(Collectors.toList())); + break; + case Standard: + + computationTime.put(device.getKey(), times.get(1).get(computationTimeindex)); + break; + case Performance: + computationTime.put(device.getKey(), + times.get(1).get(computationTimeindex).stream() + .map(x -> (int) Math.ceil(x * modeComputationTime[2])) + .collect(Collectors.toList())); + default: + break; + } + + } + } + break; + + case Tank: + for (int i = 0; i < oneType.size(); i++) { + for (Device device : oneType.get(i)) { + computationTime.put(device.getKey(), times.get(2).get(0)); + } + } + break; + + default: + break; + } + } + + return computationTime; + } + + public static List<DeviceType[]> SubProcessDevicePattern() { + List<DeviceType[]> types = new ArrayList<DeviceType[]>(); + types.add(new DeviceType[] { DeviceType.Silo, DeviceType.Mixer }); + types.add(new DeviceType[] { DeviceType.Mixer }); + types.add(new DeviceType[] { DeviceType.Mixer, DeviceType.Tank }); + return types; + } + + public static List<SubProcessRelationPattern> relationPattern() { + List<DeviceType[]> subProcessTypes = SubProcessDevicePattern(); + + List<SubProcessRelationPattern> relations = new ArrayList<SubProcessRelationPattern>(); + relations.add(new SubProcessRelationPattern(subProcessTypes.get(0), subProcessTypes.get(1), AllenOperator.M)); + // relations.add(new SubProcessRelationPattern(subProcessTypes.get(0), + // subProcessTypes.get(2), AllenOperator.LT)); + relations.add(new SubProcessRelationPattern(subProcessTypes.get(1), subProcessTypes.get(2), AllenOperator.M)); + + // relations.add(new SubProcessRelationPattern(subProcessTypes.get(0), + // subProcessTypes.get(4), AllenOperator.LT)); + return relations; + } + + /********************************************************************************************************************/ + + public List<List<List<Device>>> devices; + public List<ProductionLine> productionLines; + public List<ProductionProcess> processes; + public List<SubProcessRelation> relations; + public List<SequenceDependentTaskInfo> setups; + + public void getOASConfiguration() { + /** + * Devices + */ + devices = new ArrayList<List<List<Device>>>(); + + for (DeviceType deviceType : DeviceType.values()) { + List<List<Device>> devicesForOneType = new ArrayList<List<Device>>(); + + switch (deviceType) { + case Silo: + for (int i = 0; i < NUMBER_OF_DEVICES[0]; i++) { + List<Device> deviceList = new ArrayList<Device>(); + + for (ModeType modeType : ModeType.values()) { + int deviceTypeIndex = Arrays.asList(DeviceType.values()).indexOf(deviceType); + int modeTypeIndex = Arrays.asList(ModeType.values()).indexOf(modeType); + int id = i + 1; + Device device = null; + switch (modeType) { + case Ecomony: + device = new Device(id, deviceType, modeType, getCost(deviceTypeIndex, modeTypeIndex, 0), + getCost(deviceTypeIndex, modeTypeIndex, 1), 1, getDefaultNotAvailableTime()); + deviceList.add(device); + break; + case Standard: + device = new Device(id, deviceType, modeType, getCost(deviceTypeIndex, modeTypeIndex, 0), + getCost(deviceTypeIndex, modeTypeIndex, 1), 1, getDefaultNotAvailableTime()); + deviceList.add(device); + break; + // case Performance: + // device = new Device(id, deviceType, modeType, EnergyConsumptionPerformance, + // MonetaryCostPerformance); + // break; + default: + break; + } + + } + devicesForOneType.add(deviceList); + } + break; + + case Mixer: + for (int i = 0; i < NUMBER_OF_DEVICES[1]; i++) { + List<Device> deviceList = new ArrayList<Device>(); + + for (ModeType modeType : ModeType.values()) { + int deviceTypeIndex = Arrays.asList(DeviceType.values()).indexOf(deviceType); + int modeTypeIndex = Arrays.asList(ModeType.values()).indexOf(modeType); + int id = i + 1; + Device device = null; + switch (modeType) { + case Standard: + device = new Device(id, deviceType, modeType, getCost(deviceTypeIndex, modeTypeIndex, 0), + getCost(deviceTypeIndex, modeTypeIndex, 1), 1, getDefaultNotAvailableTime()); + deviceList.add(device); + break; + case Ecomony: + device = new Device(id, deviceType, modeType, getCost(deviceTypeIndex, modeTypeIndex, 0), + getCost(deviceTypeIndex, modeTypeIndex, 1), 1, getDefaultNotAvailableTime()); + deviceList.add(device); + break; + case Performance: + device = new Device(id, deviceType, modeType, getCost(deviceTypeIndex, modeTypeIndex, 0), + getCost(deviceTypeIndex, modeTypeIndex, 1), 1, getDefaultNotAvailableTime()); + deviceList.add(device); + break; + default: + break; + } + + } + devicesForOneType.add(deviceList); + } + break; + + case Tank: + for (int i = 0; i < NUMBER_OF_DEVICES[2]; i++) { + List<Device> deviceList = new ArrayList<Device>(); + + for (ModeType modeType : ModeType.values()) { + int deviceTypeIndex = Arrays.asList(DeviceType.values()).indexOf(deviceType); + int modeTypeIndex = Arrays.asList(ModeType.values()).indexOf(modeType); + int id = i + 1; + Device device = null; + switch (modeType) { + case Standard: + device = new Device(id, deviceType, modeType, getCost(deviceTypeIndex, modeTypeIndex, 0), + getCost(deviceTypeIndex, modeTypeIndex, 1), 1, getDefaultNotAvailableTime()); + deviceList.add(device); + break; + // case Ecomony: + // device = new Device(id, deviceType, modeType, EnergyConsumptionEco, + // MonetaryCostEco); + // deviceList.add(device); + // break; + // case Performance: + // device = new Device(id, deviceType, modeType, EnergyConsumptionPerformance, + // MonetaryCostPerformance); + // deviceList.add(device); + // break; + default: + break; + } + + } + devicesForOneType.add(deviceList); + } + break; + + default: + break; + } + + devices.add(devicesForOneType); + + } + + System.out.println("----------------------------- Devices -----------------------------"); + for (List<List<Device>> oneType : devices) { + for (List<Device> oneMode : oneType) { + System.out.println(oneMode.toString()); + } + System.out.println(); + } + System.out.println("--------------------------------------------------------------------"); + + Map<String, List<Integer>> processingTimeMap = getComputationTimeMap(devices); + + /** + * Production Lines + */ + productionLines = new ArrayList<ProductionLine>(); + + List<List<Device>> devicesForAllLines = new ArrayList<List<Device>>(); + + int SilotoMixer = devices.get(1).size() / devices.get(0).size(); // 2 + int TanktoMixer = devices.get(1).size() / devices.get(2).size(); // 5 + + for (int i = 0; i < devices.get(1).size(); i++) { + List<Device> deviceOneLine = new ArrayList<Device>(); + int siloNo = (int) Math.ceil((double) (i + 1) / (double) SilotoMixer); + int mixerNo = i + 1; + int tankno = (int) Math.ceil((double) (i + 1) / (double) TanktoMixer); + + deviceOneLine.add(devices.get(0).get(siloNo - 1).get(0)); + deviceOneLine.add(devices.get(1).get(mixerNo - 1).get(0)); + deviceOneLine.add(devices.get(2).get(tankno - 1).get(0)); + + devicesForAllLines.add(deviceOneLine); + } + + // for (int i = 0; i < devices.size(); i++) { + // for (int j = 0; j < devices.get(i).size(); j++) { + // devicesForAllLines.get(j).add(devices.get(i).get(j).get(0)); + // } + // } + + System.out.println("\n----------------------------- Production Lines -----------------------------"); + for (int i = 0; i < devicesForAllLines.size(); i++) { + ProductionLine productionLine = new ProductionLine(i + 1, devicesForAllLines.get(i)); + productionLines.add(productionLine); + System.out.println(productionLine.toString()); + } + System.out.println("-----------------------------------------------------------------------------"); + + /** + * Production Processes + */ + processes = new ArrayList<>(); + + for (int productionNumber = 0; productionNumber < PRODUCTIONS.length; productionNumber++) { + String productionProcessName = PRODUCTIONS[productionNumber]; + int productionAmount = AMOUNT_REQUIRED[productionNumber]; + List<DeviceType[]> subProcessTypes = SubProcessDevicePattern(); + + List<List<List<Device>>> subProcessDevices = new ArrayList<List<List<Device>>>(); + List<List<List<Integer>>> subProcessProcessingTime = new ArrayList<List<List<Integer>>>(); + + for (int subProcessNumber = 0; subProcessNumber < subProcessTypes.size(); subProcessNumber++) { + DeviceType[] subProcessType = subProcessTypes.get(subProcessNumber); + + List<List<Device>> oneSubGroup = getSubGroups(devices, subProcessType, productionLines); + subProcessDevices.add(oneSubGroup); + subProcessProcessingTime.add(getComputationTimes(oneSubGroup, processingTimeMap, productionNumber)); + } + + ProductionProcess process = new ProductionProcess(productionNumber + 1, productionProcessName, + productionProcessName, productionAmount + ProductionUnit, Urgency[productionNumber], + subProcessTypes, getCompitableResources(productionProcessName, productionLines), + getAmountProduced(productionProcessName), subProcessDevices, subProcessProcessingTime); + processes.add(process); + } + + System.out.println("\n----------------------------- Production Processes -----------------------------"); + for (ProductionProcess process : processes) { + System.out.println(process.toString()); + } + System.out.println("----------------------------------------------------------------------------------"); + + /** + * SubProcess Relations + */ + System.out.println("\n----------------------------- SubProcess Relation Pattern-----------------------------"); + List<SubProcessRelationPattern> relationPattern = relationPattern(); + + for (SubProcessRelationPattern relation : relationPattern) { + if (relation.getRelation() != AllenOperator.UnDefined) + System.out.println(relation.toString()); + } + System.out.println("----------------------------------------------------------------------------------"); + + relations = new ArrayList<SubProcessRelation>(); + + for (ProductionProcess process : processes) { + List<Map.Entry<String, List<SubProcess>>> linear = process.getSubProcesses().entrySet().stream() + .collect(Collectors.toList()); + linear.sort((p1, p2) -> p1.getKey().compareTo(p2.getKey())); + + for (Map.Entry<String, List<SubProcess>> entry : linear) { + List<SubProcess> subporcess = new ArrayList<>(); + subporcess.addAll(entry.getValue()); + + for (int i = 0; i < subporcess.size() - 1; i++) { + for (int j = i + 1; j < subporcess.size(); j++) { + SubProcess source = subporcess.get(i); + SubProcess target = subporcess.get(j); + + AllenOperator relation = AllenOperator.UnDefined; + + for (int z = 0; z < relationPattern.size(); z++) { + SubProcessRelationPattern relationType = relationPattern.get(z); + if (compareSubProcessTypes(source.getType(), relationType.getSource()) + && compareSubProcessTypes(target.getType(), relationType.getDestination())) { + relation = relationType.getRelation(); + } + } + + relations.add(new SubProcessRelation(source, target, relation)); + + } + } + + } + + } + + System.out.println("\n----------------------------- SubProcess Relation -----------------------------"); + for (SubProcessRelation relation : relations) { + System.out.println(relation.toString()); + } + System.out.println("----------------------------------------------------------------------------------"); + + /** + * Dependent Setup + */ + + List<String> subPorcesseTypes = new ArrayList<String>(); + Map<String, List<ProductionLine>> resourcesUsedBySubProcesses = new HashMap<>(); + for (int i = 0; i < processes.size(); i++) { + ProductionProcess process = processes.get(i); + + List<Map.Entry<String, List<SubProcess>>> linear = process.getSubProcesses().entrySet().stream() + .collect(Collectors.toList()); + linear.sort((p1, p2) -> p1.getKey().compareTo(p2.getKey())); + + for (int j = 0; j < linear.size(); j++) { + subPorcesseTypes.add(linear.get(j).getKey()); + } + + resourcesUsedBySubProcesses.putAll(process.getCompitableResource()); + } + + final List<Triple<String, String, Set<String>>> sharedResources = new ArrayList<>(); + + for (int i = 0; i < subPorcesseTypes.size(); i++) { + for (int j = 0; j < subPorcesseTypes.size(); j++) { + + String source = subPorcesseTypes.get(i); + String target = subPorcesseTypes.get(j); + + if (j == i || (source.split("")[0].equals(target.split("")[0]) + && source.split("")[1].equals(target.split("")[1]))) + continue; + + final List<List<String>> sourcecompatNestedList = resourcesUsedBySubProcesses.get(source).stream() + .map(c -> Arrays.asList(c.resourceName().split(" "))).collect(Collectors.toList()); + final Set<String> sourcecompat = sourcecompatNestedList.stream().flatMap(List::stream) + .filter(r -> r.contains("(")).collect(Collectors.toSet()); + + final List<List<String>> targetcompatNestedList = resourcesUsedBySubProcesses.get(target).stream() + .map(c -> Arrays.asList(c.resourceName().split(" "))).collect(Collectors.toList()); + final Set<String> targetcompat = targetcompatNestedList.stream().flatMap(List::stream) + .filter(r -> r.contains("(")).collect(Collectors.toSet()); + + sourcecompat.retainAll(targetcompat); + + if (!sourcecompat.isEmpty()) + sharedResources.add(Triple.of(source, target, sourcecompat)); + } + } + + setups = new ArrayList<SequenceDependentTaskInfo>(); + for (int i = 0; i < sharedResources.size(); ++i) { + final String source = sharedResources.get(i).getLeft(); + final String target = sharedResources.get(i).getMiddle(); + final Set<String> compatibleResources = sharedResources.get(i).getRight(); + + for (String resource : compatibleResources) { + final String taskId = "DependentSetUp from " + source + " to " + target; + setups.add(new SequenceDependentTaskInfo(setupProcessingTimeSwitchToOthersProcess, + setupEnergyConsumptionSwitchToOthersProcess, setupMonetaryCostSwitchToOthersProcess, resource, + source, target, taskId)); + } + } + + System.out.println("\n----------------------------- Dependent SetUp -----------------------------"); + for (SequenceDependentTaskInfo setUp : setups) { + + System.out.println(setUp.getFullInfo()); + } + System.out.println("----------------------------------------------------------------------------------"); + + } + + /*****************************************************************************************************************/ + + private Map<String, List<ProductionLine>> getCompitableResources(String ProductName, List<ProductionLine> lines) { + Map<String, List<ProductionLine>> compitableResource = new HashMap<>(); + compitableResource.put(ProductName + " A", lines.subList(0, 5)); + compitableResource.put(ProductName + " B", lines.subList(5, 7)); + compitableResource.put(ProductName + " C", lines.subList(7, lines.size())); + return compitableResource; + } + + private Map<String, Integer> getAmountProduced(String ProductName) { + Map<String, Integer> amounts = new HashMap<>(); + switch (ProductName) { + case "Std Weiss": + amounts.put("Std Weiss A", 5); + amounts.put("Std Weiss B", 10); + amounts.put("Std Weiss C", 10); + amounts.put("Std Weiss D", 10); + break; + case "Weiss Matt": + amounts.put("Weiss Matt A", 5); + amounts.put("Weiss Matt B", 10); + amounts.put("Weiss Matt C", 10); + amounts.put("Weiss Matt D", 10); + break; + case "Super Glanz": + amounts.put("Super Glanz A", 4); + amounts.put("Super Glanz B", 8); + amounts.put("Super Glanz C", 8); + amounts.put("Super Glanz D", 8); + break; + case "Weiss Basis": + amounts.put("Weiss Basis A", 6); + amounts.put("Weiss Basis B", 12); + amounts.put("Weiss Basis C", 12); + amounts.put("Weiss Basis D", 12); + break; + + default: + break; + } + return amounts; + } + + private static List<List<Integer>> getComputationTimes(List<List<Device>> devices, + Map<String, List<Integer>> computationTimeMap, int productionIndex) { + + List<List<Integer>> computationTimes = new ArrayList<>(); + for (List<Device> oneGroup : devices) { + List<Integer> computaionTime = new ArrayList<>(); + for (Device device : oneGroup) { + computaionTime.add(computationTimeMap.get(device.getKey()).get(productionIndex)); + } + computationTimes.add(computaionTime); + } + + return computationTimes; + } + + private static List<List<Device>> getSubGroups(List<List<List<Device>>> devices, DeviceType[] subProcessType, + List<ProductionLine> lines) { + List<Device> allDevices = new ArrayList<Device>(); + for (List<List<Device>> oneType : devices) { + oneType.forEach(allDevices::addAll); + } + + List<List<Device>> deviceForProcess = new ArrayList<List<Device>>(); + for (int i = 0; i < subProcessType.length; i++) { + DeviceType type = subProcessType[i]; + List<Device> deviceForType = new ArrayList<Device>(); + + for (Device d : allDevices) { + if (d.getType() == type) { + deviceForType.add(d); + } + } + deviceForProcess.add(deviceForType); + } + + if (deviceForProcess.size() < 2) { + List<List<Device>> results = new ArrayList<List<Device>>(); + for (Device dev : deviceForProcess.get(0)) { + List<Device> devs = new ArrayList<Device>(); + devs.add(dev); + results.add(devs); + } + return results; + } + + List<List<Device>> results = getCombine(deviceForProcess.get(0), deviceForProcess.get(1), lines); + + return results; + } + + static List<List<Device>> getCombine(List<Device> s1, List<Device> s2, List<ProductionLine> lines) { + List<List<Device>> result = new ArrayList<List<Device>>(); + + for (int i = 0; i < s1.size(); i++) { + for (int j = 0; j < s2.size(); j++) { + List<Device> com = new ArrayList<Device>(); + com.add(s1.get(i)); + com.add(s2.get(j)); + + List<String> comNames = new ArrayList<String>(); + comNames.add(s1.get(i).getName()); + comNames.add(s2.get(j).getName()); + + for (ProductionLine line : lines) { + if (line.getDeviceNames().containsAll(comNames)) { + result.add(com); + break; + } + } + + } + } + + return result; + } + + static boolean compareSubProcessTypes(DeviceType[] dt1, DeviceType[] dt2) { + if (dt1.length != dt2.length) + return false; + + for (int i = 0; i < dt1.length; i++) { + if (dt1[i].toString() != dt2[i].toString()) + return false; + } + return true; + + } + + // static List<Device> getSameDeviceTypes(List<ProductionLine> source, + // List<ProductionLine> target) { + // + // final List<List<String>> sourcecompatNestedList = source.stream().map(c -> + // Arrays.asList(c.resourceName().split(" "))).collect(Collectors.toList()); + // final Set<String> sourcecompat = + // sourcecompatNestedList.stream().flatMap(List::stream) + // .filter(r -> r.contains("(")).collect(Collectors.toSet()); + // + // final List<List<String>> targetcompatNestedList = target.stream().map(c -> + // Arrays.asList(c.resourceName().split(" "))).collect(Collectors.toList()); + // final Set<String> targetcompat = + // targetcompatNestedList.stream().flatMap(List::stream) + // .filter(r -> r.contains("(")).collect(Collectors.toSet()); + // + // sourcecompat.retainAll(targetcompat); + // + // + // + // + // List<Device> sourceDevices = + // source.getSubProcessGroup().stream().flatMap(List::stream).map(c -> c) + // .collect(Collectors.toList()); + // + // List<Device> targetDevices = + // target.getSubProcessGroup().stream().flatMap(List::stream).map(c -> c) + // .collect(Collectors.toList()); + // + // List<Device> sameDevices = new ArrayList<Device>(); + // + // for (Device sd : sourceDevices) { + // for (Device td : targetDevices) { + // if (sd.getKey().equals(td.getKey())) { + // sameDevices.add(sd); + // } + // } + // } + // + // List<Device> devices = new ArrayList<>(); + // for (Device rd : sameDevices) { + // boolean canInsert = true; + // for (Device d : devices) { + // if (d.getName().equals(rd.getName())) { + // canInsert = false; + // } + // } + // + // if (canInsert) + // devices.add(rd); + // } + // + // devices.sort((p1, p2) -> p1.getName().compareTo(p2.getName())); + // + // return devices; + // } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/OAS/OASXMLReader.java b/src/main/java/uk/ac/york/safire/factoryModel/OAS/OASXMLReader.java new file mode 100644 index 0000000000000000000000000000000000000000..793d024337edcb91812c49f68d1c8311270a4ad7 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/OAS/OASXMLReader.java @@ -0,0 +1,536 @@ +package uk.ac.york.safire.factoryModel.OAS; + +import java.io.File; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Map; +import java.util.stream.Collectors; + +import javax.xml.parsers.DocumentBuilder; +import javax.xml.parsers.DocumentBuilderFactory; + +import org.w3c.dom.Document; +import org.w3c.dom.Element; +import org.w3c.dom.Node; +import org.w3c.dom.NodeList; + +import uk.ac.york.safire.factoryModel.OAS.OASFactoryModel.AllenOperator; +import uk.ac.york.safire.factoryModel.OAS.OASFactoryModel.DeviceType; +import uk.ac.york.safire.factoryModel.OAS.OASFactoryModel.ModeType; +import uk.ac.york.safire.optimisation.mitm.atb.SequenceDependentTaskInfo; + +public class OASXMLReader { + List<String> objectivesList; + List<Device> resources; + List<ProductionLine> lines; + List<ProductionProcess> processes; + List<SubProcessRelation> relations; + List<SequenceDependentTaskInfo> setups; + + public void readOASInput() { + try { + + File fXmlFile = new File("input/OASConfiguration.xml"); + DocumentBuilderFactory dbFactory = DocumentBuilderFactory.newInstance(); + DocumentBuilder dBuilder = dbFactory.newDocumentBuilder(); + Document OASConfiguration = dBuilder.parse(fXmlFile); + + OASConfiguration.getDocumentElement().normalize(); + + System.out.println("Root element :" + OASConfiguration.getDocumentElement().getNodeName()); + + objectivesList = getObjectives(OASConfiguration); + if (objectivesList.size() == 0) { + System.err.println("Objective size must be bigger than 0"); + System.exit(-1); + } + resources = getResources(OASConfiguration); + lines = getProductionLines(OASConfiguration, resources); + processes = getProduction(OASConfiguration, resources, lines); + relations = getSubProcessRelation(OASConfiguration, processes); + setups = getDependentSetup(OASConfiguration, processes, resources); + + } catch (Exception e) { + e.printStackTrace(); + } + } + + private List<String> getObjectives(Document doc) { + List<String> objectives = new ArrayList<String>(); + + NodeList objectivesNodeList = doc.getElementsByTagName("objective"); + + for (int i = 0; i < objectivesNodeList.getLength(); i++) { + Node objectiveNode = objectivesNodeList.item(i); + + if (objectiveNode.getNodeType() == Node.ELEMENT_NODE) { + Element objectiveElement = (Element) objectiveNode; + String objectiveName = objectiveElement.getAttribute("name"); + + objectives.add(objectiveName); + } + } + + return objectives; + } + + private List<Device> getResources(Document doc) { + + List<Device> resources = new ArrayList<Device>(); + + NodeList processingDeviceNodeList = doc.getElementsByTagName("processingDevice"); + + for (int i = 0; i < processingDeviceNodeList.getLength(); i++) { + + Node deviceNode = processingDeviceNodeList.item(i); + + if (deviceNode.getNodeType() == Node.ELEMENT_NODE) { + Element deviceElement = (Element) deviceNode; + String deviceName = deviceElement.getAttribute("name"); + String availability = deviceElement.getAttribute("availability"); + + List<String> unavailableTimes = new ArrayList<>(); + NodeList unavailableTimeList = deviceElement.getElementsByTagName("unavailableTime"); + for (int j = 0; j < unavailableTimeList.getLength(); j++) { + Node unavailableTimeNode = unavailableTimeList.item(j); + + if (unavailableTimeNode.getNodeType() == Node.ELEMENT_NODE) { + Element unavailableTimeElement = (Element) unavailableTimeNode; + String content = unavailableTimeElement.getTextContent(); + unavailableTimes.add(content); + } + } + + String unAvailableTimesToString = String.join(" ", unavailableTimes); + + NodeList modesNodeList = deviceElement.getElementsByTagName("mode"); + + for (int j = 0; j < modesNodeList.getLength(); j++) { + Node modeNode = modesNodeList.item(j); + + if (modeNode.getNodeType() == Node.ELEMENT_NODE) { + Element modeElement = (Element) modeNode; + String modeType = modeElement.getAttribute("name"); + + String energyConsumptionPerTimeUnit = modeElement.getAttribute("energyConsumptionPerTimeUnit"); + String monetaryCostPerTimeUnit = modeElement.getAttribute("monetaryCostPerTimeUnit"); + + Device device = new Device(Integer.parseInt(deviceName.split(" ")[1]), + stringToDeviceType(deviceName.split(" ")[0]), stringToModeType(modeType), + Integer.parseInt(energyConsumptionPerTimeUnit), + Integer.parseInt(monetaryCostPerTimeUnit), Integer.parseInt(availability), + unAvailableTimesToString); + resources.add(device); + } + } + + } + } + + System.out.println("\n-------------------------- Devices --------------------------"); + String out = "Devices: "; + String nameFlag = ""; + for (int i = 0; i < resources.size(); i++) { + if (!nameFlag.equals(resources.get(i).getName())) { + out += "\n"; + nameFlag = resources.get(i).getName(); + } + out += resources.get(i).toString() + " "; + } + + System.out.println(out); + + System.out.println("-------------------------------------------------------------"); + return resources; + } + + // private int getAvailablility(Document doc) { + // + // int availability = Integer.parseInt( + // doc.getElementsByTagName("percentAvailability").item(0).getChildNodes().item(0).getNodeValue()); + // + // System.out.println("percentAvailability: " + availability); + // return availability; + // } + + private List<ProductionLine> getProductionLines(Document doc, List<Device> devices) { + List<ProductionLine> line = new ArrayList<ProductionLine>(); + + NodeList productionLineNodeList = doc.getElementsByTagName("productionLine"); + + for (int i = 0; i < productionLineNodeList.getLength(); i++) { + Node productionLineNode = productionLineNodeList.item(i); + + if (productionLineNode.getNodeType() == Node.ELEMENT_NODE) { + Element productionLineElement = (Element) productionLineNode; + String productionLineName = productionLineElement.getAttribute("name"); + + NodeList productionLineProcessingDeviceNodeList = productionLineElement + .getElementsByTagName("productionLineProcessingDevice"); + List<Device> devicesForOneLine = new ArrayList<Device>(); + + for (int j = 0; j < productionLineProcessingDeviceNodeList.getLength(); j++) { + Node productionLineProcessingDeviceNode = productionLineProcessingDeviceNodeList.item(j); + if (productionLineProcessingDeviceNode.getNodeType() == Node.ELEMENT_NODE) { + Element productionLineProcessingDeviceElement = (Element) productionLineProcessingDeviceNode; + String productionLineProcessingDeviceName = productionLineProcessingDeviceElement + .getAttribute("name"); + Device device = getDeviceByName(productionLineProcessingDeviceName, devices); + devicesForOneLine.add(device); + } + } + + line.add(new ProductionLine(Integer.parseInt(productionLineName.split(" ")[1]), devicesForOneLine)); + } + } + + System.out.println("\n-------------------------- Production Line --------------------------"); + String out = "Production Line: \n"; + for (ProductionLine oneLine : line) { + out += oneLine.toString() + "\n"; + } + System.out.println(out); + System.out.println("-----------------------------------------------------------------------"); + return line; + } + + private List<ProductionProcess> getProduction(Document doc, List<Device> resources, List<ProductionLine> lines) { + List<ProductionProcess> processes = new ArrayList<ProductionProcess>(); + + NodeList productionProcessNodeList = doc.getElementsByTagName("productionProcess"); + + for (int i = 0; i < productionProcessNodeList.getLength(); i++) { + Node productionProcessNode = productionProcessNodeList.item(i); + if (productionProcessNode.getNodeType() == Node.ELEMENT_NODE) { + Element productionProcessElement = (Element) productionProcessNode; + String productionProcessName = productionProcessElement.getAttribute("name"); + String urgency = productionProcessElement.getAttribute("priority"); + + Map<String, List<ProductionLine>> compitableResource = new java.util.HashMap<String, List<ProductionLine>>(); + Map<String, Integer> amounts = new java.util.HashMap<String, Integer>(); + Map<String, List<SubProcess>> rawSubProcesses = new java.util.HashMap<String, List<SubProcess>>(); + + NodeList processTypesNodeList = productionProcessElement.getElementsByTagName("processType"); + + for (int j = 0; j < processTypesNodeList.getLength(); j++) { + Node processTypeNode = processTypesNodeList.item(j); + if (processTypeNode.getNodeType() == Node.ELEMENT_NODE) { + Element processTypeElement = (Element) processTypeNode; + String processTypeName = processTypeElement.getAttribute("name"); + String processTypeAmount = processTypeElement.getAttribute("amountProduced"); + amounts.put(processTypeName, + Integer.parseInt(processTypeAmount.substring(0, processTypeAmount.length() - 1))); + + List<ProductionLine> comptiableLines = new ArrayList<>(); + NodeList productionLineNodeList = processTypeElement + .getElementsByTagName("comptiableProductionLine"); + for (int k = 0; k < productionLineNodeList.getLength(); k++) { + Node productionLineNode = productionLineNodeList.item(k); + if (productionLineNode.getNodeType() == Node.ELEMENT_NODE) { + Element productionLineElement = (Element) productionLineNode; + String lineName = productionLineElement.getTextContent(); + comptiableLines.add(getProductionLineByName(lineName, lines)); + } + } + compitableResource.put(processTypeName, comptiableLines); + + NodeList subProcessNodeList = processTypeElement.getElementsByTagName("subprocess"); + List<List<List<Device>>> devices = new ArrayList<List<List<Device>>>(); + List<List<Integer>> params = new ArrayList<List<Integer>>(); + List<DeviceType[]> types = new ArrayList<DeviceType[]>(); + List<String> names = new ArrayList<String>(); + + for (int k = 0; k < subProcessNodeList.getLength(); k++) { + Node subProcessNode = subProcessNodeList.item(k); + if (subProcessNode.getNodeType() == Node.ELEMENT_NODE) { + Element subProcessElement = (Element) subProcessNode; + + names.add(subProcessElement.getAttribute("name")); + + List<List<Device>> devicesInOneSubProcess = new ArrayList<List<Device>>(); + List<Integer> paramsInOneSubProcess = new ArrayList<>(); + + NodeList subDeviceGroupsNodeList = subProcessElement + .getElementsByTagName("subprocessProcessingDevicesGroup"); + + for (int h = 0; h < subDeviceGroupsNodeList.getLength(); h++) { + Node subGroupNode = subDeviceGroupsNodeList.item(h); + if (subGroupNode.getNodeType() == Node.ELEMENT_NODE) { + Element subGroupElement = (Element) subGroupNode; + + int subProcessDeviceProcessingTime = Integer + .parseInt(subGroupElement.getAttribute("processingTime")); + + paramsInOneSubProcess.add(subProcessDeviceProcessingTime); + + List<Device> deviceInOneGroup = new ArrayList<>(); + + NodeList subprocessDevicesNodeList = subGroupElement + .getElementsByTagName("subprocessProcessingDevice"); + for (int z = 0; z < subprocessDevicesNodeList.getLength(); z++) { + Node subProcessDeviceNode = subprocessDevicesNodeList.item(z); + if (subProcessDeviceNode.getNodeType() == Node.ELEMENT_NODE) { + Element subProcessDeviceElement = (Element) subProcessDeviceNode; + String subProcessDeviceName = subProcessDeviceElement + .getAttribute("name"); + String subProcessDeviceMode = subProcessDeviceElement + .getAttribute("mode"); + + String[] nameAsArray = subProcessDeviceName.split(" "); + + Device device = getDeviceByName(Integer.parseInt(nameAsArray[1]), + stringToDeviceType(nameAsArray[0]), + stringToModeType(subProcessDeviceMode), resources); + deviceInOneGroup.add(device); + } + } + + devicesInOneSubProcess.add(deviceInOneGroup); + } + } + + devices.add(devicesInOneSubProcess); + params.add(paramsInOneSubProcess); + + DeviceType[] type = new DeviceType[devicesInOneSubProcess.get(0).size()]; + for (int t = 0; t < devicesInOneSubProcess.get(0).size(); t++) { + type[t] = devicesInOneSubProcess.get(0).get(t).getType(); + } + types.add(type); + } + } + + assert (names.size() == devices.size()); + assert (devices.size() == params.size()); + assert (types.size() == params.size()); + + List<SubProcess> rawSubProcessForOneType = new ArrayList<>(); + + for (int index = 0; index < devices.size(); index++) { + String[] nameAsArray = names.get(index).split(" "); + String name = ""; + + for (int nameIndex = 0; nameIndex < nameAsArray.length - 1; nameIndex++) { + name += nameAsArray[nameIndex] + " "; + } + SubProcess rawSp = new SubProcess(index, name.substring(0, name.length() - 1), + types.get(index), devices.get(index), params.get(index)); + rawSubProcessForOneType.add(rawSp); + } + + rawSubProcesses.put(processTypeName, rawSubProcessForOneType); + + } + } + + String[] nameToArray = productionProcessName.split(" "); + String product = Arrays.copyOfRange(nameToArray, 0, nameToArray.length).toString(); + String amount = nameToArray[nameToArray.length - 1].substring(0, + nameToArray[nameToArray.length - 1].length() - 1); + + ProductionProcess process = new ProductionProcess(i + 1, productionProcessName, product, amount, + Integer.parseInt(urgency), compitableResource, amounts, rawSubProcesses); + + processes.add(process); + } + + } + + System.out.println("\n-------------------------- Production Process --------------------------"); + System.out.println(processes.toString()); + System.out.println("-----------------------------------------------------------------------"); + + return processes; + } + + private ProductionLine getProductionLineByName(String lineName, List<ProductionLine> lines) { + for (ProductionLine line : lines) { + if (line.getName().equals(lineName)) + return line; + } + return null; + } + + private List<SubProcessRelation> getSubProcessRelation(Document doc, List<ProductionProcess> processes) { + List<SubProcessRelation> relations = new ArrayList<SubProcessRelation>(); + + List<SubProcess> subProcesses = new ArrayList<SubProcess>(); + for (int i = 0; i < processes.size(); i++) { + ProductionProcess process = processes.get(i); + List<Map.Entry<String, List<SubProcess>>> linear = process.getSubProcesses().entrySet().stream() + .collect(Collectors.toList()); + + for (int j = 0; j < linear.size(); j++) { + subProcesses.addAll(linear.get(j).getValue()); + } + } + + NodeList relationsNodeList = doc.getElementsByTagName("subprocessRelation"); + for (int i = 0; i < relationsNodeList.getLength(); i++) { + Node relationNode = relationsNodeList.item(i); + if (relationNode.getNodeType() == Node.ELEMENT_NODE) { + Element relationElement = (Element) relationNode; + + String source = relationElement.getAttribute("source"); + String dest = relationElement.getAttribute("destination"); + String allenOperator = relationElement.getAttribute("allensOperator"); + + SubProcessRelation relation = new SubProcessRelation(getSubProcessByName(source, subProcesses), + getSubProcessByName(dest, subProcesses), getAllenOperatorByName(allenOperator)); + relations.add(relation); + } + } + + System.out.println("\n----------------------------- SubProcess Relation -----------------------------"); + for (SubProcessRelation relation : relations) { + System.out.println(relation.toString()); + } + System.out.println("----------------------------------------------------------------------------------"); + + return relations; + } + + private List<SequenceDependentTaskInfo> getDependentSetup(Document doc, List<ProductionProcess> processes, + List<Device> devices) { + List<SequenceDependentTaskInfo> setups = new ArrayList<SequenceDependentTaskInfo>(); + + List<SubProcess> subProcesses = new ArrayList<SubProcess>(); + for (int i = 0; i < processes.size(); i++) { + ProductionProcess process = processes.get(i); + List<Map.Entry<String, List<SubProcess>>> linear = process.getSubProcesses().entrySet().stream() + .collect(Collectors.toList()); + + for (int j = 0; j < linear.size(); j++) { + subProcesses.addAll(linear.get(j).getValue()); + } + } + + NodeList setupsNodeList = doc.getElementsByTagName("sequenceDependentSetup"); + for (int i = 0; i < setupsNodeList.getLength(); i++) { + Node setupNode = setupsNodeList.item(i); + if (setupNode.getNodeType() == Node.ELEMENT_NODE) { + Element setupElement = (Element) setupNode; + + String source = setupElement.getAttribute("source"); + String dest = setupElement.getAttribute("destination"); + String deviceNamesRaw = setupElement.getAttribute("processingDevice"); + String extraProcessingTime = setupElement.getAttribute("extraProcessingTime"); + String extraEnergyConsumption = setupElement.getAttribute("extraEnergyConsumption"); + String extraMonetaryCost = setupElement.getAttribute("extraMonetaryCost"); + + final String taskId = "DependentSetUp from " + source + " to " + dest; + String[] deviceNamesRawArray = deviceNamesRaw.split(" "); + String deviceNames = deviceNamesRawArray[0] + "(" + deviceNamesRawArray[1] + ")"; + + // List<Device> sameDevices = getDevices(deviceNames, resources); + SequenceDependentTaskInfo setup = new SequenceDependentTaskInfo(Integer.parseInt(extraProcessingTime), + Integer.parseInt(extraEnergyConsumption), Integer.parseInt(extraMonetaryCost), deviceNames, + source, dest, taskId); + setups.add(setup); + } + } + + System.out.println("\n----------------------------- Dependent SetUp -----------------------------"); + for (SequenceDependentTaskInfo setUp : setups) { + + System.out.println(setUp.getFullInfo()); + } + System.out.println("----------------------------------------------------------------------------------"); + + return setups; + } + + private SubProcess getSubProcessByName(String name, List<SubProcess> subProcesses) { + for (SubProcess sub : subProcesses) { + if (sub.getName().equals(name)) + return sub; + } + + return null; + } + + private AllenOperator getAllenOperatorByName(String operator) { + for (AllenOperator op : AllenOperator.values()) { + if (op.toString().equals(operator)) { + return op; + } + } + return AllenOperator.UnDefined; + } + + private DeviceType stringToDeviceType(String typeName) { + for (DeviceType type : DeviceType.values()) { + if (type.toString().equals(typeName)) + return type; + } + + return null; + } + + private ModeType stringToModeType(String modeType) { + for (ModeType type : ModeType.values()) { + if (type.toString().equals(modeType)) + return type; + } + + return null; + } + + private Device getDeviceByName(int DeviceID, DeviceType type, ModeType mode, List<Device> resources) { + + Device device = null; + + for (Device res : resources) { + if (res.getId() == DeviceID && res.getType() == type && res.getMode() == mode) { + device = res; + } + } + + return device; + } + + private Device getDeviceByName(String name, List<Device> devices) { + for (Device device : devices) { + if (device.getName().equals(name)) { + return device; + } + } + return null; + + } + + public List<Device> getResources() { + return resources; + } + + // public int getPercentAvailability() { + // return percentAvailability; + // } + + public List<ProductionLine> getLines() { + return lines; + } + + public List<ProductionProcess> getProcesses() { + return processes; + } + + public List<SubProcessRelation> getRelations() { + return relations; + } + + public List<SequenceDependentTaskInfo> getSetups() { + return setups; + } + + public List<String> getObjectivesList() { + return objectivesList; + } + + public static void main(String args[]) { + OASXMLReader reader = new OASXMLReader(); + reader.readOASInput(); + System.out.println(); + } +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/OAS/OASXMLWriter.java b/src/main/java/uk/ac/york/safire/factoryModel/OAS/OASXMLWriter.java new file mode 100644 index 0000000000000000000000000000000000000000..249058188ac9c2f7f21bcf48f0f4ca86ce45e4ed --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/OAS/OASXMLWriter.java @@ -0,0 +1,267 @@ +package uk.ac.york.safire.factoryModel.OAS; + +import java.io.FileWriter; +import java.io.IOException; +import java.util.Arrays; +import java.util.List; +import java.util.Map; +import java.util.stream.Collectors; + +import org.jdom2.Attribute; +import org.jdom2.Document; +import org.jdom2.Element; +import org.jdom2.output.Format; +import org.jdom2.output.XMLOutputter; + +import uk.ac.york.safire.factoryModel.OAS.OASFactoryModel.AllenOperator; +import uk.ac.york.safire.optimisation.mitm.atb.SequenceDependentTaskInfo; + +public class OASXMLWriter { + + public static void main(String args[]) { + OASFactoryModel oas = new OASFactoryModel(); + oas.getOASConfiguration(); + + List<String> objectives = Arrays.asList(OASFactoryModel.objectives); + List<List<List<Device>>> devices = oas.devices; + List<ProductionLine> productionLines = oas.productionLines; + List<ProductionProcess> processes = oas.processes; + List<SubProcessRelation> relations = oas.relations; + List<SequenceDependentTaskInfo> setups = oas.setups; + + try { + Document doc = new Document(); + Element company = new Element("OASFactoryModel"); + doc.setRootElement(company); + doc.getRootElement().addContent(addObjective(objectives)); + doc.getRootElement().addContent(addProcessingDevices(devices)); + doc.getRootElement().addContent(addProductionLines(productionLines)); + doc.getRootElement().addContent(addProductionProcesses(processes)); + doc.getRootElement().addContent(addSubProcessRelation(relations)); + doc.getRootElement().addContent(addsequenceDependentSetup(setups)); + + // new XMLOutputter().output(doc, System.out); + XMLOutputter xmlOutput = new XMLOutputter(); + + // display nice nice + xmlOutput.setFormat(Format.getPrettyFormat()); + xmlOutput.output(doc, new FileWriter("input/OASConfiguration.xml")); + + System.out.println("File Saved!"); + } catch (IOException io) { + System.out.println(io.getMessage()); + } + } + + private static Element addObjective(List<String> objectives) { + Element objectiveElement = new Element("objectives"); + + for (String objective : objectives) { + Element objElement = new Element("objective"); + objElement.setAttribute(new Attribute("name", objective)); + objectiveElement.addContent(objElement); + } + + return objectiveElement; + + } + + private static Element addProcessingDevices(List<List<List<Device>>> devices) { + Element processingDevicesElement = new Element("processingDevices"); + + for (List<List<Device>> deviceInOneType : devices) { + for (List<Device> device : deviceInOneType) { + Element processingDeviceElement = new Element("processingDevice"); + processingDeviceElement.setAttribute(new Attribute("name", device.get(0).getName())); + processingDeviceElement + .setAttribute(new Attribute("availability", device.get(0).getAvailability() + "")); + Element modesElement = new Element("modes"); + for (Device deviceInOneMode : device) { + Element mode = new Element("mode"); + mode.setAttribute(new Attribute("name", deviceInOneMode.getMode().toString())); + mode.setAttribute(new Attribute("energyConsumptionPerTimeUnit", + deviceInOneMode.getEnergyConsumptionPerTimeUnit() + "")); + mode.setAttribute(new Attribute("monetaryCostPerTimeUnit", + deviceInOneMode.getMonetaryCostPerTimeUnit() + "")); + modesElement.addContent(mode); + } + processingDeviceElement.addContent(modesElement); + + String notAvailables = device.get(0).getNotavailbaileTime(); + + List<String> notAvailablesToString = Arrays.asList(notAvailables.split(" ")); + + Element unavailableTimesElement = new Element("unavailableTimes"); + for (String aTime : notAvailablesToString) { + Element unavailableTimeElement = new Element("unavailableTime"); + unavailableTimeElement.addContent(aTime); + unavailableTimesElement.addContent(unavailableTimeElement); + } + processingDeviceElement.addContent(unavailableTimesElement); + + processingDevicesElement.addContent(processingDeviceElement); + } + } + + // processingDevicesElement.addContent(new + // Element("percentAvailability").setText(100 + "")); + return processingDevicesElement; + + } + + private static Element addProductionLines(List<ProductionLine> lines) { + Element productionLinesElement = new Element("productionLines"); + + for (ProductionLine line : lines) { + Element productionLineElement = new Element("productionLine"); + productionLineElement.setAttribute(new Attribute("name", line.getName())); + + Element productionLineProcessingDevicesElement = new Element("productionLineProcessingDevices"); + + for (String device : line.getDeviceNames()) { + Element productionLineProcessingDeviceElement = new Element("productionLineProcessingDevice"); + productionLineProcessingDeviceElement + .setAttribute(new Attribute("order", "" + line.getDeviceNames().indexOf(device))); + productionLineProcessingDeviceElement.setAttribute(new Attribute("name", "" + device)); + + productionLineProcessingDevicesElement.addContent(productionLineProcessingDeviceElement); + } + + productionLineElement.addContent(productionLineProcessingDevicesElement); + productionLinesElement.addContent(productionLineElement); + + } + + return productionLinesElement; + + } + + private static Element addProductionProcesses(List<ProductionProcess> processes) { + Element productionProcessesElement = new Element("productionProcesses"); + + for (ProductionProcess process : processes) { + Element productionProcessElement = new Element("productionProcess"); + productionProcessElement.setAttribute(new Attribute("name", process.getKey())); + productionProcessElement.setAttribute(new Attribute("priority", process.getUrgency()+"")); + + List<Map.Entry<String, List<ProductionLine>>> linear = process.getCompitableResource().entrySet().stream() + .collect(Collectors.toList()); + linear.sort((p1, p2) -> p1.getKey().compareTo(p2.getKey())); + + Element processTypesElement = new Element("processTypes"); + for (int i = 0; i < linear.size(); i++) { + Element typeElement = new Element("processType"); + typeElement.setAttribute(new Attribute("name", linear.get(i).getKey())); + typeElement.setAttribute( + new Attribute("amountProduced", process.getAmountProduced().get(linear.get(i).getKey()) + "t")); + Element comptiableProductionLinesElement = new Element("comptiableProductionLines"); + + for (ProductionLine line : linear.get(i).getValue()) { + Element lineElement = new Element("comptiableProductionLine"); + lineElement.setText(line.getName()); + comptiableProductionLinesElement.addContent(lineElement); + } + typeElement.addContent(comptiableProductionLinesElement); + + Element subProcessesElement = new Element("subprocesses"); + for (SubProcess subProcess : process.getSubProcesses().get(linear.get(i).getKey())) { + Element subProcessElement = new Element("subprocess"); + subProcessElement.setAttribute(new Attribute("name", subProcess.getName())); +// subProcessElement.setAttribute(new Attribute("priority", subProcess.getPriority() + "")); + + int counter = 0; + for (List<Device> subProcessGroup : subProcess.getSubProcessGroup()) { + Element subprocessProcessingDevicesGroupElement = new Element( + "subprocessProcessingDevicesGroup"); + subprocessProcessingDevicesGroupElement.setAttribute(new Attribute("processingTime", + subProcess.getProcessingTimes().get(counter).toString())); + // subprocessProcessingDevicesGroupElement.setAttribute(new + // Attribute("energyCost", + // subProcess.getEnergyCosts().get(counter).toString())); + // subprocessProcessingDevicesGroupElement.setAttribute(new + // Attribute("montaryCost", + // subProcess.getMontaryCosts().get(counter).toString())); + // Element subprocessProcessingDevicesElement = new + // Element("subprocessProcessingDevices"); + + for (Device device : subProcessGroup) { + Element subprocessProcessingDeviceElement = new Element("subprocessProcessingDevice"); + subprocessProcessingDeviceElement.setAttribute(new Attribute("name", device.getName())); + subprocessProcessingDeviceElement + .setAttribute(new Attribute("mode", device.getMode().toString())); + // subprocessProcessingDeviceElement + // .setAttribute(new Attribute("processingTime", device.getProcessingTime() + + // "")); + // subprocessProcessingDeviceElement + // .setAttribute(new Attribute("energyConsumption", + // device.getEnergyConsumption() + "")); + // subprocessProcessingDeviceElement.setAttribute(new Attribute("monetaryCost", + // device.getMonetaryCost() + "")); + subprocessProcessingDevicesGroupElement.addContent(subprocessProcessingDeviceElement); + } + + // subprocessProcessingDevicesGroupElement.addContent(subprocessProcessingDevicesElement); + subProcessElement.addContent(subprocessProcessingDevicesGroupElement); + + counter++; + } + + subProcessesElement.addContent(subProcessElement); + } + + typeElement.addContent(subProcessesElement); + + processTypesElement.addContent(typeElement); + } + + productionProcessElement.addContent(processTypesElement); + + // productionProcessElement.addContent(subProcessesElement); + productionProcessesElement.addContent(productionProcessElement); + } + return productionProcessesElement; + } + + private static Element addSubProcessRelation(List<SubProcessRelation> relations) { + Element subprocessRelationsElement = new Element("subprocessRelations"); + + for (SubProcessRelation relation : relations) { + if (relation.getRelation() != AllenOperator.UnDefined) { + Element subprocessRelationElement = new Element("subprocessRelation"); + subprocessRelationElement.setAttribute(new Attribute("source", relation.getSource().getName())); + subprocessRelationElement + .setAttribute(new Attribute("destination", relation.getDestination().getName())); + subprocessRelationElement + .setAttribute(new Attribute("allensOperator", relation.getRelation().toString())); + + subprocessRelationsElement.addContent(subprocessRelationElement); + } + + } + return subprocessRelationsElement; + } + + private static Element addsequenceDependentSetup(List<SequenceDependentTaskInfo> setups) { + Element sequenceDependentSetupsElement = new Element("sequenceDependentSetups"); + + for (SequenceDependentTaskInfo setup : setups) { + + Element setupElement = new Element("sequenceDependentSetup"); + setupElement.setAttribute(new Attribute("source", setup.lastTaskPrefix)); + setupElement.setAttribute(new Attribute("destination", setup.nextTaskPrefix)); + + String[] deviceName = setup.resource.split("\\("); + String[] deviceNumber = deviceName[1].split("\\)"); + + setupElement.setAttribute(new Attribute("processingDevice", deviceName[0] + " " + deviceNumber[0])); + setupElement.setAttribute(new Attribute("extraProcessingTime", setup.duration + "")); + setupElement.setAttribute(new Attribute("extraEnergyConsumption", setup.energyCost + "")); + setupElement.setAttribute(new Attribute("extraMonetaryCost", setup.montaryCost + "")); + + sequenceDependentSetupsElement.addContent(setupElement); + + } + return sequenceDependentSetupsElement; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/OAS/ProcessingDevice.java b/src/main/java/uk/ac/york/safire/factoryModel/OAS/ProcessingDevice.java new file mode 100644 index 0000000000000000000000000000000000000000..c9b4fc2321511d9f282229427ea9ea72b5e1f79c --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/OAS/ProcessingDevice.java @@ -0,0 +1,26 @@ +package uk.ac.york.safire.factoryModel.OAS; + +public class ProcessingDevice { + + int processingTime = 0; + Device device; + + public ProcessingDevice(Device device, int processingTime) { + this.device = device; + this.processingTime = processingTime; + } + + public int getProcessingTime() { + return processingTime; + } + + public Device getDevice() { + return device; + } + + @Override + public String toString() { + return device.toString(); + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/OAS/ProductionLine.java b/src/main/java/uk/ac/york/safire/factoryModel/OAS/ProductionLine.java new file mode 100644 index 0000000000000000000000000000000000000000..25fb61c0b62793d8894632455d29594063230e71 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/OAS/ProductionLine.java @@ -0,0 +1,62 @@ +package uk.ac.york.safire.factoryModel.OAS; + +import java.util.ArrayList; +import java.util.List; + +public class ProductionLine { + + int id; + String name; + + List<Integer> deviceIDs; + + List<String> deviceNames; + + List<Device> devices; + + public ProductionLine(int id, List<Device> productionLine) { + this.id = id; + this.name = "ProductionLine" + " " + this.id; + this.devices = productionLine; + + this.deviceIDs = new ArrayList<Integer>(); + this.deviceNames = new ArrayList<String>(); + + for (Device device : productionLine) { + deviceIDs.add(device.getId()); + deviceNames.add(device.getName()); + } + + } + + public String getName() { + return this.name; + } + + public int getId() { + return id; + } + + public List<Integer> getDeviceIDs() { + return deviceIDs; + } + + public List<String> getDeviceNames() { + return deviceNames; + } + + public List<Device> getDevices() { + return devices; + } + + @Override + public String toString() { + return name + " " + deviceNames.toString(); + + } + + public String resourceName() { + return "Silo(" + deviceIDs.get(0) + ") Mixer(" + deviceIDs.get(1) + ") Tank(" + deviceIDs.get(2) + ")"; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/OAS/ProductionProcess.java b/src/main/java/uk/ac/york/safire/factoryModel/OAS/ProductionProcess.java new file mode 100644 index 0000000000000000000000000000000000000000..ee80774dfed6f6cf551feb41b510cd43c29c5427 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/OAS/ProductionProcess.java @@ -0,0 +1,196 @@ +package uk.ac.york.safire.factoryModel.OAS; + +import java.util.ArrayList; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.stream.Collectors; + +import uk.ac.york.safire.factoryModel.OAS.OASFactoryModel.DeviceType; + +public class ProductionProcess { + + int id; + String name; + String product; + String amount; + int urgency; + + Map<String, List<ProductionLine>> compitableResource; + Map<String, Integer> AmountProduced; + Map<String, List<SubProcess>> subProcesses; + + public ProductionProcess(int id, String name, String product, String amount, int urgency, List<DeviceType[]> types, + Map<String, List<ProductionLine>> compitableResource, Map<String, Integer> AmountProduced, + List<List<List<Device>>> devices, List<List<List<Integer>>> processingTimes) { + this.id = id; + this.name = name; + this.product = product; + this.urgency = urgency; + + this.amount = amount; + this.compitableResource = compitableResource; + this.AmountProduced = AmountProduced; + + assert (compitableResource.size() == AmountProduced.size()); + assert (devices.size() == processingTimes.size()); + + List<SubProcess> subProcessesInAll = new ArrayList<SubProcess>(); + for (int i = 0; i < devices.size(); i++) { + subProcessesInAll + .add(new SubProcess(i, name + " Task", types.get(i), devices.get(i), processingTimes.get(i), this)); + } + + generateSubProcesses(compitableResource, subProcessesInAll); + } + + public ProductionProcess(int id, String name, String product, String amount, int urgency, + Map<String, List<ProductionLine>> compitableResource, Map<String, Integer> AmountProduced, + Map<String, List<SubProcess>> rawSubProcess) { + this.id = id; + this.name = name; + this.product = product; + this.urgency = urgency; + this.amount = amount; + this.compitableResource = compitableResource; + this.AmountProduced = AmountProduced; + + assert (compitableResource.size() == AmountProduced.size()); + + List<Map.Entry<String, List<SubProcess>>> linear = rawSubProcess.entrySet().stream() + .collect(Collectors.toList()); + + for (Map.Entry<String, List<SubProcess>> entry : linear) { + List<SubProcess> spList = entry.getValue(); + for (int i = 0; i < spList.size(); i++) { + spList.get(i).process = this; + } + } + + this.subProcesses = rawSubProcess; + } + + private void generateSubProcesses(Map<String, List<ProductionLine>> compitableResource, + List<SubProcess> subProcessesInAll) { + subProcesses = new HashMap<>(); + + List<Map.Entry<String, List<ProductionLine>>> linear = compitableResource.entrySet().stream() + .collect(Collectors.toList()); + + linear.sort((p1, p2) -> p1.getKey().compareTo(p2.getKey())); + + for (Map.Entry<String, List<ProductionLine>> entry : linear) { + String processType = entry.getKey(); + List<ProductionLine> lines = entry.getValue(); + this.subProcesses.put(processType, getSubProcessByType(subProcessesInAll, lines, processType)); + } + + } + + private List<SubProcess> getSubProcessByType(List<SubProcess> subProcessesInAll, List<ProductionLine> lines, + String name) { + List<SubProcess> subProcesses = new ArrayList<SubProcess>(); + for (SubProcess sp : subProcessesInAll) { + subProcesses.add(new SubProcess(sp, name)); + } + + List<Device> compitableDevices = new ArrayList<>(); + + for (ProductionLine line : lines) { + for (Device device : line.devices) { + if (!compitableDevices.contains(device)) + compitableDevices.add(device); + } + } + + for (SubProcess sp : subProcesses) { + List<List<Device>> spDevices = sp.getSubProcessGroup(); + + for (int i = 0; i < spDevices.size(); i++) { + List<Device> deviceInOneSubGroup = spDevices.get(i); + boolean isCompitable = true; + + for (Device pDevice : deviceInOneSubGroup) { + if (!isContain(compitableDevices, pDevice)) { + isCompitable = false; + break; + } + } + + if (!isCompitable) { + spDevices.remove(i); + i--; + } + } + + } + + return subProcesses; + } + + boolean isContain(List<Device> compitableDevices, Device device) { + + for (Device comptiableDevice : compitableDevices) { + if (comptiableDevice.getName().equals(device.getName())) + return true; + } + + return false; + + } + + public int getId() { + return id; + } + + public String getName() { + return name; + } + + public String getProduct() { + return product; + } + + public String getAmount() { + return amount; + } + + public Map<String, List<ProductionLine>> getCompitableResource() { + return compitableResource; + } + + public Map<String, Integer> getAmountProduced() { + return AmountProduced; + } + + public Map<String, List<SubProcess>> getSubProcesses() { + return subProcesses; + } + + public String getKey() { + return name + " " + amount; + } + + public int getUrgency() { + return urgency; + } + + @Override + public String toString() { + String out = "Process: " + name + "\n"; + List<Map.Entry<String, List<SubProcess>>> linear = subProcesses.entrySet().stream() + .collect(Collectors.toList()); + + for (Map.Entry<String, List<SubProcess>> entry : linear) { + out += entry.getKey() + "\n"; + List<SubProcess> spList = entry.getValue(); + for (SubProcess sp : spList) { + out += sp.toString() + "\n"; + } + + } + + return out; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/OAS/SubProcess.java b/src/main/java/uk/ac/york/safire/factoryModel/OAS/SubProcess.java new file mode 100644 index 0000000000000000000000000000000000000000..545eed48aee5037093c5eefbfdb3c7c0e802d783 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/OAS/SubProcess.java @@ -0,0 +1,167 @@ +package uk.ac.york.safire.factoryModel.OAS; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.List; + +import uk.ac.york.safire.factoryModel.OAS.OASFactoryModel.DeviceType; + +public class SubProcess { + int id; + String name; +// int priority; + ProductionProcess process; + + DeviceType[] type; + List<List<Device>> subProcessGroup; + + List<Integer> processingTimes; + List<Integer> energyCosts; + List<Integer> montaryCosts; + + public SubProcess(int id, String name, DeviceType[] type, List<List<Device>> devices, + List<List<Integer>> processingTimes, ProductionProcess process) { + this.id = id + 1; + this.name = name + " " + this.id; +// this.priority = OASFactoryModel.ran.nextInt(OASFactoryModel.MAX_PRIORITY) + 1; + this.type = type; + this.subProcessGroup = new ArrayList<List<Device>>(); + this.process = process; + + this.processingTimes = new ArrayList<>(); + this.energyCosts = new ArrayList<>(); + this.montaryCosts = new ArrayList<>(); + + initCost(devices, processingTimes); + } + + public SubProcess(int id, String name, DeviceType[] type, List<List<Device>> devices, + List<Integer> processingTimes) { + this.id = id + 1; + this.name = name + " " + this.id; +// this.priority = OASFactoryModel.ran.nextInt(OASFactoryModel.MAX_PRIORITY) + 1; + this.type = type; + this.process = null; + + this.subProcessGroup = new ArrayList<List<Device>>(); + + this.processingTimes = new ArrayList<>(processingTimes); + this.energyCosts = new ArrayList<>(); + this.montaryCosts = new ArrayList<>(); + + initCostForRead(devices, processingTimes); + } + + public SubProcess(SubProcess subProcess, String name) { + this.id = subProcess.id; + this.name = name + " Task " + id; + this.type = subProcess.type.clone(); +// this.priority = subProcess.priority; + this.process = subProcess.process; + + this.subProcessGroup = new ArrayList<List<Device>>(); + for (List<Device> subGourp : subProcess.subProcessGroup) { + subProcessGroup.add(new ArrayList<Device>(subGourp)); + } + this.processingTimes = new ArrayList<Integer>(subProcess.processingTimes); + this.energyCosts = new ArrayList<Integer>(subProcess.energyCosts); + this.montaryCosts = new ArrayList<Integer>(subProcess.montaryCosts); + + } + + public void initCost(List<List<Device>> devices, List<List<Integer>> processingTimes) { + assert (devices.size() == processingTimes.size()); + + for (int i = 0; i < devices.size(); i++) { + assert (devices.get(i).size() == processingTimes.get(i).size()); + + subProcessGroup.add(devices.get(i)); + this.processingTimes.add(Collections.min(processingTimes.get(i))); + } + + for (int i = 0; i < subProcessGroup.size(); i++) { + List<Device> oneGroup = subProcessGroup.get(i); + + int energyCost = 0; + int montaryCost = 0; + + for (Device d : oneGroup) { + energyCost += this.processingTimes.get(i) * d.getEnergyConsumptionPerTimeUnit(); + montaryCost += this.processingTimes.get(i) * d.getMonetaryCostPerTimeUnit(); + } + + this.energyCosts.add(energyCost); + this.montaryCosts.add(montaryCost); + } + } + + public void initCostForRead(List<List<Device>> devices, List<Integer> processingTimes) { + assert (devices.size() == processingTimes.size()); + + for (int i = 0; i < devices.size(); i++) { + subProcessGroup.add(devices.get(i)); + } + + for (int i = 0; i < subProcessGroup.size(); i++) { + List<Device> oneGroup = subProcessGroup.get(i); + + int energyCost = 0; + int montaryCost = 0; + + for (Device d : oneGroup) { + energyCost += this.processingTimes.get(i) * d.getEnergyConsumptionPerTimeUnit(); + montaryCost += this.processingTimes.get(i) * d.getMonetaryCostPerTimeUnit(); + } + + this.energyCosts.add(energyCost); + this.montaryCosts.add(montaryCost); + } + } + + public int getId() { + return id; + } + + public String getName() { + return name; + } + + public List<List<Device>> getSubProcessGroup() { + return subProcessGroup; + } + + public DeviceType[] getType() { + return type; + } + +// public int getPriority() { +// return priority; +// } + + public ProductionProcess getProcess() { + return process; + } + + public List<Integer> getProcessingTimes(){ + return processingTimes; + } + + public List<Integer> getEnergyCosts(){ + return energyCosts; + } + + public List<Integer> getMontaryCosts(){ + return montaryCosts; + } + + @Override + public String toString() { + String out = "SubProcess: " + name+ "\n"; + for (int i = 0; i < subProcessGroup.size(); i++) { + out += "SubProcessingGoup: " + subProcessGroup.get(i).toString() + " Cost: " + this.processingTimes.get(i) + + " " + this.energyCosts.get(i) + " " + this.montaryCosts.get(i) + " \n"; + } + return out; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/OAS/SubProcessRelation.java b/src/main/java/uk/ac/york/safire/factoryModel/OAS/SubProcessRelation.java new file mode 100644 index 0000000000000000000000000000000000000000..953bf27ab86ddc91ffc11240801f8197e36197d3 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/OAS/SubProcessRelation.java @@ -0,0 +1,36 @@ +package uk.ac.york.safire.factoryModel.OAS; + +import java.util.Arrays; + +import uk.ac.york.safire.factoryModel.OAS.OASFactoryModel.AllenOperator; + +public class SubProcessRelation { + + SubProcess source; + SubProcess destination; + AllenOperator relation; + + public SubProcessRelation(SubProcess source, SubProcess destination, AllenOperator relation) { + this.source = source; + this.destination = destination; + this.relation = relation; + } + + public SubProcess getSource() { + return source; + } + + public SubProcess getDestination() { + return destination; + } + + public AllenOperator getRelation() { + return relation; + } + + @Override + public String toString() { + return "SubProcessRelation: Source: " + source.name + " " + Arrays.asList(source.type).toString() + " Destination: " + destination.name + " " + + Arrays.asList(destination.type).toString() + " relation: " + relation.toString(); + } +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/OAS/SubProcessRelationPattern.java b/src/main/java/uk/ac/york/safire/factoryModel/OAS/SubProcessRelationPattern.java new file mode 100644 index 0000000000000000000000000000000000000000..249ca8fa20a4060b48a27d09bec6408e3d78518c --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/OAS/SubProcessRelationPattern.java @@ -0,0 +1,38 @@ +package uk.ac.york.safire.factoryModel.OAS; + +import java.util.Arrays; + +import uk.ac.york.safire.factoryModel.OAS.OASFactoryModel.AllenOperator; +import uk.ac.york.safire.factoryModel.OAS.OASFactoryModel.DeviceType; + +public class SubProcessRelationPattern { + + DeviceType[] source; + DeviceType[] destination; + AllenOperator relation; + + public SubProcessRelationPattern(DeviceType[] source, DeviceType[] destination, AllenOperator relation) { + this.source = source; + this.destination = destination; + this.relation = relation; + } + + public DeviceType[] getSource() { + return source; + } + + public DeviceType[] getDestination() { + return destination; + } + + public AllenOperator getRelation() { + return relation; + } + + @Override + public String toString() { + return "SubProcessRelation: Source: " + Arrays.asList(source).toString() + " Destination: " + Arrays.asList(destination).toString() + " relation: " + + relation.toString(); + } + +} \ No newline at end of file diff --git a/src/main/java/uk/ac/york/safire/factoryModel/OAS/Util.java b/src/main/java/uk/ac/york/safire/factoryModel/OAS/Util.java new file mode 100644 index 0000000000000000000000000000000000000000..ebb6aa4f9fe8e2a15adbdf271a55dc8689d3da6e --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/OAS/Util.java @@ -0,0 +1,70 @@ +package uk.ac.york.safire.factoryModel.OAS; + +import java.util.ArrayList; +import java.util.List; + +public class Util { + + static List<List<String>> getCombine(List<String> s1, List<String> s2) { + List<List<String>> result = new ArrayList<List<String>>(); + + for (int i = 0; i < s1.size(); i++) { + for (int j = 0; j < s2.size(); j++) { + List<String> com = new ArrayList<String>(); + com.add(s1.get(i)); + com.add(s2.get(j)); + result.add(com); + + } + } + + return result; + } + + public static void main(String args[]) { + List<List<Integer>> intLists = new ArrayList<>(); + List<Integer> intList1 = new ArrayList<>(); + intList1.add(0); + intList1.add(50); + List<Integer> intList2 = new ArrayList<>(); + intList2.add(0); + intList2.add(80); + List<Integer> intList3 = new ArrayList<>(); + intList3.add(50); + intList3.add(100); + List<Integer> intList4 = new ArrayList<>(); + intList4.add(200); + intList4.add(300); + intLists.add(intList1); + intLists.add(intList2); + intLists.add(intList3); + intLists.add(intList4); + + System.out.println(intLists); + + removeContainedOnes(intLists); + + System.out.println(intLists); + + } + + public static void removeContainedOnes(List<List<Integer>> intLists) { + + List<List<Integer>> intListsCopy = new ArrayList<List<Integer>>(intLists); + + for (int i = 0; i < intLists.size(); i++) { + int startTime = intLists.get(i).get(0); + int endTime = intLists.get(i).get(1); + + for (int j = i; j < intLists.size(); j++) { + int startTime1 = intLists.get(j).get(0); + int endTime1 = intLists.get(j).get(1); + + + } + + } + + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/ONA/DependentSetupPattern.java b/src/main/java/uk/ac/york/safire/factoryModel/ONA/DependentSetupPattern.java new file mode 100644 index 0000000000000000000000000000000000000000..64073def965b0c6e787470aa9ac5dfad4dcc45a0 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/ONA/DependentSetupPattern.java @@ -0,0 +1,76 @@ +package uk.ac.york.safire.factoryModel.ONA; + +import java.util.Arrays; +import java.util.List; + +import uk.ac.york.safire.factoryModel.ONA.ONAFactoryModel.DeviceType; + +public class DependentSetupPattern { + + int processingTime = 0; + int energyConsumption = 0; + int monetaryCost = 0; + + DeviceType[] source; + DeviceType[] destination; + + public DependentSetupPattern(DeviceType[] source, DeviceType[] destination, List<Integer> parameters) { + this.source = source; + this.destination = destination; + + switch (parameters.size()) { + case 1: + this.processingTime = parameters.get(0); + break; + case 2: + this.processingTime = parameters.get(0); + this.energyConsumption = parameters.get(1); + break; + case 3: + this.processingTime = parameters.get(0); + this.energyConsumption = parameters.get(1); + this.monetaryCost = parameters.get(2); + break; + + default: + break; + } + } + + public DependentSetupPattern(DeviceType[] source, DeviceType[] destination, int processingTime, int energyConsumption, int monetaryCost) { + this.source = source; + this.destination = destination; + + this.processingTime = processingTime; + this.energyConsumption = energyConsumption; + this.monetaryCost = monetaryCost; + + } + + public DeviceType[] getSource() { + return source; + } + + public DeviceType[] getDestination() { + return destination; + } + + public int getProcessingTime() { + return processingTime; + } + + public int getEnergyConsumption() { + return energyConsumption; + } + + public int getMonetaryCost() { + return monetaryCost; + } + + @Override + public String toString() { + return "Dependent Setup: Source: " + Arrays.asList(source).toString() + " Destination: " + Arrays.asList(destination).toString() + " processingTime: " + processingTime + + " energyConsumption: " + energyConsumption + " monetaryCost: " + monetaryCost; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/ONA/Device.java b/src/main/java/uk/ac/york/safire/factoryModel/ONA/Device.java new file mode 100644 index 0000000000000000000000000000000000000000..df92eb81a049d116207fe92f519961f02677c6de --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/ONA/Device.java @@ -0,0 +1,47 @@ +package uk.ac.york.safire.factoryModel.ONA; + +import uk.ac.york.safire.factoryModel.ONA.ONAFactoryModel.DeviceType; + +public class Device { + + int id; + String name; + DeviceType type; + + int availability = 0; + String notavailbaileTime; + + public Device(int id, DeviceType type, int availability, String notavailbaileTime) { + this.id = id; + this.name = type.toString() + " " + this.id; + this.type = type; + this.availability = availability; + this.notavailbaileTime = notavailbaileTime; + } + + @Override + public String toString() { + return this.name + " "; + } + + public int getId() { + return id; + } + + public DeviceType getType() { + return type; + } + + public String getName() { + return name; + } + + public int getAvailability() { + return availability; + } + + public String getNotavailbaileTime() { + return notavailbaileTime; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/ONA/ONAFactoryModel.java b/src/main/java/uk/ac/york/safire/factoryModel/ONA/ONAFactoryModel.java new file mode 100644 index 0000000000000000000000000000000000000000..6f9866c6be4884b4e4b9efa95235a5dba2ee2812 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/ONA/ONAFactoryModel.java @@ -0,0 +1,851 @@ +package uk.ac.york.safire.factoryModel.ONA; + +import java.util.ArrayList; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Random; +import java.util.Set; +import java.util.stream.Collectors; + +import org.apache.commons.lang3.tuple.Triple; +import org.apache.commons.math3.util.Pair; + +import uk.ac.york.safire.optimisation.mitm.atb.SequenceDependentTaskInfo; + +public class ONAFactoryModel { + + /********************************************************************************************************************/ + + public static boolean runWith14 = true; + + public static Random ran = new Random(); + + public static enum DeviceType { + Small, Medium, Large + } + + public static enum AllenOperator { + M, UnDefined/* , LT, S, F, EQ, O, D */ + } + + public static int[] NUMBER_OF_DEVICES = { 4, 4, 4 }; + + public static String[] PRODUCTIONS = null; + + public static int numberOfCuts = 3; + + public static int setupProcessingTime = 10; + public static int setupEnergy = 10; + public static int setupMonetary = 1000; + + public static String[] objectives = { "makespan", "energy" , "montary"/*, "urgency"*/}; + + public static String getDefaultNotAvailableTime() { + return ""; + } + + public static void main(String args[]) { + ONAFactoryModel ona = new ONAFactoryModel(); + ona.getONAConfiguration(); + System.out.println("done"); + } + + /********************************************************************************************************************/ + + public List<List<Device>> devices; + public List<ProductionProcess> processes; + public List<SubProcessRelation> relations; + public List<SequenceDependentTaskInfo> setups; + + public void getONAConfiguration() { + int NoP = runWith14 ? 14 : 16; + + PRODUCTIONS = new String[NoP]; + for (int i = 0; i < NoP; i++) { + PRODUCTIONS[i] = "P" + (i + 1); + } + + /** + * Devices + */ + devices = new ArrayList<List<Device>>(); + + for (int deviceType = 0; deviceType < DeviceType.values().length; deviceType++) { + List<Device> devicesForOneType = new ArrayList<Device>(); + + for (int i = 0; i < NUMBER_OF_DEVICES[deviceType]; i++) { + int id = i + 1; + + devicesForOneType.add(new Device(id, DeviceType.values()[deviceType], 1, getDefaultNotAvailableTime())); + } + + devices.add(devicesForOneType); + + } + + System.out.println("----------------------------- Devices -----------------------------"); + for (List<Device> oneType : devices) { + for (Device d : oneType) { + System.out.println(d.toString()); + } + System.out.println(); + } + System.out.println("--------------------------------------------------------------------"); + + /** + * Production Processes + */ + processes = new ArrayList<>(); + + Map<Pair<String, String>, Integer> processingTimes = generateProcessingTimes(); + Map<Pair<String, String>, Double> montarys = generateMontarys(); + + for (int productionNumber = 0; productionNumber < PRODUCTIONS.length; productionNumber++) { + String productionProcessName = PRODUCTIONS[productionNumber]; + + List<Device> compitables = generateCompitables(productionProcessName); + List<Integer> processingTime = new ArrayList<>(); + List<Integer> montary = new ArrayList<>(); + List<Integer> energy = new ArrayList<>(); + + for (Device d : compitables) { + Pair<String, String> key = Pair.create(productionProcessName, d.getName()); + int processTimeGet = processingTimes.get(key); + int energyGet = 0; + int montaryGet = (int) montarys.get(key).doubleValue(); + + switch (d.getName().split(" ")[0]) { + case "Small": + energyGet = 60; + break; + case "Medium": + energyGet = 90; + break; + case "Large": + + energyGet = 120; + break; + + default: + break; + } + + processingTime.add(processTimeGet); + montary.add(montaryGet); + energy.add(energyGet); + } + + ProductionProcess process = new ProductionProcess(productionProcessName, compitables, processingTime, + energy, montary, numberOfCuts, productionNumber + 1, 1); + processes.add(process); + } + + System.out.println("\n----------------------------- Production Processes-----------------------------"); + for (ProductionProcess process : processes) { + System.out.println(process.toString()); + } + System.out.println("----------------------------------------------------------------------------------"); + + /** + * Subprocess Relations + */ + + relations = new ArrayList<SubProcessRelation>(); + + for(ProductionProcess production : processes) { + + for(int i=0; i<production.getSubProcesses().size()-1;i++) { + SubProcess source = production.getSubProcesses().get(i); + SubProcess target = production.getSubProcesses().get(i+1); + + SubProcessRelation relation = new SubProcessRelation(source, target, AllenOperator.M); + relations.add(relation); + } + } + + System.out.println("\n----------------------------- Subprocess Relation -----------------------------"); + for (SubProcessRelation relation : relations) { + System.out.println(relation.toString()); + } + System.out.println("----------------------------------------------------------------------------------"); + + + /** + * Dependent Setup + */ + + Map<String, List<Device>> resourcesUsedBySubProcesses = new HashMap<>(); + for (int i = 0; i < processes.size(); i++) { + ProductionProcess process = processes.get(i); + resourcesUsedBySubProcesses.put(process.getName(), process.compitableResource); + } + + final List<Triple<String, String, Set<String>>> sharedResources = new ArrayList<>(); + + for (int i = 0; i < processes.size(); i++) { + for (int j = 0; j < processes.size(); j++) { + + String source = processes.get(i).getName(); + String target = processes.get(j).getName(); + + if (j == i) + continue; + + final List<String> sourcecompatNestedList = resourcesUsedBySubProcesses.get(source).stream() + .map(c -> c.getName()).collect(Collectors.toList()); + final Set<String> sourcecompat = sourcecompatNestedList.stream().collect(Collectors.toSet()); + + final List<String> targetcompatNestedList = resourcesUsedBySubProcesses.get(target).stream() + .map(c -> c.getName()).collect(Collectors.toList()); + final Set<String> targetcompat = targetcompatNestedList.stream().collect(Collectors.toSet()); + + sourcecompat.retainAll(targetcompat); + + if (!sourcecompat.isEmpty()) + sharedResources.add(Triple.of(source, target, sourcecompat)); + } + } + + setups = new ArrayList<SequenceDependentTaskInfo>(); + for (int i = 0; i < sharedResources.size(); ++i) { + final String source = sharedResources.get(i).getLeft(); + final String target = sharedResources.get(i).getMiddle(); + final Set<String> compatibleResources = sharedResources.get(i).getRight(); + + for (String resource : compatibleResources) { + final String taskId = "DependentSetUp from " + source + " to " + target; + setups.add(new SequenceDependentTaskInfo(setupProcessingTime, setupEnergy, setupMonetary, resource, + source, target, taskId)); + } + } + + System.out.println("\n----------------------------- Dependent SetUp -----------------------------"); + for (SequenceDependentTaskInfo setUp : setups) { + + System.out.println(setUp.getFullInfo()); + } + System.out.println("----------------------------------------------------------------------------------"); + + } + + private List<Device> generateCompitables(String productionName) { + + List<Device> comptiables = new ArrayList<>(); + + switch (productionName) { + case "P1": + comptiables.addAll(devices.get(0)); + comptiables.addAll(devices.get(1)); + comptiables.addAll(devices.get(2)); + break; + case "P2": + comptiables.addAll(devices.get(0)); + comptiables.addAll(devices.get(1)); + comptiables.addAll(devices.get(2)); + break; + case "P3": + comptiables.addAll(devices.get(1)); + comptiables.addAll(devices.get(2)); + break; + case "P4": + comptiables.addAll(devices.get(1)); + comptiables.addAll(devices.get(2)); + break; + case "P5": + comptiables.addAll(devices.get(1)); + comptiables.addAll(devices.get(2)); + break; + case "P6": + comptiables.addAll(devices.get(1)); + comptiables.addAll(devices.get(2)); + break; + case "P7": + comptiables.addAll(devices.get(2)); + break; + case "P8": + comptiables.addAll(devices.get(2)); + break; + case "P9": + comptiables.addAll(devices.get(2)); + break; + case "P10": + comptiables.addAll(devices.get(2)); + break; + case "P11": + comptiables.addAll(devices.get(2)); + break; + case "P12": + comptiables.addAll(devices.get(2)); + break; + case "P13": + comptiables.addAll(devices.get(2)); + break; + case "P14": + comptiables.addAll(devices.get(2)); + break; + default: + break; + } + + if (productionName.equals("P15") || productionName.equals("P16")) { + comptiables.addAll(devices.get(2)); + } + + return comptiables; + } + + private Map<Pair<String, String>, Double> generateMontarys() { + Map<Pair<String, String>, Double> recipeAndResourceNameToCost = new HashMap<>(); + + recipeAndResourceNameToCost.put(Pair.create("P1", "Small 2"), 192.1); + recipeAndResourceNameToCost.put(Pair.create("P1", "Small 1"), 168.4); + recipeAndResourceNameToCost.put(Pair.create("P1", "Small 4"), 175.9); + recipeAndResourceNameToCost.put(Pair.create("P1", "Small 3"), 167.0); + + recipeAndResourceNameToCost.put(Pair.create("P1", "Medium 2"), 273.1); + recipeAndResourceNameToCost.put(Pair.create("P1", "Medium 1"), 238.6); + recipeAndResourceNameToCost.put(Pair.create("P1", "Medium 4"), 237.1); + recipeAndResourceNameToCost.put(Pair.create("P1", "Medium 3"), 230.0); + + recipeAndResourceNameToCost.put(Pair.create("P1", "Large 2"), 596.9); + recipeAndResourceNameToCost.put(Pair.create("P1", "Large 1"), 519.3); + recipeAndResourceNameToCost.put(Pair.create("P1", "Large 4"), 481.6); + recipeAndResourceNameToCost.put(Pair.create("P1", "Large 3"), 462.1); + + + + recipeAndResourceNameToCost.put(Pair.create("P2", "Small 2"), 305.5); + recipeAndResourceNameToCost.put(Pair.create("P2", "Small 1"), 265.6); + recipeAndResourceNameToCost.put(Pair.create("P2", "Small 4"), 283.1); + recipeAndResourceNameToCost.put(Pair.create("P2", "Small 3"), 262.2); + + recipeAndResourceNameToCost.put(Pair.create("P2", "Medium 2"), 434.2); + recipeAndResourceNameToCost.put(Pair.create("P2", "Medium 1"), 376.3); + recipeAndResourceNameToCost.put(Pair.create("P2", "Medium 4"), 381.5); + recipeAndResourceNameToCost.put(Pair.create("P2", "Medium 3"), 361.1); + + recipeAndResourceNameToCost.put(Pair.create("P2", "Large 2"), 949.1); + recipeAndResourceNameToCost.put(Pair.create("P2", "Large 1"), 819.0); + recipeAndResourceNameToCost.put(Pair.create("P2", "Large 4"), 775.0); + recipeAndResourceNameToCost.put(Pair.create("P2", "Large 3"), 756.9); + + + + recipeAndResourceNameToCost.put(Pair.create("P3", "Medium 2"), 1096.3); + recipeAndResourceNameToCost.put(Pair.create("P3", "Medium 1"), 903.8); + recipeAndResourceNameToCost.put(Pair.create("P3", "Medium 4"), 902.8); + recipeAndResourceNameToCost.put(Pair.create("P3", "Medium 3"), 867.0); + + recipeAndResourceNameToCost.put(Pair.create("P3", "Large 2"), 2396.2); + recipeAndResourceNameToCost.put(Pair.create("P3", "Large 1"), 1967.2); + recipeAndResourceNameToCost.put(Pair.create("P3", "Large 4"), 1833.9); + recipeAndResourceNameToCost.put(Pair.create("P3", "Large 3"), 1817.1); + + + + recipeAndResourceNameToCost.put(Pair.create("P4", "Medium 2"), 1224.4); + recipeAndResourceNameToCost.put(Pair.create("P4", "Medium 1"), 1004.3); + recipeAndResourceNameToCost.put(Pair.create("P4", "Medium 4"), 915.4); + recipeAndResourceNameToCost.put(Pair.create("P4", "Medium 3"), 856.4); + + recipeAndResourceNameToCost.put(Pair.create("P4", "Large 2"), 2676.2); + recipeAndResourceNameToCost.put(Pair.create("P4", "Large 1"), 2185.7); + recipeAndResourceNameToCost.put(Pair.create("P4", "Large 4"), 2062.6); + recipeAndResourceNameToCost.put(Pair.create("P4", "Large 3"), 1904.6); + + + + recipeAndResourceNameToCost.put(Pair.create("P5", "Medium 2"), 1737.7); + recipeAndResourceNameToCost.put(Pair.create("P5", "Medium 1"), 1599.2); + recipeAndResourceNameToCost.put(Pair.create("P5", "Medium 4"), 1370.1); + recipeAndResourceNameToCost.put(Pair.create("P5", "Medium 3"), 1244.3); + + recipeAndResourceNameToCost.put(Pair.create("P5", "Large 2"), 3798.3); + recipeAndResourceNameToCost.put(Pair.create("P5", "Large 1"), 3045.3); + recipeAndResourceNameToCost.put(Pair.create("P5", "Large 4"), 2783.1); + recipeAndResourceNameToCost.put(Pair.create("P5", "Large 3"), 2617.6); + + + + recipeAndResourceNameToCost.put(Pair.create("P6", "Medium 2"), 2225.9); + recipeAndResourceNameToCost.put(Pair.create("P6", "Medium 1"), 1770.8); + recipeAndResourceNameToCost.put(Pair.create("P6", "Medium 4"), 1587.2); + recipeAndResourceNameToCost.put(Pair.create("P6", "Medium 3"), 1303.0); + + recipeAndResourceNameToCost.put(Pair.create("P6", "Large 2"), 4865.4); + recipeAndResourceNameToCost.put(Pair.create("P6", "Large 1"), 3854.2); + recipeAndResourceNameToCost.put(Pair.create("P6", "Large 4"), 3453.0); + recipeAndResourceNameToCost.put(Pair.create("P6", "Large 3"), 3269.4); + + + recipeAndResourceNameToCost.put(Pair.create("P7", "Large 2"), 4560.0); + recipeAndResourceNameToCost.put(Pair.create("P7", "Large 1"), 3826.5); + recipeAndResourceNameToCost.put(Pair.create("P7", "Large 4"), 3614.3); + recipeAndResourceNameToCost.put(Pair.create("P7", "Large 3"), 3532.6); + + recipeAndResourceNameToCost.put(Pair.create("P8", "Large 2"), 5175.0); + recipeAndResourceNameToCost.put(Pair.create("P8", "Large 1"), 4325.6); + recipeAndResourceNameToCost.put(Pair.create("P8", "Large 4"), 4274.2); + recipeAndResourceNameToCost.put(Pair.create("P8", "Large 3"), 3982.4); + + + recipeAndResourceNameToCost.put(Pair.create("P9", "Large 2"), 10027.4); + recipeAndResourceNameToCost.put(Pair.create("P9", "Large 1"), 8039.5); + recipeAndResourceNameToCost.put(Pair.create("P9", "Large 4"), 7347.4); + recipeAndResourceNameToCost.put(Pair.create("P9", "Large 3"), 7138.4); + + + recipeAndResourceNameToCost.put(Pair.create("P10", "Large 2"), 12844.6); + recipeAndResourceNameToCost.put(Pair.create("P10", "Large 1"), 10175.0); + recipeAndResourceNameToCost.put(Pair.create("P10", "Large 4"), 9116.0); + recipeAndResourceNameToCost.put(Pair.create("P10", "Large 3"), 8823.1); + + + recipeAndResourceNameToCost.put(Pair.create("P11", "Large 2"), 2481.0); + recipeAndResourceNameToCost.put(Pair.create("P11", "Large 1"), 1755.7); + recipeAndResourceNameToCost.put(Pair.create("P11", "Large 4"), 1452.9); + recipeAndResourceNameToCost.put(Pair.create("P11", "Large 3"), 1206.2); + + recipeAndResourceNameToCost.put(Pair.create("P12", "Large 2"), 2908.8); + recipeAndResourceNameToCost.put(Pair.create("P12", "Large 1"), 2058.4); + recipeAndResourceNameToCost.put(Pair.create("P12", "Large 4"), 1816.1); + recipeAndResourceNameToCost.put(Pair.create("P12", "Large 3"), 1583.1); + + recipeAndResourceNameToCost.put(Pair.create("P13", "Large 2"), 6573.1); + recipeAndResourceNameToCost.put(Pair.create("P13", "Large 1"), 4651.4); + recipeAndResourceNameToCost.put(Pair.create("P13", "Large 4"), 3566.2); + recipeAndResourceNameToCost.put(Pair.create("P13", "Large 3"), 3255.4); + + recipeAndResourceNameToCost.put(Pair.create("P14", "Large 2"), 8764.1); + recipeAndResourceNameToCost.put(Pair.create("P14", "Large 1"), 6201.9); + recipeAndResourceNameToCost.put(Pair.create("P14", "Large 4"), 5673.8); + recipeAndResourceNameToCost.put(Pair.create("P14", "Large 3"), 4754.9); + + + if (!runWith14) { + recipeAndResourceNameToCost.put(Pair.create("P15", "Large 1"), 4651.4); + recipeAndResourceNameToCost.put(Pair.create("P15", "Large 2"), 6573.1); + recipeAndResourceNameToCost.put(Pair.create("P15", "Large 3"), 3566.2); + recipeAndResourceNameToCost.put(Pair.create("P15", "Large 4"), 4255.4); + + recipeAndResourceNameToCost.put(Pair.create("P16", "Large 1"), 6201.9); + recipeAndResourceNameToCost.put(Pair.create("P16", "Large 2"), 8764.1); + recipeAndResourceNameToCost.put(Pair.create("P16", "Large 3"), 4754.9); + recipeAndResourceNameToCost.put(Pair.create("P16", "Large 4"), 5673.8); + } + + return recipeAndResourceNameToCost; + } + + private Map<Pair<String, String>, Integer> generateProcessingTimes() { + final Map<Pair<String, String>, Integer> recipeAndResourceNameToCuttingTime = new HashMap<>(); + + recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Small 2"), (int) (2833.5)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Small 1"), (int) (2956.2)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Small 4"), (int) (3042.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Small 3"), (int) (3174.1)); + + recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Medium 2"), (int) (2033.5)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Medium 1"), (int) (2156.2)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Medium 4"), (int) (2242.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Medium 3"), (int) (2674.1)); + + recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Large 2"), (int) (1256.2)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Large 1"), (int) (1633.5)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Large 4"), (int) (1842.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Large 3"), (int) (1974.1)); + + + + recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Small 2"), (int) (2833.5)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Small 1"), (int) (2956.2)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Small 4"), (int) (3042.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Small 3"), (int) (3174.1)); + + recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Medium 2"), (int) (2033.5)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Medium 1"), (int) (2156.2)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Medium 4"), (int) (2242.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Medium 3"), (int) (2674.1)); + + recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Large 2"), (int) (1256.2)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Large 1"), (int) (1633.5)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Large 4"), (int) (1842.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Large 3"), (int) (1974.1)); + + + + + recipeAndResourceNameToCuttingTime.put(Pair.create("P3", "Medium 2"), (int) (2899.7)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P3", "Medium 1"), (int) (2990.0)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P3", "Medium 4"), (int) (3093.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P3", "Medium 3"), (int) (3250.4)); + + recipeAndResourceNameToCuttingTime.put(Pair.create("P3", "Large 2"), (int) (2099.7)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P3", "Large 1"), (int) (2290.0)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P3", "Large 4"), (int) (2493.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P3", "Large 3"), (int) (2650.4)); + + + recipeAndResourceNameToCuttingTime.put(Pair.create("P4", "Medium 2"), (int) (2899.7)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P4", "Medium 1"), (int) (2990.0)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P4", "Medium 4"), (int) (3093.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P4", "Medium 3"), (int) (3250.4)); + + recipeAndResourceNameToCuttingTime.put(Pair.create("P4", "Large 2"), (int) (2099.7)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P4", "Large 1"), (int) (2290.0)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P4", "Large 4"), (int) (2493.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P4", "Large 3"), (int) (2650.4)); + + + recipeAndResourceNameToCuttingTime.put(Pair.create("P5", "Medium 2"), (int) (2899.7)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P5", "Medium 1"), (int) (2990.0)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P5", "Medium 4"), (int) (3093.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P5", "Medium 3"), (int) (3250.4)); + + recipeAndResourceNameToCuttingTime.put(Pair.create("P5", "Large 2"), (int) (2099.7)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P5", "Large 1"), (int) (2290.0)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P5", "Large 4"), (int) (2493.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P5", "Large 3"), (int) (2650.4)); + + + + recipeAndResourceNameToCuttingTime.put(Pair.create("P6", "Medium 2"), (int) (2899.7)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P6", "Medium 1"), (int) (2990.0)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P6", "Medium 4"), (int) (3093.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P6", "Medium 3"), (int) (3250.4)); + + recipeAndResourceNameToCuttingTime.put(Pair.create("P6", "Large 2"), (int) (2099.7)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P6", "Large 1"), (int) (2290.0)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P6", "Large 4"), (int) (2493.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P6", "Large 3"), (int) (2650.4)); + + + recipeAndResourceNameToCuttingTime.put(Pair.create("P7", "Large 2"), (int) (5341.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P7", "Large 1"), (int) (5505.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P7", "Large 4"), (int) (6205.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P7", "Large 3"), (int) (7421.3)); + + + recipeAndResourceNameToCuttingTime.put(Pair.create("P8", "Large 2"), (int) (5341.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P8", "Large 1"), (int) (5505.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P8", "Large 4"), (int) (6205.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P8", "Large 3"), (int) (7421.3)); + + + + recipeAndResourceNameToCuttingTime.put(Pair.create("P9", "Large 2"), (int) (5341.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P9", "Large 1"), (int) (5505.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P9", "Large 4"), (int) (6205.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P9", "Large 3"), (int) (7421.3)); + + + + recipeAndResourceNameToCuttingTime.put(Pair.create("P10", "Large 2"), (int) (5341.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P10", "Large 1"), (int) (5505.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P10", "Large 4"), (int) (6205.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P10", "Large 3"), (int) (7421.3)); + + recipeAndResourceNameToCuttingTime.put(Pair.create("P11", "Large 2"), (int) (5341.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P11", "Large 1"), (int) (5505.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P11", "Large 4"), (int) (6205.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P11", "Large 3"), (int) (7421.3)); + + + recipeAndResourceNameToCuttingTime.put(Pair.create("P12", "Large 2"), (int) (5341.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P12", "Large 1"), (int) (5505.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P12", "Large 4"), (int) (6205.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P12", "Large 3"), (int) (7421.3)); + + + recipeAndResourceNameToCuttingTime.put(Pair.create("P13", "Large 2"), (int) (5341.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P13", "Large 1"), (int) (5505.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P13", "Large 4"), (int) (6205.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P13", "Large 3"), (int) (7421.3)); + + + recipeAndResourceNameToCuttingTime.put(Pair.create("P14", "Large 2"), (int) (5341.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P14", "Large 1"), (int) (5505.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P14", "Large 4"), (int) (6205.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P14", "Large 3"), (int) (7421.3)); + + + + + if (!runWith14) { + recipeAndResourceNameToCuttingTime.put(Pair.create("P15", "Large 2"), (int) (5341.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P15", "Large 1"), (int) (5505.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P15", "Large 4"), (int) (6205.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P15", "Large 3"), (int) (7421.3)); + + + recipeAndResourceNameToCuttingTime.put(Pair.create("P16", "Large 2"), (int) (5341.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P16", "Large 1"), (int) (5505.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P16", "Large 4"), (int) (6205.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P16", "Large 3"), (int) (7421.3)); + + } + + return recipeAndResourceNameToCuttingTime; + } + + static boolean compareSubProcessTypes(DeviceType[] dt1, DeviceType[] dt2) { + if (dt1.length != dt2.length) + return false; + + for (int i = 0; i < dt1.length; i++) { + if (dt1[i].toString() != dt2[i].toString()) + return false; + } + return true; + + } + + + + + + + + +// +// private Map<Pair<String, String>, Double> generateMontarys() { +// Map<Pair<String, String>, Double> recipeAndResourceNameToCost = new HashMap<>(); +// recipeAndResourceNameToCost.put(Pair.create("P1", "Small 1"), 168.4); +// recipeAndResourceNameToCost.put(Pair.create("P1", "Medium 1"), 238.6); +// recipeAndResourceNameToCost.put(Pair.create("P1", "Large 1"), 519.3); +// recipeAndResourceNameToCost.put(Pair.create("P1", "Small 2"), 192.1); +// recipeAndResourceNameToCost.put(Pair.create("P1", "Medium 2"), 273.1); +// recipeAndResourceNameToCost.put(Pair.create("P1", "Large 2"), 596.9); +// recipeAndResourceNameToCost.put(Pair.create("P1", "Small 3"), 167.0); +// recipeAndResourceNameToCost.put(Pair.create("P1", "Medium 3"), 230.0); +// recipeAndResourceNameToCost.put(Pair.create("P1", "Large 3"), 482.1); +// recipeAndResourceNameToCost.put(Pair.create("P1", "Small 4"), 175.9); +// recipeAndResourceNameToCost.put(Pair.create("P1", "Medium 4"), 237.1); +// recipeAndResourceNameToCost.put(Pair.create("P1", "Large 4"), 481.6); +// +// recipeAndResourceNameToCost.put(Pair.create("P2", "Small 1"), 265.6); +// recipeAndResourceNameToCost.put(Pair.create("P2", "Medium 1"), 376.3); +// recipeAndResourceNameToCost.put(Pair.create("P2", "Large 1"), 819.0); +// recipeAndResourceNameToCost.put(Pair.create("P2", "Small 2"), 305.5); +// recipeAndResourceNameToCost.put(Pair.create("P2", "Medium 2"), 434.2); +// recipeAndResourceNameToCost.put(Pair.create("P2", "Large 2"), 949.1); +// recipeAndResourceNameToCost.put(Pair.create("P2", "Small 3"), 262.2); +// recipeAndResourceNameToCost.put(Pair.create("P2", "Medium 3"), 361.1); +// recipeAndResourceNameToCost.put(Pair.create("P2", "Large 3"), 756.9); +// recipeAndResourceNameToCost.put(Pair.create("P2", "Small 4"), 283.1); +// recipeAndResourceNameToCost.put(Pair.create("P2", "Medium 4"), 381.5); +// recipeAndResourceNameToCost.put(Pair.create("P2", "Large 4"), 775.0); +// +// recipeAndResourceNameToCost.put(Pair.create("P3", "Medium 1"), 903.8); +// recipeAndResourceNameToCost.put(Pair.create("P3", "Large 1"), 1967.2); +// recipeAndResourceNameToCost.put(Pair.create("P3", "Medium 2"), 1096.3); +// recipeAndResourceNameToCost.put(Pair.create("P3", "Large 2"), 2396.2); +// recipeAndResourceNameToCost.put(Pair.create("P3", "Medium 3"), 867.0); +// recipeAndResourceNameToCost.put(Pair.create("P3", "Large 3"), 1817.1); +// recipeAndResourceNameToCost.put(Pair.create("P3", "Medium 4"), 902.8); +// recipeAndResourceNameToCost.put(Pair.create("P3", "Large 4"), 1833.9); +// +// recipeAndResourceNameToCost.put(Pair.create("P4", "Medium 1"), 1004.3); +// recipeAndResourceNameToCost.put(Pair.create("P4", "Large 1"), 2185.7); +// recipeAndResourceNameToCost.put(Pair.create("P4", "Medium 2"), 1224.4); +// recipeAndResourceNameToCost.put(Pair.create("P4", "Large 2"), 2676.2); +// recipeAndResourceNameToCost.put(Pair.create("P4", "Medium 3"), 956.4); +// recipeAndResourceNameToCost.put(Pair.create("P4", "Large 3"), 2004.6); +// recipeAndResourceNameToCost.put(Pair.create("P4", "Medium 4"), 1015.4); +// recipeAndResourceNameToCost.put(Pair.create("P4", "Large 4"), 2062.6); +// +// recipeAndResourceNameToCost.put(Pair.create("P5", "Medium 1"), 1399.2); +// recipeAndResourceNameToCost.put(Pair.create("P5", "Large 1"), 3045.3); +// recipeAndResourceNameToCost.put(Pair.create("P5", "Medium 2"), 1737.7); +// recipeAndResourceNameToCost.put(Pair.create("P5", "Large 2"), 3798.3); +// recipeAndResourceNameToCost.put(Pair.create("P5", "Medium 3"), 1344.3); +// recipeAndResourceNameToCost.put(Pair.create("P5", "Large 3"), 2817.6); +// recipeAndResourceNameToCost.put(Pair.create("P5", "Medium 4"), 1370.1); +// recipeAndResourceNameToCost.put(Pair.create("P5", "Large 4"), 2783.1); +// +// recipeAndResourceNameToCost.put(Pair.create("P6", "Medium 1"), 1770.8); +// recipeAndResourceNameToCost.put(Pair.create("P6", "Large 1"), 3854.2); +// recipeAndResourceNameToCost.put(Pair.create("P6", "Medium 2"), 2225.9); +// recipeAndResourceNameToCost.put(Pair.create("P6", "Large 2"), 4865.4); +// recipeAndResourceNameToCost.put(Pair.create("P6", "Medium 3"), 1703.0); +// recipeAndResourceNameToCost.put(Pair.create("P6", "Large 3"), 3569.4); +// recipeAndResourceNameToCost.put(Pair.create("P6", "Medium 4"), 1687.2); +// recipeAndResourceNameToCost.put(Pair.create("P6", "Large 4"), 3453.0); +// +// recipeAndResourceNameToCost.put(Pair.create("P7", "Large 1"), 3826.5); +// recipeAndResourceNameToCost.put(Pair.create("P7", "Large 2"), 4560.0); +// recipeAndResourceNameToCost.put(Pair.create("P7", "Large 3"), 3532.6); +// recipeAndResourceNameToCost.put(Pair.create("P7", "Large 4"), 3614.3); +// +// recipeAndResourceNameToCost.put(Pair.create("P8", "Large 1"), 4325.6); +// recipeAndResourceNameToCost.put(Pair.create("P8", "Large 2"), 5175.0); +// recipeAndResourceNameToCost.put(Pair.create("P8", "Large 3"), 3982.4); +// recipeAndResourceNameToCost.put(Pair.create("P8", "Large 4"), 4274.2); +// +// recipeAndResourceNameToCost.put(Pair.create("P9", "Large 1"), 8039.5); +// recipeAndResourceNameToCost.put(Pair.create("P9", "Large 2"), 10027.4); +// recipeAndResourceNameToCost.put(Pair.create("P9", "Large 3"), 7438.4); +// recipeAndResourceNameToCost.put(Pair.create("P9", "Large 4"), 7347.4); +// +// recipeAndResourceNameToCost.put(Pair.create("P10", "Large 1"), 10175.0); +// recipeAndResourceNameToCost.put(Pair.create("P10", "Large 2"), 12844.6); +// recipeAndResourceNameToCost.put(Pair.create("P10", "Large 3"), 9423.1); +// recipeAndResourceNameToCost.put(Pair.create("P10", "Large 4"), 9116.0); +// +// recipeAndResourceNameToCost.put(Pair.create("P11", "Large 1"), 1755.7); +// recipeAndResourceNameToCost.put(Pair.create("P11", "Large 2"), 2481.0); +// recipeAndResourceNameToCost.put(Pair.create("P11", "Large 3"), 1606.2); +// recipeAndResourceNameToCost.put(Pair.create("P11", "Large 4"), 1452.9); +// +// recipeAndResourceNameToCost.put(Pair.create("P12", "Large 1"), 2058.4); +// recipeAndResourceNameToCost.put(Pair.create("P12", "Large 2"), 2908.8); +// recipeAndResourceNameToCost.put(Pair.create("P12", "Large 3"), 1883.1); +// recipeAndResourceNameToCost.put(Pair.create("P12", "Large 4"), 1816.1); +// +// recipeAndResourceNameToCost.put(Pair.create("P13", "Large 1"), 4651.4); +// recipeAndResourceNameToCost.put(Pair.create("P13", "Large 2"), 6573.1); +// recipeAndResourceNameToCost.put(Pair.create("P13", "Large 3"), 4255.4); +// recipeAndResourceNameToCost.put(Pair.create("P13", "Large 4"), 3566.2); +// +// recipeAndResourceNameToCost.put(Pair.create("P14", "Large 1"), 6201.9); +// recipeAndResourceNameToCost.put(Pair.create("P14", "Large 2"), 8764.1); +// recipeAndResourceNameToCost.put(Pair.create("P14", "Large 3"), 5673.8); +// recipeAndResourceNameToCost.put(Pair.create("P14", "Large 4"), 4754.9); +// +// if (!runWith14) { +// recipeAndResourceNameToCost.put(Pair.create("P15", "Large 1"), 4651.4); +// recipeAndResourceNameToCost.put(Pair.create("P15", "Large 2"), 6573.1); +// recipeAndResourceNameToCost.put(Pair.create("P15", "Large 3"), 4255.4); +// recipeAndResourceNameToCost.put(Pair.create("P15", "Large 4"), 3566.2); +// +// recipeAndResourceNameToCost.put(Pair.create("P16", "Large 1"), 6201.9); +// recipeAndResourceNameToCost.put(Pair.create("P16", "Large 2"), 8764.1); +// recipeAndResourceNameToCost.put(Pair.create("P16", "Large 3"), 5673.8); +// recipeAndResourceNameToCost.put(Pair.create("P16", "Large 4"), 4754.9); +// } +// +// return recipeAndResourceNameToCost; +// } +// +// private Map<Pair<String, String>, Integer> generateProcessingTimes() { +// final Map<Pair<String, String>, Integer> recipeAndResourceNameToCuttingTime = new HashMap<>(); +// +// recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Small 1"), (int) (842.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Medium 1"), (int) (842.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Large 1"), (int) (842.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Small 2"), (int) (974.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Medium 2"), (int) (974.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Large 2"), (int) (974.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Small 3"), (int) (756.2)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Medium 3"), (int) (756.2)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Large 3"), (int) (756.2)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Small 4"), (int) (733.5)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Medium 4"), (int) (733.5)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P1", "Large 4"), (int) (733.5)); +// +// recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Small 1"), (int) (1328.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Medium 1"), (int) (1328.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Large 1"), (int) (1328.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Small 2"), (int) (1544.6)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Medium 2"), (int) (1544.6)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Large 2"), (int) (1544.6)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Small 3"), (int) (1187.3)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Medium 3"), (int) (1187.3)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Large 3"), (int) (1187.3)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Small 4"), (int) (1180.4)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Medium 4"), (int) (1180.4)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P2", "Large 4"), (int) (1180.4)); +// +// recipeAndResourceNameToCuttingTime.put(Pair.create("P3", "Medium 1"), (int) (3190.0)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P3", "Large 1"), (int) (3190.0)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P3", "Medium 2"), (int) (3899.7)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P3", "Large 2"), (int) (3899.7)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P3", "Medium 3"), (int) (2850.4)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P3", "Large 3"), (int) (2850.4)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P3", "Medium 4"), (int) (2793.3)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P3", "Large 4"), (int) (2793.3)); +// +// recipeAndResourceNameToCuttingTime.put(Pair.create("P4", "Medium 1"), (int) (3544.4)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P4", "Large 1"), (int) (3544.4)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P4", "Medium 2"), (int) (4355.5)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P4", "Large 2"), (int) (4355.5)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P4", "Medium 3"), (int) (3144.5)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P4", "Large 3"), (int) (3144.5)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P4", "Medium 4"), (int) (3141.7)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P4", "Large 4"), (int) (3141.7)); +// +// recipeAndResourceNameToCuttingTime.put(Pair.create("P5", "Medium 1"), (int) (4938.3)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P5", "Large 1"), (int) (4938.3)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P5", "Medium 2"), (int) (6181.6)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P5", "Large 2"), (int) (6181.6)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P5", "Medium 3"), (int) (4419.7)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P5", "Large 3"), (int) (4419.7)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P5", "Medium 4"), (int) (4239.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P5", "Large 4"), (int) (4239.1)); +// +// recipeAndResourceNameToCuttingTime.put(Pair.create("P6", "Medium 1"), (int) (6250.0)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P6", "Large 1"), (int) (6250.0)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P6", "Medium 2"), (int) (7918.4)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P6", "Large 2"), (int) (7918.4)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P6", "Medium 3"), (int) (5599.0)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P6", "Large 3"), (int) (5599.0)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P6", "Medium 4"), (int) (5297.7)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P6", "Large 4"), (int) (5297.7)); +// +// recipeAndResourceNameToCuttingTime.put(Pair.create("P7", "Large 1"), (int) (6205.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P7", "Large 2"), (int) (7421.3)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P7", "Large 3"), (int) (5541.3)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P7", "Large 4"), (int) (5505.1)); +// +// recipeAndResourceNameToCuttingTime.put(Pair.create("P8", "Large 1"), (int) (7014.5)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P8", "Large 2"), (int) (8422.3)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P8", "Large 3"), (int) (6247.0)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P8", "Large 4"), (int) (6510.3)); +// +// recipeAndResourceNameToCuttingTime.put(Pair.create("P9", "Large 1"), (int) (13037.0)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P9", "Large 2"), (int) (16319.5)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P9", "Large 3"), (int) (11668.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P9", "Large 4"), (int) (11191.3)); +// +// recipeAndResourceNameToCuttingTime.put(Pair.create("P10", "Large 1"), (int) (16500.0)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P10", "Large 2"), (int) (20904.5)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P10", "Large 3"), (int) (14781.4)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P10", "Large 4"), (int) (13985.8)); +// +// recipeAndResourceNameToCuttingTime.put(Pair.create("P11", "Large 1"), (int) (2847.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P11", "Large 2"), (int) (4067.2)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P11", "Large 3"), (int) (2519.5)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P11", "Large 4"), (int) (2151.1)); +// +// recipeAndResourceNameToCuttingTime.put(Pair.create("P12", "Large 1"), (int) (3337.9)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P12", "Large 2"), (int) (4768.5)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P12", "Large 3"), (int) (2953.9)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P12", "Large 4"), (int) (2688.9)); +// +// recipeAndResourceNameToCuttingTime.put(Pair.create("P13", "Large 1"), (int) (7542.9)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P13", "Large 2"), (int) (10775.5)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P13", "Large 3"), (int) (6675.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P13", "Large 4"), (int) (5280.0)); +// +// recipeAndResourceNameToCuttingTime.put(Pair.create("P14", "Large 1"), (int) (10057.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P14", "Large 2"), (int) (14367.3)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P14", "Large 3"), (int) (8900.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P14", "Large 4"), (int) (7040.0)); +// +// if (!runWith14) { +// recipeAndResourceNameToCuttingTime.put(Pair.create("P15", "Large 1"), (int) (7542.9)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P15", "Large 2"), (int) (10775.5)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P15", "Large 3"), (int) (6675.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P15", "Large 4"), (int) (5280.0)); +// +// recipeAndResourceNameToCuttingTime.put(Pair.create("P16", "Large 1"), (int) (10057.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P16", "Large 2"), (int) (14367.3)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P16", "Large 3"), (int) (8900.1)); +// recipeAndResourceNameToCuttingTime.put(Pair.create("P16", "Large 4"), (int) (7040.0)); +// } +// +// return recipeAndResourceNameToCuttingTime; +// } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/ONA/ONAXMLReader.java b/src/main/java/uk/ac/york/safire/factoryModel/ONA/ONAXMLReader.java new file mode 100644 index 0000000000000000000000000000000000000000..d540502ff6bd13f36748f5895fc4fcf15f65562e --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/ONA/ONAXMLReader.java @@ -0,0 +1,367 @@ +package uk.ac.york.safire.factoryModel.ONA; + +import java.io.File; +import java.util.ArrayList; +import java.util.List; +import java.util.stream.Collectors; + +import javax.xml.parsers.DocumentBuilder; +import javax.xml.parsers.DocumentBuilderFactory; + +import org.w3c.dom.Document; +import org.w3c.dom.Element; +import org.w3c.dom.Node; +import org.w3c.dom.NodeList; + +import uk.ac.york.safire.factoryModel.ONA.ONAFactoryModel.AllenOperator; +import uk.ac.york.safire.factoryModel.ONA.ONAFactoryModel.DeviceType; +import uk.ac.york.safire.optimisation.mitm.atb.SequenceDependentTaskInfo; + +public class ONAXMLReader { + List<String> objectivesList; + List<Device> resources; + List<ProductionProcess> processes; + List<SubProcessRelation> relations; + List<SequenceDependentTaskInfo> setups; + + public void readOASInput() { + try { + + File fXmlFile = new File("input/ONAConfiguration.xml"); + DocumentBuilderFactory dbFactory = DocumentBuilderFactory.newInstance(); + DocumentBuilder dBuilder = dbFactory.newDocumentBuilder(); + Document ONAConfiguration = dBuilder.parse(fXmlFile); + + ONAConfiguration.getDocumentElement().normalize(); + + System.out.println("Root element :" + ONAConfiguration.getDocumentElement().getNodeName()); + + objectivesList = getObjectives(ONAConfiguration); + if (objectivesList.size() == 0) { + System.err.println("Objective size must be bigger than 0"); + System.exit(-1); + } + resources = getResources(ONAConfiguration); + processes = getProduction(ONAConfiguration, resources); + relations = getSubProcessRelation(ONAConfiguration, processes); + setups = getDependentSetup(ONAConfiguration, processes, resources); + + } catch (Exception e) { + e.printStackTrace(); + } + } + + private List<String> getObjectives(Document doc) { + List<String> objectives = new ArrayList<String>(); + + NodeList objectivesNodeList = doc.getElementsByTagName("objective"); + + for (int i = 0; i < objectivesNodeList.getLength(); i++) { + Node objectiveNode = objectivesNodeList.item(i); + + if (objectiveNode.getNodeType() == Node.ELEMENT_NODE) { + Element objectiveElement = (Element) objectiveNode; + String objectiveName = objectiveElement.getAttribute("name"); + + objectives.add(objectiveName); + } + } + + return objectives; + } + + private List<Device> getResources(Document doc) { + + List<Device> resources = new ArrayList<Device>(); + + NodeList processingDeviceNodeList = doc.getElementsByTagName("processingDevice"); + + for (int i = 0; i < processingDeviceNodeList.getLength(); i++) { + + Node deviceNode = processingDeviceNodeList.item(i); + + if (deviceNode.getNodeType() == Node.ELEMENT_NODE) { + Element deviceElement = (Element) deviceNode; + String deviceName = deviceElement.getAttribute("name"); + String availability = deviceElement.getAttribute("availability"); + + List<String> unavailableTimes = new ArrayList<>(); + NodeList unavailableTimeList = deviceElement.getElementsByTagName("unavailableTime"); + for (int j = 0; j < unavailableTimeList.getLength(); j++) { + Node unavailableTimeNode = unavailableTimeList.item(j); + + if (unavailableTimeNode.getNodeType() == Node.ELEMENT_NODE) { + Element unavailableTimeElement = (Element) unavailableTimeNode; + String content = unavailableTimeElement.getTextContent(); + unavailableTimes.add(content); + } + } + + String unAvailableTimesToString = String.join(" ", unavailableTimes); + + Device d = new Device(Integer.parseInt(deviceName.split(" ")[1]), + stringToDeviceType(deviceName.split(" ")[0]), Integer.parseInt(availability), + unAvailableTimesToString); + resources.add(d); + + } + } + + System.out.println("\n-------------------------- Devices --------------------------"); + String out = "Devices: "; + String nameFlag = ""; + for (int i = 0; i < resources.size(); i++) { + if (!nameFlag.equals(resources.get(i).getName())) { + out += "\n"; + nameFlag = resources.get(i).getName(); + } + out += resources.get(i).toString() + " "; + } + + System.out.println(out); + + System.out.println("-------------------------------------------------------------"); + return resources; + } + + private List<ProductionProcess> getProduction(Document doc, List<Device> resources) { + List<ProductionProcess> processes = new ArrayList<ProductionProcess>(); + + NodeList productionProcessNodeList = doc.getElementsByTagName("productionProcess"); + + for (int i = 0; i < productionProcessNodeList.getLength(); i++) { + Node productionProcessNode = productionProcessNodeList.item(i); + if (productionProcessNode.getNodeType() == Node.ELEMENT_NODE) { + Element productionProcessElement = (Element) productionProcessNode; + String productionProcessName = productionProcessElement.getAttribute("name"); + int urgency = Integer.parseInt(productionProcessElement.getAttribute("priority")); + int instances = Integer.parseInt(productionProcessElement.getAttribute("instances")); + int preemptionPoints = Integer.parseInt(productionProcessElement.getAttribute("cuts")); + + List<Device> compitables = new ArrayList<>(); + List<Integer> processingTimes = new ArrayList<>(); + List<Integer> energys = new ArrayList<>(); + List<Integer> montarys = new ArrayList<>(); + NodeList comptiableDeviceNodeList = productionProcessElement.getElementsByTagName("comptiableDevice"); + + for (int j = 0; j < comptiableDeviceNodeList.getLength(); j++) { + Node comptiableNode = comptiableDeviceNodeList.item(j); + if (comptiableNode.getNodeType() == Node.ELEMENT_NODE) { + Element comptiableElement = (Element) comptiableNode; + String deviceName = comptiableElement.getAttribute("name"); + Device d = getDeviceByName(deviceName, resources); + compitables.add(d); + + int processingTime = Integer.parseInt(comptiableElement.getAttribute("processingTime")); + processingTimes.add(processingTime); + + int energy = Integer.parseInt(comptiableElement.getAttribute("energy")); + energys.add(energy); + + int montary = Integer.parseInt(comptiableElement.getAttribute("montary")); + montarys.add(montary); + } + } + + NodeList subProcessNodeList = productionProcessElement.getElementsByTagName("subProcess"); + + ProductionProcess process = new ProductionProcess(productionProcessName, compitables, processingTimes, + energys, montarys, preemptionPoints, urgency, instances); + + if (subProcessNodeList.getLength() > 0) { + List<SubProcess> subProcesses = new ArrayList<>(); + + for (int k = 0; k < subProcessNodeList.getLength(); k++) { + Node subProcessNode = subProcessNodeList.item(k); + if (subProcessNode.getNodeType() == Node.ELEMENT_NODE) { + Element subProcessElement = (Element) subProcessNode; + String[] subProcessName = subProcessElement.getAttribute("name").split(" "); + + List<Device> subComptiables = new ArrayList<>(); + List<Integer> subProcessingTimes = new ArrayList<>(); + List<Integer> subEnergys = new ArrayList<>(); + List<Integer> subMontarys = new ArrayList<>(); + + NodeList subProcessProcessingDeviceNodeList = subProcessElement + .getElementsByTagName("subProcessProcessingDevice"); + for (int l = 0; l < subProcessProcessingDeviceNodeList.getLength(); l++) { + Node subProcessProcessingDeviceNode = subProcessProcessingDeviceNodeList.item(l); + if (subProcessProcessingDeviceNode.getNodeType() == Node.ELEMENT_NODE) { + Element subProcessProcessingDeviceElement = (Element) subProcessProcessingDeviceNode; + String deviceName = subProcessProcessingDeviceElement.getAttribute("name"); + int processingTime = Integer + .parseInt(subProcessProcessingDeviceElement.getAttribute("processingTime")); + int energy = Integer + .parseInt(subProcessProcessingDeviceElement.getAttribute("energy")); + int montary = Integer + .parseInt(subProcessProcessingDeviceElement.getAttribute("montary")); + + subComptiables.add(getDeviceByName(deviceName, resources)); + subProcessingTimes.add(processingTime); + subEnergys.add(energy); + subMontarys.add(montary); + } + } + + SubProcess subProcess = new SubProcess(Integer.parseInt(subProcessName[2]), + subProcessName[0] + " " + subProcessName[1], subProcessingTimes, subEnergys, subMontarys, subComptiables, + process); + subProcesses.add(subProcess); + } + } + process.subProcesses = subProcesses; + processes.add(process); + } else { + processes.add(process); + } + + } + + } + + System.out.println("\n-------------------------- Production Process --------------------------"); + for (ProductionProcess process : processes) { + System.out.println(process.toString()); + } + System.out.println("-----------------------------------------------------------------------"); + + return processes; + } + + private List<SubProcessRelation> getSubProcessRelation(Document doc, List<ProductionProcess> processes) { + List<SubProcessRelation> relations = new ArrayList<SubProcessRelation>(); + + List<SubProcess> subProcesses = new ArrayList<SubProcess>(); + for (int i = 0; i < processes.size(); i++) { + ProductionProcess process = processes.get(i); + List<SubProcess> linear = process.getSubProcesses().stream().collect(Collectors.toList()); + + for (int j = 0; j < linear.size(); j++) { + subProcesses.add(linear.get(j)); + } + } + + NodeList relationsNodeList = doc.getElementsByTagName("subprocessRelation"); + for (int i = 0; i < relationsNodeList.getLength(); i++) { + Node relationNode = relationsNodeList.item(i); + if (relationNode.getNodeType() == Node.ELEMENT_NODE) { + Element relationElement = (Element) relationNode; + + String source = relationElement.getAttribute("source"); + String dest = relationElement.getAttribute("destination"); + String allenOperator = relationElement.getAttribute("allensOperator"); + + SubProcessRelation relation = new SubProcessRelation(getSubProcessByName(source, subProcesses), + getSubProcessByName(dest, subProcesses), getAllenOperatorByName(allenOperator)); + relations.add(relation); + } + } + + System.out.println("\n----------------------------- SubProcess Relation -----------------------------"); + for (SubProcessRelation relation : relations) { + System.out.println(relation.toString()); + } + System.out.println("----------------------------------------------------------------------------------"); + + return relations; + } + + private SubProcess getSubProcessByName(String name, List<SubProcess> subProcesses) { + for (SubProcess sub : subProcesses) { + if (sub.getName().equals(name)) + return sub; + } + + return null; + } + + private AllenOperator getAllenOperatorByName(String operator) { + for (AllenOperator op : AllenOperator.values()) { + if (op.toString().equals(operator)) { + return op; + } + } + return AllenOperator.UnDefined; + } + + private List<SequenceDependentTaskInfo> getDependentSetup(Document doc, List<ProductionProcess> processes, + List<Device> devices) { + List<SequenceDependentTaskInfo> setups = new ArrayList<SequenceDependentTaskInfo>(); + + NodeList setupsNodeList = doc.getElementsByTagName("sequenceDependentSetup"); + for (int i = 0; i < setupsNodeList.getLength(); i++) { + Node setupNode = setupsNodeList.item(i); + if (setupNode.getNodeType() == Node.ELEMENT_NODE) { + Element setupElement = (Element) setupNode; + + String source = setupElement.getAttribute("source"); + String dest = setupElement.getAttribute("destination"); + String deviceNamesRaw = setupElement.getAttribute("processingDevice"); + String extraProcessingTime = setupElement.getAttribute("extraProcessingTime"); + String extraEnergyConsumption = setupElement.getAttribute("extraEnergyConsumption"); + String extraMonetaryCost = setupElement.getAttribute("extraMonetaryCost"); + + final String taskId = "DependentSetUp from " + source + " to " + dest; + + SequenceDependentTaskInfo setup = new SequenceDependentTaskInfo(Integer.parseInt(extraProcessingTime), + Integer.parseInt(extraEnergyConsumption), Integer.parseInt(extraMonetaryCost), deviceNamesRaw, + source, dest, taskId); + setups.add(setup); + } + } + + System.out.println("\n----------------------------- Dependent SetUp -----------------------------"); + for (SequenceDependentTaskInfo setUp : setups) { + + System.out.println(setUp.getFullInfo()); + } + System.out.println("----------------------------------------------------------------------------------"); + + return setups; + } + + private DeviceType stringToDeviceType(String typeName) { + for (DeviceType type : DeviceType.values()) { + if (type.toString().equals(typeName)) + return type; + } + + return null; + } + + private Device getDeviceByName(String name, List<Device> devices) { + for (Device device : devices) { + if (device.getName().equals(name)) { + return device; + } + } + return null; + + } + + public List<Device> getResources() { + return resources; + } + + public List<ProductionProcess> getProcesses() { + return processes; + } + + public List<String> getObjectivesList() { + return objectivesList; + } + + public List<SequenceDependentTaskInfo> getSetUps() { + return setups; + } + + public List<SubProcessRelation> getRelations() { + return relations; + } + + public static void main(String args[]) { + ONAXMLReader reader = new ONAXMLReader(); + reader.readOASInput(); + System.out.println("Done"); + } +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/ONA/ONAXMLWriter.java b/src/main/java/uk/ac/york/safire/factoryModel/ONA/ONAXMLWriter.java new file mode 100644 index 0000000000000000000000000000000000000000..6497c01324fe5b1116b8b86cf9d2b38e4df4744a --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/ONA/ONAXMLWriter.java @@ -0,0 +1,193 @@ +package uk.ac.york.safire.factoryModel.ONA; + +import java.io.FileWriter; +import java.io.IOException; +import java.util.Arrays; +import java.util.List; + +import org.jdom2.Attribute; +import org.jdom2.Document; +import org.jdom2.Element; +import org.jdom2.output.Format; +import org.jdom2.output.XMLOutputter; + +import uk.ac.york.safire.factoryModel.ONA.ONAFactoryModel.AllenOperator; +import uk.ac.york.safire.optimisation.mitm.atb.SequenceDependentTaskInfo; + +public class ONAXMLWriter { + + public static void main(String args[]) { + write(); + } + + public static void write() { + ONAFactoryModel ona = new ONAFactoryModel(); + ona.getONAConfiguration(); + + List<String> objectives = Arrays.asList(ONAFactoryModel.objectives); + List<List<Device>> devices = ona.devices; + List<ProductionProcess> processes = ona.processes; + List<SubProcessRelation> relations = ona.relations; + List<SequenceDependentTaskInfo> setups = ona.setups; + + try { + Document doc = new Document(); + Element company = new Element("ONAFactoryModel"); + doc.setRootElement(company); + doc.getRootElement().addContent(addObjective(objectives)); + doc.getRootElement().addContent(addProcessingDevices(devices)); + doc.getRootElement().addContent(addProductionProcesses(processes)); + doc.getRootElement().addContent(addSubProcessRelation(relations)); + + doc.getRootElement().addContent(addsequenceDependentSetup(setups)); + + // new XMLOutputter().output(doc, System.out); + XMLOutputter xmlOutput = new XMLOutputter(); + + // display nice nice + xmlOutput.setFormat(Format.getPrettyFormat()); + xmlOutput.output(doc, new FileWriter("input/ONAConfiguration.xml")); + + System.out.println("File Saved!"); + } catch (IOException io) { + System.out.println(io.getMessage()); + } + } + + private static Element addObjective(List<String> objectives) { + Element objectiveElement = new Element("objectives"); + + for (String objective : objectives) { + Element objElement = new Element("objective"); + objElement.setAttribute(new Attribute("name", objective)); + objectiveElement.addContent(objElement); + } + + return objectiveElement; + + } + + private static Element addProcessingDevices(List<List<Device>> devices) { + Element processingDevicesElement = new Element("processingDevices"); + + for (List<Device> deviceInOneType : devices) { + for (Device device : deviceInOneType) { + Element processingDeviceElement = new Element("processingDevice"); + processingDeviceElement.setAttribute(new Attribute("name", device.getName())); + processingDeviceElement.setAttribute(new Attribute("availability", device.getAvailability() + "")); + + String notAvailables = device.getNotavailbaileTime(); + + List<String> notAvailablesToString = Arrays.asList(notAvailables.split(" ")); + + Element unavailableTimesElement = new Element("unavailableTimes"); + for (String aTime : notAvailablesToString) { + Element unavailableTimeElement = new Element("unavailableTime"); + unavailableTimeElement.addContent(aTime); + unavailableTimesElement.addContent(unavailableTimeElement); + } + processingDeviceElement.addContent(unavailableTimesElement); + + processingDevicesElement.addContent(processingDeviceElement); + } + } + + return processingDevicesElement; + + } + + private static Element addProductionProcesses(List<ProductionProcess> processes) { + Element productionProcessesElement = new Element("productionProcesses"); + + for (ProductionProcess process : processes) { + Element productionProcessElement = new Element("productionProcess"); + productionProcessElement.setAttribute(new Attribute("name", process.getName())); + productionProcessElement.setAttribute(new Attribute("instances", process.getInstanceNumber() + "")); + productionProcessElement.setAttribute(new Attribute("priority", process.getUrgency() + "")); + + productionProcessElement.setAttribute(new Attribute("cuts", process.numberOfCuts + "")); + + Element compitables = new Element("comptiableDevices"); + assert (process.compitableResource.size() == process.getprocessingTime().size()); + assert (process.compitableResource.size() == process.getMontarys().size()); + assert (process.compitableResource.size() == process.getEnergys().size()); + + for (int i = 0; i < process.compitableResource.size(); i++) { + Element compitable = new Element("comptiableDevice"); + compitable.setAttribute(new Attribute("name", process.compitableResource.get(i).getName())); + compitable.setAttribute(new Attribute("processingTime", process.processingTime.get(i) + "")); + compitable.setAttribute(new Attribute("energy", process.energys.get(i) + "")); + compitable.setAttribute(new Attribute("montary", process.montarys.get(i) + "")); + compitables.addContent(compitable); + } + productionProcessElement.addContent(compitables); + + Element subProcesses = new Element("subProcesses"); + for (int i = 0; i < process.subProcesses.size(); i++) { + Element subProcess = new Element("subProcess"); + subProcess.setAttribute(new Attribute("name", process.subProcesses.get(i).getName())); + + for (int j = 0; j < process.getSubProcesses().get(i).comptiables.size(); j++) { + Element processingDevice = new Element("subProcessProcessingDevice"); + processingDevice.setAttribute( + new Attribute("name", process.getSubProcesses().get(i).comptiables.get(j) + "")); + processingDevice.setAttribute(new Attribute("processingTime", + process.getSubProcesses().get(i).processingTime.get(j) + "")); + processingDevice.setAttribute( + new Attribute("energy", process.getSubProcesses().get(i).energyCost.get(j) + "")); + processingDevice.setAttribute( + new Attribute("montary", process.getSubProcesses().get(i).montaryCost.get(j) + "")); + + subProcess.addContent(processingDevice); + } + + subProcesses.addContent(subProcess); + } + productionProcessElement.addContent(subProcesses); + + // productionProcessElement.addContent(subProcessesElement); + productionProcessesElement.addContent(productionProcessElement); + } + return productionProcessesElement; + } + + private static Element addSubProcessRelation(List<SubProcessRelation> relations) { + Element subprocessRelationsElement = new Element("subprocessRelations"); + + for (SubProcessRelation relation : relations) { + if (relation.getRelation() != AllenOperator.UnDefined) { + Element subprocessRelationElement = new Element("subprocessRelation"); + subprocessRelationElement.setAttribute(new Attribute("source", relation.getSource().getName())); + subprocessRelationElement + .setAttribute(new Attribute("destination", relation.getDestination().getName())); + subprocessRelationElement + .setAttribute(new Attribute("allensOperator", relation.getRelation().toString())); + + subprocessRelationsElement.addContent(subprocessRelationElement); + } + + } + return subprocessRelationsElement; + } + + private static Element addsequenceDependentSetup(List<SequenceDependentTaskInfo> setups) { + Element sequenceDependentSetupsElement = new Element("sequenceDependentSetups"); + + for (SequenceDependentTaskInfo setup : setups) { + + Element setupElement = new Element("sequenceDependentSetup"); + setupElement.setAttribute(new Attribute("source", setup.lastTaskPrefix)); + setupElement.setAttribute(new Attribute("destination", setup.nextTaskPrefix)); + + setupElement.setAttribute(new Attribute("processingDevice", setup.resource)); + setupElement.setAttribute(new Attribute("extraProcessingTime", setup.duration + "")); + setupElement.setAttribute(new Attribute("extraEnergyConsumption", setup.energyCost + "")); + setupElement.setAttribute(new Attribute("extraMonetaryCost", setup.montaryCost + "")); + + sequenceDependentSetupsElement.addContent(setupElement); + + } + return sequenceDependentSetupsElement; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/ONA/ProductionProcess.java b/src/main/java/uk/ac/york/safire/factoryModel/ONA/ProductionProcess.java new file mode 100644 index 0000000000000000000000000000000000000000..7774b7effd5bcac2599e239d0e7c94632c4cf2d7 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/ONA/ProductionProcess.java @@ -0,0 +1,100 @@ +package uk.ac.york.safire.factoryModel.ONA; + +import java.util.ArrayList; +import java.util.List; +import java.util.stream.Collectors; + +public class ProductionProcess { + + String name; + int urgency; + int numberOfCuts; + int instanceNumber; + + List<Integer> processingTime; + List<Integer> energys; + List<Integer> montarys; + List<Device> compitableResource; + + List<SubProcess> subProcesses = new ArrayList<SubProcess>(); + + public ProductionProcess(String name, List<Device> compitableResource, List<Integer> processingTime, + List<Integer> energys, List<Integer> montarys, int numberOfCuts, int urgency, int instanceNumber) { + + assert (numberOfCuts > 0); + + this.name = name; + this.compitableResource = compitableResource; + this.numberOfCuts = numberOfCuts; + this.processingTime = processingTime; + this.energys = energys; + this.montarys = montarys; + this.urgency = urgency; + this.instanceNumber = instanceNumber; + generateSubProcesses(); + } + + private void generateSubProcesses() { + for (int i = 0; i < numberOfCuts; i++) { + List<Integer> processingTimeForSubprocess = processingTime.stream().map(t -> t / numberOfCuts) + .collect(Collectors.toList()); + List<Integer> energysForSubprocess = energys.stream().map(t -> t / numberOfCuts) + .collect(Collectors.toList()); + List<Integer> montarysForSubprocess = montarys.stream().map(t -> t / numberOfCuts) + .collect(Collectors.toList()); + + SubProcess sub = new SubProcess(i, this.name + " cut", processingTimeForSubprocess, energysForSubprocess, + montarysForSubprocess, compitableResource, this); + subProcesses.add(sub); + } + + } + + public String getName() { + return name; + } + + public List<Integer> getprocessingTime() { + return processingTime; + } + + public List<Integer> getMontarys() { + return montarys; + } + + public List<Integer> getEnergys() { + return energys; + } + + public List<Device> getCompitableResource() { + return compitableResource; + } + + public int getUrgency() { + return urgency; + } + + public int getNumberOfCuts() { + return numberOfCuts; + } + + public int getInstanceNumber() { + return instanceNumber; + } + + public List<SubProcess> getSubProcesses() { + return subProcesses; + } + + @Override + public String toString() { + String out = "Process: " + name + " preemptions: " + numberOfCuts + " compitables: " + + compitableResource.toString() + " processingTimes: " + processingTime.toString() + " montarys: " + + montarys.toString() + "\n"; + for (SubProcess sp : subProcesses) { + out += sp.toString() + "\n"; + } + return out; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/ONA/SubProcess.java b/src/main/java/uk/ac/york/safire/factoryModel/ONA/SubProcess.java new file mode 100644 index 0000000000000000000000000000000000000000..2b15b1825cf048fa520984838aac3b235c76b6fc --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/ONA/SubProcess.java @@ -0,0 +1,62 @@ +package uk.ac.york.safire.factoryModel.ONA; + +import java.util.List; + +public class SubProcess { + int id; + String name; + ProductionProcess process; + + List<Integer> processingTime; + List<Integer> energyCost; + List<Integer> montaryCost; + + List<Device> comptiables; + + public SubProcess(int id, String name, List<Integer> processingTime, List<Integer> energyCost, + List<Integer> montaryCost, List<Device> comptiables, ProductionProcess process) { + this.id = id; + this.name = name + " " + this.id; + this.process = process; + + this.processingTime = processingTime; + this.energyCost = energyCost; + this.montaryCost = montaryCost; + + this.comptiables = comptiables; + + } + + public int getId() { + return id; + } + + public String getName() { + return name; + } + + public ProductionProcess getProcess() { + return process; + } + + public List<Integer> getProcessingTime() { + return processingTime; + } + + public List<Integer> getEnergyCost() { + return energyCost; + } + + public List<Integer> getMontaryCost() { + return montaryCost; + } + + @Override + public String toString() { + String out = "SubProcess: " + name + " processingTime: " + processingTime + " energy: " + energyCost + + " montary: " + montaryCost + " comptiable Resources: " + process.compitableResource.toString(); + + return out; + } + +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/ONA/SubProcessRelation.java b/src/main/java/uk/ac/york/safire/factoryModel/ONA/SubProcessRelation.java new file mode 100644 index 0000000000000000000000000000000000000000..cd2dc568eae6ed25f2376749ff17e6d86803c439 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/ONA/SubProcessRelation.java @@ -0,0 +1,34 @@ +package uk.ac.york.safire.factoryModel.ONA; + +import uk.ac.york.safire.factoryModel.ONA.ONAFactoryModel.AllenOperator; + +public class SubProcessRelation { + + SubProcess source; + SubProcess destination; + AllenOperator relation; + + public SubProcessRelation(SubProcess source, SubProcess destination, AllenOperator relation) { + this.source = source; + this.destination = destination; + this.relation = relation; + } + + public SubProcess getSource() { + return source; + } + + public SubProcess getDestination() { + return destination; + } + + public AllenOperator getRelation() { + return relation; + } + + @Override + public String toString() { + return "SubProcessRelation: Source: " + source.getName() + " Destination: " + destination.getName() + + " relation: " + relation.toString(); + } +} diff --git a/src/main/java/uk/ac/york/safire/factoryModel/ONA/ValueCurve.java b/src/main/java/uk/ac/york/safire/factoryModel/ONA/ValueCurve.java new file mode 100644 index 0000000000000000000000000000000000000000..db93d3f501ae458cade64a15ed8f8e978383467e --- /dev/null +++ b/src/main/java/uk/ac/york/safire/factoryModel/ONA/ValueCurve.java @@ -0,0 +1,41 @@ +package uk.ac.york.safire.factoryModel.ONA; + +import java.text.DecimalFormat; +import java.util.ArrayList; +import java.util.List; + +public class ValueCurve { + + public static double getQualityExact(List<Integer> finishTimes, int makespan, int deadline) { + return qualityCal(finishTimes, makespan, deadline); + } + + private static double qualityCal(List<Integer> finishTimes, double makespan, double deadline) { + double quality = 0; + + List<Double> qualities = new ArrayList<Double>(); + + for (Integer t : finishTimes) { + double q = getIndividualQuality(t, makespan, deadline); + qualities.add(q); + quality += q; + } + + DecimalFormat df = new DecimalFormat("0.00"); + return Double.parseDouble(df.format(quality)); + } + + private static double getIndividualQuality(double time, double makespan, double deadline) { + + double quality = 2; + + if(time <=deadline) { + quality = 1; + } + else { + quality = (makespan - time) / (makespan - deadline); + } + + return 1 - quality; + } +} diff --git a/src/main/java/uk/ac/york/safire/optimisation/AlgType.java b/src/main/java/uk/ac/york/safire/optimisation/AlgType.java old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/optimisation/AuraLocalOptimisationEngine.java b/src/main/java/uk/ac/york/safire/optimisation/AuraLocalOptimisationEngine.java old mode 100644 new mode 100755 index c95401c699b71d08eac345617d2f5461815c4dbd..063d745352265d9405c5d838e290213d5a727137 --- a/src/main/java/uk/ac/york/safire/optimisation/AuraLocalOptimisationEngine.java +++ b/src/main/java/uk/ac/york/safire/optimisation/AuraLocalOptimisationEngine.java @@ -1,5 +1,6 @@ package uk.ac.york.safire.optimisation; +import java.util.ArrayList; import java.util.Comparator; import java.util.List; import java.util.Random; @@ -8,6 +9,9 @@ import java.util.function.Function; import java.util.function.Predicate; import java.util.stream.Collectors; +import uk.ac.york.aura.EA; +import uk.ac.york.aura.MOEAD; +import uk.ac.york.aura.MOEAD_RS; import uk.ac.york.aura.NSGA2; import uk.ac.york.aura.Operators; import uk.ac.york.aura.PopulationEntry; @@ -16,80 +20,111 @@ import uk.ac.york.safire.metrics.ConfigurationType; import uk.ac.york.safire.metrics.OptimisationArguments; import uk.ac.york.safire.metrics.OptimisationResult; import uk.ac.york.safire.metrics.SearchDirection; +import uk.ac.york.safire.optimisation.mitm.atb.BusinessCase; /////////////////////////////////// public final class AuraLocalOptimisationEngine extends OptimisationEngine.LocalOptimisationEngine { private static final int TOURNAMENT_SIZE = 3; - // private static final SearchDirection SEARCH_DIRECTION = SearchDirection.MAXIMIZING; + // private static final SearchDirection SEARCH_DIRECTION = + // SearchDirection.MAXIMIZING; private static final SearchDirection SEARCH_DIRECTION = SearchDirection.MINIMIZING; - - /////////////////////////////// - + + /////////////////////////////// + private final Random rng; - private final int maxGenerations; - + private final int maxGenerations; + /////////////////////////////// - - public AuraLocalOptimisationEngine( - ObjectiveFunction objectiveFunction, - int maxGenerations, - Random rng) { - + + public AuraLocalOptimisationEngine(ObjectiveFunction objectiveFunction, int maxGenerations, Random rng) { + super(objectiveFunction); - -// if( minEvaluations < 1 || minEvaluations > maxEvaluations ) -// throw new IllegalArgumentException(); - if( maxGenerations < 1 ) - throw new IllegalArgumentException(); + + // if( minEvaluations < 1 || minEvaluations > maxEvaluations ) + // throw new IllegalArgumentException(); + if (maxGenerations < 1) + throw new IllegalArgumentException(); this.rng = rng; - this.maxGenerations = maxGenerations; + this.maxGenerations = maxGenerations; } /////////////////////////////// - - private static List< Double > - objectiveValueRanges(ConfigurationType ct) { - return ct.getKeyObjectiveMetrics().stream().map( e -> e.valueType.max - e.valueType.min ).collect(Collectors.toList()); + + private static List<Double> objectiveValueRanges(ConfigurationType ct) { + return ct.getKeyObjectiveMetrics().stream().map(e -> e.valueType.max - e.valueType.min) + .collect(Collectors.toList()); } - - /////////////////////////////// - + + /////////////////////////////// + @Override public OptimisationResult optimise(OptimisationArguments args) { - - // final int maxEval = maxGenerations * populationSize; // OptmisationUtility.maxEvaluations(args.getUrgency(), args.getQuality(), minEvaluations, maxEvaluations); - - final Comparator< List< Double > > compareMultiObjective = Operators.compareMultiObjective(SEARCH_DIRECTION); - final BiFunction< Configuration, Configuration, Configuration > crossover = Operators.onePointCrossover(rng); - final Function< Configuration, Configuration > mutation = + + // final int maxEval = maxGenerations * populationSize; // + // OptmisationUtility.maxEvaluations(args.getUrgency(), args.getQuality(), + // minEvaluations, maxEvaluations); + + final Comparator<List<Double>> compareMultiObjective = Operators.compareMultiObjective(SEARCH_DIRECTION); // Minimizing + // comparator + final BiFunction<Configuration, Configuration, Configuration> crossover = Operators.onePointCrossover(rng); + final Function<Configuration, Configuration> mutation = // Operators.uniformMutation(rng); // Operators.onePointMutation(rng); // Operators.uniformMutation(rng); - Operators.hyperMutation(0.8,rng); - - jeep.lang.Diag.println( "maxGen: " + maxGenerations ); - - final Predicate< List< List< PopulationEntry > > > isFinished = (history) -> { -// jeep.lang.Diag.println( "iter: " + history.size() + " of " + maxGenerations ); - return history.size() >= maxGenerations; + Operators.hyperMutation(0.8, rng); + + // jeep.lang.Diag.println("maxGen: " + maxGenerations); + + final Predicate<List<List<PopulationEntry>>> isFinished = (history) -> { + // jeep.lang.Diag.println( "iter: " + history.size() + " of " + maxGenerations + // ); + return history.size() >= maxGenerations; }; - /////////////////////////// - - final List< PopulationEntry > bestFront = NSGA2.apply(args.getConfigurations(), - (ObjectiveFunction.LocalObjectiveFunction)getObjectiveFunction(), - compareMultiObjective, - crossover, - mutation, - isFinished, - objectiveValueRanges( args.getConfigurations().get(0).getConfigurationType() ), - TOURNAMENT_SIZE, - SEARCH_DIRECTION, - rng ); - - return new OptimisationResult( bestFront.stream().map( PopulationEntry::getConfiguration ).collect(Collectors.toList()) ); + List<PopulationEntry> bestFront = null; + + if (args.getConfigurations().get(0).getKeyObjectives().size() == 1) { + System.out.println("Single Objective Optimsation Start"); + PopulationEntry best = EA + .apply(args.getConfigurations(), (ObjectiveFunction.LocalObjectiveFunction) getObjectiveFunction(), + compareMultiObjective, Operators.proportionalSelection, crossover, mutation, isFinished, rng) + .getSecond(); + bestFront = new ArrayList<>(); + bestFront.add(best); + } else { + System.out.println("Multi-Objective Optimsation Start, OE number: " + args.getEngine()); + switch (args.getEngine()) { + case 0: + bestFront = NSGA2.apply(args.getConfigurations(), + (ObjectiveFunction.LocalObjectiveFunction) getObjectiveFunction(), compareMultiObjective, + crossover, mutation, isFinished, + objectiveValueRanges(args.getConfigurations().get(0).getConfigurationType()), TOURNAMENT_SIZE, + SEARCH_DIRECTION, rng); + break; + case 1: + MOEAD moead = new MOEAD(args.getConfigurations(), + (ObjectiveFunction.LocalObjectiveFunction) getObjectiveFunction(), crossover, mutation, + isFinished, objectiveValueRanges(args.getConfigurations().get(0).getConfigurationType()), + TOURNAMENT_SIZE, SEARCH_DIRECTION, rng); + bestFront = moead.apply(); + lastgeneration.addAll(moead.currentPopulation); + break; + case 2: + MOEAD_RS moead_rs = new MOEAD_RS(args.getConfigurations(), + (ObjectiveFunction.LocalObjectiveFunction) getObjectiveFunction(), crossover, mutation, + isFinished, objectiveValueRanges(args.getConfigurations().get(0).getConfigurationType()), + TOURNAMENT_SIZE, SEARCH_DIRECTION, rng); + bestFront = moead_rs.apply(); + break; + default: + break; + } + } + + return new OptimisationResult( + bestFront.stream().map(PopulationEntry::getConfiguration).collect(Collectors.toList())); } } diff --git a/src/main/java/uk/ac/york/safire/optimisation/ComeauBijectivePermutationHash.java b/src/main/java/uk/ac/york/safire/optimisation/ComeauBijectivePermutationHash.java old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/optimisation/ConfigurationUtilities.java b/src/main/java/uk/ac/york/safire/optimisation/ConfigurationUtilities.java old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/optimisation/ObjectiveFunction.java b/src/main/java/uk/ac/york/safire/optimisation/ObjectiveFunction.java old mode 100644 new mode 100755 index 867262e88ad018441fc79f1b406f5764430eaee3..4c5c650bee5d0637c2822a156214bd7147dba9ed --- a/src/main/java/uk/ac/york/safire/optimisation/ObjectiveFunction.java +++ b/src/main/java/uk/ac/york/safire/optimisation/ObjectiveFunction.java @@ -11,10 +11,8 @@ import java.util.concurrent.ExecutionException; import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; import java.util.concurrent.Future; -import java.util.concurrent.FutureTask; import org.apache.commons.lang3.builder.ToStringStyle; -import org.apache.commons.math3.util.Pair; import org.apache.http.HttpEntity; import org.apache.http.HttpResponse; import org.apache.http.client.HttpClient; @@ -29,7 +27,6 @@ import com.google.common.primitives.Doubles; import io.vavr.control.Either; import uk.ac.york.safire.metrics.Configuration; import uk.ac.york.safire.metrics.JsonConverter; -import uk.ac.york.safire.metrics.OptimisationResult; import uk.ac.york.safire.metrics.Value; /////////////////////////////////// @@ -37,184 +34,194 @@ import uk.ac.york.safire.metrics.Value; public abstract class ObjectiveFunction { public static final class Result { - - public final String objectiveFunctionStatusReport; - public final Map< String, Value > keyObjectiveMetrics; - + + public final String objectiveFunctionStatusReport; + public final Map<String, Value> keyObjectiveMetrics; + /////////////////////////// - - public Result(Map< String, Value > keyObjectiveMetrics, String objectiveFunctionStatusReport) { + + public Result(Map<String, Value> keyObjectiveMetrics, String objectiveFunctionStatusReport) { this.keyObjectiveMetrics = Collections.unmodifiableMap(keyObjectiveMetrics); this.objectiveFunctionStatusReport = objectiveFunctionStatusReport; } - + /////////////////////////// @Override public boolean equals(Object rhs) { - return org.apache.commons.lang3.builder.EqualsBuilder.reflectionEquals(this, rhs); + return org.apache.commons.lang3.builder.EqualsBuilder.reflectionEquals(this, rhs); } @Override public int hashCode() { - return org.apache.commons.lang3.builder.HashCodeBuilder.reflectionHashCode(this); + return org.apache.commons.lang3.builder.HashCodeBuilder.reflectionHashCode(this); } - + @Override public String toString() { - return org.apache.commons.lang3.builder.ToStringBuilder.reflectionToString(this,ToStringStyle.MULTI_LINE_STYLE); + return org.apache.commons.lang3.builder.ToStringBuilder.reflectionToString(this, + ToStringStyle.MULTI_LINE_STYLE); } } - + /////////////////////////////// - + public abstract int numObjectives(); - - // public abstract Result predictKeyObjectives(Configuration current, Map< String, Value > proposedControlMetrics); + + // public abstract Result predictKeyObjectives(Configuration current, Map< + // String, Value > proposedControlMetrics); // public abstract List<Double> objectiveValues(Result result); - // ensure: result.size() == numObjectives() + // ensure: result.size() == numObjectives() // public abstract Triple< Configuration, List<Double>, String > // public abstract Pair< Configuration, List<Double> > // public abstract Future< ObjectiveFunctionResult > - public abstract Callable< ObjectiveFunctionResult > - evaluate(ObjectiveFunctionArguments args); - // public abstract List<Double> value(Configuration current, Map< String, Value > proposedControlMetrics); + public abstract Callable<ObjectiveFunctionResult> evaluate(ObjectiveFunctionArguments args); + // public abstract List<Double> value(Configuration current, Map< String, Value + // > proposedControlMetrics); + + // public List<Double> value(Configuration current, Map< String, Value > + // proposedControlMetrics) { + // return objectiveValues(predictKeyObjectives(current,proposedControlMetrics)); + // } -// public List<Double> value(Configuration current, Map< String, Value > proposedControlMetrics) { -// return objectiveValues(predictKeyObjectives(current,proposedControlMetrics)); -// } + public static ObjectiveFunctionResult evaluateNowHelper(ObjectiveFunction of, ObjectiveFunctionArguments args) { - public static ObjectiveFunctionResult - evaluateNowHelper(ObjectiveFunction of, ObjectiveFunctionArguments args) { - final ExecutorService executor = Executors.newSingleThreadExecutor(); - + try { - final Future<ObjectiveFunctionResult> future = executor.submit( of.evaluate(args ) ); + final Future<ObjectiveFunctionResult> future = executor.submit(of.evaluate(args)); return future.get(); } catch (InterruptedException | ExecutionException e) { - throw new RuntimeException( - org.apache.commons.lang3.exception.ExceptionUtils.getStackTrace(e.getCause()) ); + throw new RuntimeException(org.apache.commons.lang3.exception.ExceptionUtils.getStackTrace(e.getCause())); } } - + /////////////////////////////// - + public static abstract class LocalObjectiveFunction extends ObjectiveFunction { - public abstract Result predictKeyObjectives(Configuration current, Map< String, Value > proposedControlMetrics); + public abstract Result predictKeyObjectives(Configuration current, Map<String, Value> proposedControlMetrics); + public abstract List<Double> objectiveValues(Result result); - // ensure: result.size() == numObjectives() - + // ensure: result.size() == numObjectives() + @Override public // Pair< Configuration, List<Double> > - Callable< ObjectiveFunctionResult > - evaluate(ObjectiveFunctionArguments args) { + Callable<ObjectiveFunctionResult> evaluate(ObjectiveFunctionArguments args) { jeep.lang.Diag.println(getClass().getName()); System.exit(0); - - return new Callable< ObjectiveFunctionResult >() { + + return new Callable<ObjectiveFunctionResult>() { @Override public ObjectiveFunctionResult call() { -jeep.lang.Diag.println(LocalObjectiveFunction.this.getClass().getName()); -System.exit(0); - final Result r = predictKeyObjectives(args.getConfiguration(),args.getProposedControlMetrics()); - final Configuration newConfig = Configuration.update(args.getConfiguration(), args.getProposedControlMetrics(), r.keyObjectiveMetrics); - return new ObjectiveFunctionResult(newConfig, objectiveValues(r) ); + jeep.lang.Diag.println(LocalObjectiveFunction.this.getClass().getName()); + System.exit(0); + final Result r = predictKeyObjectives(args.getConfiguration(), args.getProposedControlMetrics()); + final Configuration newConfig = Configuration.update(args.getConfiguration(), + args.getProposedControlMetrics(), r.keyObjectiveMetrics); + return new ObjectiveFunctionResult(newConfig, objectiveValues(r)); } }; - // return Pair.create(newConfig, objectiveValues(r) ); // ,r.objectiveFunctionStatusReport); + // return Pair.create(newConfig, objectiveValues(r) ); // + // ,r.objectiveFunctionStatusReport); } } - - /////////////////////////////// - + + /////////////////////////////// + public static final class RemoteHttpJsonObjectiveFunction extends ObjectiveFunction { private JsonConverter jsonConverter = new JsonConverter(); private URL url; private final ObjectiveFunction.LocalObjectiveFunction impl; - + /////////////////////////// - private static Either< String, String > - httpRequest(URL url, String body) throws IOException { - - HttpClient client = HttpClientBuilder.create().build(); + private static Either<String, String> httpRequest(URL url, String body) throws IOException { + + HttpClient client = HttpClientBuilder.create().build(); HttpPost post = new HttpPost(url.toString()); post.setHeader("Accept", "application/json"); - post.setHeader("Content-type", "application/json"); - HttpEntity requestEntity = new StringEntity(body,ContentType.APPLICATION_JSON); - post.setEntity( requestEntity ); + post.setHeader("Content-type", "application/json"); + HttpEntity requestEntity = new StringEntity(body, ContentType.APPLICATION_JSON); + post.setEntity(requestEntity); HttpResponse response = client.execute(post); HttpEntity responseEntity = response.getEntity(); - String responseStr = responseEntity == null ? response.getStatusLine().toString() : EntityUtils.toString(responseEntity); - + String responseStr = responseEntity == null ? response.getStatusLine().toString() + : EntityUtils.toString(responseEntity); + final int status = response.getStatusLine().getStatusCode(); - if( status >= 200 && status < 300 ) { - return Either.right( responseStr ); - } - else { - return Either.left( responseStr ); + if (status >= 200 && status < 300) { + return Either.right(responseStr); + } else { + return Either.left(responseStr); } } /////////////////////////// - + public RemoteHttpJsonObjectiveFunction(URL url, ObjectiveFunction.LocalObjectiveFunction impl) { this.url = url; - this.impl = impl; + this.impl = impl; } - - /////////////////////////// - public int numObjectives() { return impl.numObjectives(); }; + /////////////////////////// + + public int numObjectives() { + return impl.numObjectives(); + }; @Override public // Pair< Configuration, List<Double> > - Callable< ObjectiveFunctionResult > - evaluate(ObjectiveFunctionArguments args) { - return new Callable< ObjectiveFunctionResult >() { + Callable<ObjectiveFunctionResult> evaluate(ObjectiveFunctionArguments args) { + return new Callable<ObjectiveFunctionResult>() { @Override public ObjectiveFunctionResult call() { - // if( !Configuration.equivalentConfigurations( pop ) ) throw new IllegalArgumentException(); + // if( !Configuration.equivalentConfigurations( pop ) ) throw new + // IllegalArgumentException(); - // final long serialisationStartTime = System.currentTimeMillis(); + // final long serialisationStartTime = System.currentTimeMillis(); String json = jsonConverter.toJson(args); // final long serialisationEndTime = System.currentTimeMillis(); - // jeep.lang.Diag.println( "JSON serialisation time (millis):" + ((serialisationEndTime - serialisationStartTime)) ); - + // jeep.lang.Diag.println( "JSON serialisation time (millis):" + + // ((serialisationEndTime - serialisationStartTime)) ); + try { - Either< String, String > response = httpRequest( new URL( url.toString() + "/apply/" ), json ); - if( response.isLeft() ) { + Either<String, String> response = httpRequest(new URL(url.toString() + "/apply/"), json); + if (response.isLeft()) { // TODO: proper error handling - jeep.lang.Diag.println( "Objective function response: <<" + response + ">>" ); - return new ObjectiveFunctionResult( args.getConfiguration(), Doubles.asList( new double [ numObjectives() ] ) ); - } - else { + jeep.lang.Diag.println("Objective function response: <<" + response + ">>"); + return new ObjectiveFunctionResult(args.getConfiguration(), + Doubles.asList(new double[numObjectives()])); + } else { String responseStr = response.get(); // jeep.lang.Diag.println( responseStr ); final long startTime = System.currentTimeMillis(); // double [] result = jsonConverter.fromJson(responseStr, double [].class ); - final ObjectiveFunctionResult result = jsonConverter.fromJson(responseStr, ObjectiveFunctionResult.class ); + final ObjectiveFunctionResult result = jsonConverter.fromJson(responseStr, + ObjectiveFunctionResult.class); final long endTime = System.currentTimeMillis(); - // jeep.lang.Diag.println( "JSON deserialisation time (millis):" + ((endTime - startTime)) ); + // jeep.lang.Diag.println( "JSON deserialisation time (millis):" + ((endTime - + // startTime)) ); // jeep.lang.Diag.println( result ); - // jeep.lang.Diag.println( result.getControlledMetrics().equals( currentConfig.getControlledMetrics() ) ); - // return new ObjectiveFunctionResult( args.getConfiguration(), Doubles.asList( result ) ); + // jeep.lang.Diag.println( result.getControlledMetrics().equals( + // currentConfig.getControlledMetrics() ) ); + // return new ObjectiveFunctionResult( args.getConfiguration(), Doubles.asList( + // result ) ); return result; } - } - catch( IOException ioe ) { - // TODO: proper error handling - jeep.lang.Diag.println( "Error: <<" + ioe.getMessage() + ">>" ); + } catch (IOException ioe) { + // TODO: proper error handling + jeep.lang.Diag.println("Error: <<" + ioe.getMessage() + ">>"); // Do nothing, i.e. just return the existing controlled metrics // return new OptimisationResult( config.getControlledMetrics() ); - // return new ObjectiveFunctionResult( args.getConfiguration(), new OptimisationResult( args.getConfigurations() ) ); - final double [] dummyObjectiveValues = new double [ numObjectives() ]; + // return new ObjectiveFunctionResult( args.getConfiguration(), new + // OptimisationResult( args.getConfigurations() ) ); + final double[] dummyObjectiveValues = new double[numObjectives()]; Arrays.fill(dummyObjectiveValues, Double.NaN); - return new ObjectiveFunctionResult( args.getConfiguration(), Doubles.asList( dummyObjectiveValues ) ); + return new ObjectiveFunctionResult(args.getConfiguration(), + Doubles.asList(dummyObjectiveValues)); } } }; diff --git a/src/main/java/uk/ac/york/safire/optimisation/ObjectiveFunctionArguments.java b/src/main/java/uk/ac/york/safire/optimisation/ObjectiveFunctionArguments.java old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/optimisation/ObjectiveFunctionResult.java b/src/main/java/uk/ac/york/safire/optimisation/ObjectiveFunctionResult.java old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/optimisation/OptimisationEngine.java b/src/main/java/uk/ac/york/safire/optimisation/OptimisationEngine.java old mode 100644 new mode 100755 index 24f6b996bc3b129739bf81011d7b4a5bd3b23d65..735eedb5fff36d2eebc3dd2974df7af9d2a48d51 --- a/src/main/java/uk/ac/york/safire/optimisation/OptimisationEngine.java +++ b/src/main/java/uk/ac/york/safire/optimisation/OptimisationEngine.java @@ -2,6 +2,7 @@ package uk.ac.york.safire.optimisation; import java.io.IOException; import java.net.URL; +import java.util.ArrayList; import java.util.List; import org.apache.http.HttpEntity; @@ -14,15 +15,18 @@ import org.apache.http.impl.client.HttpClientBuilder; import org.apache.http.util.EntityUtils; import io.vavr.control.Either; -import uk.ac.york.safire.metrics.Configuration; +import uk.ac.york.aura.PopulationEntry; import uk.ac.york.safire.metrics.JsonConverter; import uk.ac.york.safire.metrics.OptimisationArguments; import uk.ac.york.safire.metrics.OptimisationResult; +import uk.ac.york.safire.optimisation.mitm.atb.BusinessCase; /////////////////////////////////// public interface OptimisationEngine { + public List<PopulationEntry> lastgeneration = new ArrayList<PopulationEntry>(); + public OptimisationResult optimise(OptimisationArguments args); /////////////////////////////// diff --git a/src/main/java/uk/ac/york/safire/optimisation/OptimisationEngine3.java b/src/main/java/uk/ac/york/safire/optimisation/OptimisationEngine3.java new file mode 100644 index 0000000000000000000000000000000000000000..e5a6df01f3631bbd2ee05321feeec70e859af434 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/optimisation/OptimisationEngine3.java @@ -0,0 +1,137 @@ +package uk.ac.york.safire.optimisation; + +import java.io.IOException; +import java.net.URL; + +import org.apache.http.HttpEntity; +import org.apache.http.HttpResponse; +import org.apache.http.client.HttpClient; +import org.apache.http.client.methods.HttpPost; +import org.apache.http.entity.ContentType; +import org.apache.http.entity.StringEntity; +import org.apache.http.impl.client.HttpClientBuilder; +import org.apache.http.util.EntityUtils; + +import io.vavr.control.Either; +import uk.ac.york.safire.metrics.JsonConverter; +import uk.ac.york.safire.metrics.OptimisationArguments; +import uk.ac.york.safire.metrics.OptimisationResult; + +/////////////////////////////////// + +public interface OptimisationEngine3 { + + public OptimisationIslandResult optimise(OptimisationArguments args); + + /////////////////////////////// + + public static class DoNothingOptimisationEngine implements OptimisationEngine3 { + + @Override + public OptimisationIslandResult optimise(OptimisationArguments args) { + return OptimisationIslandResult.constructFromConfigurations( args.getConfigurations(),args.getConfigurations()); + } + } + + /////////////////////////////// + + public static abstract class LocalOptimisationEngine implements OptimisationEngine3 { + + private final ObjectiveFunction objectiveFunction; + + /////////////////////////// + + public LocalOptimisationEngine(ObjectiveFunction objectiveFunction) { + this.objectiveFunction = objectiveFunction; + } + + /////////////////////////// + + public ObjectiveFunction getObjectiveFunction() { + return objectiveFunction; + } + } + + /////////////////////////////// + + public static final class RemoteHttpJsonOptimisationEngine implements OptimisationEngine3 { + + private JsonConverter jsonConverter = new JsonConverter(); + private URL url; + + /////////////////////////// + + private static Either< String, String > + httpRequest( URL url, String body) throws IOException { + + HttpClient client = HttpClientBuilder.create().build(); + HttpPost post = new HttpPost(url.toString()); + post.setHeader("Accept", "application/json"); + post.setHeader("Content-type", "application/json"); + HttpEntity requestEntity = new StringEntity(body,ContentType.APPLICATION_JSON); + post.setEntity( requestEntity ); + HttpResponse response = client.execute(post); + HttpEntity responseEntity = response.getEntity(); + String responseStr = responseEntity == null ? response.getStatusLine().toString() : EntityUtils.toString(responseEntity); + + final int status = response.getStatusLine().getStatusCode(); + if( status >= 200 && status < 300 ) { + return Either.right( responseStr ); + } + else { + return Either.left( responseStr ); + } + } + + /////////////////////////// + + public RemoteHttpJsonOptimisationEngine(URL url) { + this.url = url; + } + + /////////////////////////// + + @Override + public OptimisationIslandResult optimise(OptimisationArguments args) { + // if( !Configuration.equivalentConfigurations( pop ) ) throw new IllegalArgumentException(); + + jeep.lang.Diag.println( "population size:" + args.getConfigurations().size() ); + + final long serialisationStartTime = System.currentTimeMillis(); + String json = jsonConverter.toJson(args); + final long serialisationEndTime = System.currentTimeMillis(); + jeep.lang.Diag.println( "JSON serialisation time (millis):" + ((serialisationEndTime - serialisationStartTime)) ); + + try { + Either< String, String > response = httpRequest( new URL( url.toString() + "/apply/" ), json ); + if( response.isLeft() ) { + // TODO: proper error handling + jeep.lang.Diag.println( "Optimisation engine response: <<" + response + ">>" ); + // Do nothing, i.e. just return the argument + // return new OptimisationResult( config.getControlledMetrics() ); + return OptimisationIslandResult.constructFromConfigurations(args.getConfigurations(),args.getConfigurations()); + } + else { + String responseStr = response.get(); +// jeep.lang.Diag.println( responseStr ); + final long startTime = System.currentTimeMillis(); + OptimisationResult result = jsonConverter.fromJson(responseStr, OptimisationResult.class ); + final long endTime = System.currentTimeMillis(); + jeep.lang.Diag.println( "JSON deserialisation time (millis):" + ((endTime - startTime)) ); + // jeep.lang.Diag.println( result ); + // jeep.lang.Diag.println( result.getControlledMetrics().equals( currentConfig.getControlledMetrics() ) ); + return OptimisationIslandResult.constructFromConfigurations(result.getReconfigurations(),args.getConfigurations()); + } + } + catch( IOException ioe ) { + // TODO: proper error handling + jeep.lang.Diag.println( "Error: <<" + ioe.getMessage() + ">>" ); + // Do nothing, i.e. just return the existing controlled metrics + // return new OptimisationResult( config.getControlledMetrics() ); + return OptimisationIslandResult.constructFromConfigurations(args.getConfigurations() , args.getConfigurations()); + } + } + } +} + +// End /////////////////////////////////////////////////////////////// diff --git a/src/main/java/uk/ac/york/safire/optimisation/OptimisationIslandResult.java b/src/main/java/uk/ac/york/safire/optimisation/OptimisationIslandResult.java new file mode 100644 index 0000000000000000000000000000000000000000..8445911077470e22898e3d35b12e23af74998991 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/optimisation/OptimisationIslandResult.java @@ -0,0 +1,64 @@ +package uk.ac.york.safire.optimisation; + +import java.util.ArrayList; +import java.util.List; + +import uk.ac.york.aura.PopulationEntry; +import uk.ac.york.safire.metrics.Configuration; + + +public class OptimisationIslandResult { + private final List<PopulationEntry> front; + private final List<PopulationEntry> finalPopulation; + private double[][] caps; + + public OptimisationIslandResult(List<PopulationEntry> front, List<PopulationEntry> finalPopulation, double[][] caps) { + this.front=front; + this.finalPopulation=finalPopulation; + this.caps = caps; + } + + public static OptimisationIslandResult constructFromConfigurations(List<Configuration> front, List<Configuration> finalPopulation) { + List<PopulationEntry> populationEntriesFront = new ArrayList<PopulationEntry>(); + for(Configuration config: front) { + populationEntriesFront.add(new PopulationEntry(config,new ArrayList<Double>())); + } + + List<PopulationEntry> populationEntriesFinalPopulation = new ArrayList<PopulationEntry>(); + for(Configuration config: finalPopulation) { + populationEntriesFinalPopulation.add(new PopulationEntry(config,new ArrayList<Double>())); + } + + double[][] caps = new double[6][2]; + + return new OptimisationIslandResult(populationEntriesFront,populationEntriesFinalPopulation, caps); + } + +// public static OptimisationIslandResult constructFromPopulationEntryAndConfiguration(List<PopulationEntry> front, List<Configuration> finalPopulation) { +// +// List<PopulationEntry> populationEntriesFinalPopulation = new ArrayList<PopulationEntry>(); +// for(Configuration config: finalPopulation) { +// populationEntriesFinalPopulation.add(new PopulationEntry(config,new ArrayList<Double>())); +// } +// +// return new OptimisationIslandResult(front,populationEntriesFinalPopulation); +// } + +// public static OptimisationIslandResult constructFromPopulationEntries(List<PopulationEntry> front, List<PopulationEntry> finalPopulation) { +// return new OptimisationIslandResult(front,finalPopulation); +// } + + + public List<PopulationEntry> getFront() { + return front; + } + + public List<PopulationEntry> getFinalPopulation() { + return finalPopulation; + } + + public double[][] getCaps(){ + return caps; + } + +} diff --git a/src/main/java/uk/ac/york/safire/optimisation/Order9.java b/src/main/java/uk/ac/york/safire/optimisation/Order9.java old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/ConfigurationPG.java b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/ConfigurationPG.java old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/Edge.java b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/Edge.java old mode 100644 new mode 100755 index 5269ee70b27e2743d40e9461097758c3d2a1003a..baae9c26075f67111ffc8d6a507b8ea442cb9e8a --- a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/Edge.java +++ b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/Edge.java @@ -1,14 +1,8 @@ package uk.ac.york.safire.optimisation.maxplusplant; -import java.security.InvalidParameterException; import java.util.ArrayList; import java.util.Iterator; import java.util.List; -import java.util.stream.Collectors; - -import org.apache.commons.lang3.builder.ReflectionToStringBuilder; -import org.apache.commons.lang3.builder.ToStringBuilder; -import org.apache.commons.lang3.builder.ToStringStyle; public final class Edge { diff --git a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/Graph.java b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/Graph.java old mode 100644 new mode 100755 index bf559a95c47b8f1cce72fa7f875006a96b62046d..e50559679dc752538834b8f837af62cc825345ea --- a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/Graph.java +++ b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/Graph.java @@ -1,18 +1,18 @@ package uk.ac.york.safire.optimisation.maxplusplant; -import com.google.gson.Gson; - -import uk.ac.york.safire.metrics.Configuration; -import uk.ac.york.safire.metrics.Value; -import java.util.Map; -import java.util.Set; import java.security.InvalidParameterException; import java.util.ArrayList; import java.util.HashMap; import java.util.HashSet; import java.util.Iterator; import java.util.List; +import java.util.Map; +import java.util.Set; + +import com.google.gson.Gson; + +import uk.ac.york.safire.metrics.Value; public final class Graph { diff --git a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/MaxPlusAlgebra.java b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/MaxPlusAlgebra.java old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/Mode.java b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/Mode.java old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/ObjectiveValue.java b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/ObjectiveValue.java old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/Plant.java b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/Plant.java old mode 100644 new mode 100755 index a5b2682040916270896eb30b3274811b624eba8b..1d3f99621665d5347c157a52dcff6b190e4c4452 --- a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/Plant.java +++ b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/Plant.java @@ -2,7 +2,9 @@ package uk.ac.york.safire.optimisation.maxplusplant; import java.util.Map; -import uk.ac.york.safire.metrics.*; +import uk.ac.york.safire.metrics.Configuration; +import uk.ac.york.safire.metrics.ConfigurationType; +import uk.ac.york.safire.metrics.Value; public interface Plant { diff --git a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/PlantGenerator.java b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/PlantGenerator.java old mode 100644 new mode 100755 index 14dbc27df9947722391cf44352fd0ca85a0d3c5f..34516fb5087418f4b16bdbcc9f0e9154966958c7 --- a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/PlantGenerator.java +++ b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/PlantGenerator.java @@ -10,11 +10,16 @@ import java.util.Map; import java.util.Random; import java.util.Set; - - import com.google.common.collect.ImmutableList; -import uk.ac.york.safire.metrics.*; +import uk.ac.york.safire.metrics.ConfigurationType; +import uk.ac.york.safire.metrics.ControlledMetricType; +import uk.ac.york.safire.metrics.JsonConverter; +import uk.ac.york.safire.metrics.KeyObjectiveType; +import uk.ac.york.safire.metrics.ObservableMetricType; +import uk.ac.york.safire.metrics.SampleRate; +import uk.ac.york.safire.metrics.SearchDirection; +import uk.ac.york.safire.metrics.ValueType; /////////////////////////////////// diff --git a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/RunPlant.java b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/RunPlant.java old mode 100644 new mode 100755 index 3984dbd09f82d6608dc404a5247d2aa451416e18..c377ce71b912e96b3415cc3fc13fb8f77c77ac28 --- a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/RunPlant.java +++ b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/RunPlant.java @@ -1,25 +1,17 @@ package uk.ac.york.safire.optimisation.maxplusplant; -import java.io.IOException; import java.net.MalformedURLException; import java.net.URL; -import java.util.ArrayList; -import java.util.Collections; -import java.util.List; -import java.util.Map; import java.util.Random; - import com.google.gson.Gson; import jeep.math.ClosedOpenInterval; -import uk.ac.york.safire.metrics.Configuration; -import uk.ac.york.safire.metrics.JsonConverter; -import uk.ac.york.safire.metrics.OptimisationArguments; -import uk.ac.york.safire.metrics.OptimisationResult; -import uk.ac.york.safire.metrics.Utility; -import uk.ac.york.safire.metrics.Value; -import uk.ac.york.safire.optimisation.*; +import uk.ac.york.safire.optimisation.AlgType; +import uk.ac.york.safire.optimisation.JMetalLocalOptimisationEngine; +import uk.ac.york.safire.optimisation.MockObjectiveFunction; +import uk.ac.york.safire.optimisation.ObjectiveFunction; +import uk.ac.york.safire.optimisation.OptimisationEngine; // import scala.collection.JavaConverters.*; diff --git a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/ScaledPlantGenerator.scala b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/ScaledPlantGenerator.scala old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/SimplePlant.java b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/SimplePlant.java old mode 100644 new mode 100755 index 57db068af650711d4a7ebaccaa5123e0ab70e2fa..d15a1ef2f081344ffd5626cf4397410646bfc3da --- a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/SimplePlant.java +++ b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/SimplePlant.java @@ -1,24 +1,18 @@ package uk.ac.york.safire.optimisation.maxplusplant; import java.util.ArrayList; -import java.util.Arrays; import java.util.HashMap; import java.util.Iterator; import java.util.List; import java.util.Map; -import org.apache.commons.lang3.builder.ToStringBuilder; -import org.apache.commons.lang3.builder.ToStringStyle; import org.chocosolver.solver.Model; import org.chocosolver.solver.Solution; import org.chocosolver.solver.Solver; import org.chocosolver.solver.variables.IntVar; -import com.google.common.primitives.Doubles; - import uk.ac.york.safire.metrics.Configuration; import uk.ac.york.safire.metrics.ConfigurationType; -import uk.ac.york.safire.metrics.OptimisationResult; import uk.ac.york.safire.metrics.Value; import uk.ac.york.safire.metrics.ValueType; import uk.ac.york.safire.optimisation.ObjectiveFunction; diff --git a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/TestJMetalMOAlgorithms.scala b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/TestJMetalMOAlgorithms.scala old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/Vertex.java b/src/main/java/uk/ac/york/safire/optimisation/maxplusplant/Vertex.java old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/ATBSimulatorKafkaProducer.java b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/ATBSimulatorKafkaProducer.java old mode 100644 new mode 100755 index fd7279de0210f965779e3e276ef69dfd7aac6dd2..181a66994822e345444e8af80f4cfcf111c34705 --- a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/ATBSimulatorKafkaProducer.java +++ b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/ATBSimulatorKafkaProducer.java @@ -1,44 +1,24 @@ package uk.ac.york.safire.optimisation.mitm.atb; import java.time.Instant; -import java.util.ArrayList; import java.util.Collections; -import java.util.HashMap; import java.util.List; -import java.util.Map; import java.util.Properties; import java.util.Random; +import java.util.concurrent.ExecutionException; import java.util.concurrent.TimeUnit; -import java.util.stream.Collectors; -import java.util.stream.IntStream; -import java.util.stream.Stream; -import org.apache.commons.math3.util.Pair; -import org.apache.kafka.clients.consumer.KafkaConsumer; import org.apache.kafka.clients.producer.KafkaProducer; import org.apache.kafka.clients.producer.Producer; import org.apache.kafka.clients.producer.ProducerConfig; import org.apache.kafka.clients.producer.ProducerRecord; +import org.apache.kafka.clients.producer.RecordMetadata; import org.apache.kafka.common.serialization.StringSerializer; -import com.google.common.collect.Lists; -import com.google.common.primitives.Ints; - import jeep.math.LinearInterpolation; import uk.ac.york.safire.metrics.Configuration; import uk.ac.york.safire.metrics.ConfigurationType; -import uk.ac.york.safire.metrics.ControlledMetricType; -import uk.ac.york.safire.metrics.KeyObjectiveType; -import uk.ac.york.safire.metrics.ObservableMetricType; -import uk.ac.york.safire.metrics.SampleRate; -import uk.ac.york.safire.metrics.SearchDirection; import uk.ac.york.safire.metrics.Utility; -import uk.ac.york.safire.metrics.Value; -import uk.ac.york.safire.metrics.ValueType; -import uk.ac.york.safire.metrics.ValueVisitor.ValueStringVisitor; -import uk.ac.york.safire.optimisation.ia.Interval; - -import com.codepoetics.protonpack.StreamUtils; /** * From: @@ -46,93 +26,125 @@ import com.codepoetics.protonpack.StreamUtils; */ public final class ATBSimulatorKafkaProducer { - + public static volatile boolean isFinished = false; - + /////////////////////////////// - + public static class RecipeInfo { public final String name; - public final List< Integer > compatibleResources; - public final int instances; - // final int commodityProduced; - // final int executionTime; - + public final List<Integer> compatibleResources; + public final int instances; + // final int commodityProduced; + // final int executionTime; + /////////////////////////// - - public RecipeInfo( - String name, - int instances, - List< Integer > compatibleResources - // , int commodityProduced - // , int executionTime - ) { + + public RecipeInfo(String name, int instances, List<Integer> compatibleResources + // , int commodityProduced + // , int executionTime + ) { this.name = name; this.instances = instances; this.compatibleResources = Collections.unmodifiableList(compatibleResources); - // this.commodityProduced = commodityProduced; - // this.executionTime = executionTime; + // this.commodityProduced = commodityProduced; + // this.executionTime = executionTime; } } - + /////////////////////////// - - - static void run(int finalPercentAvailability, Producer<String, String> producer, - long updateTopicStringEveryMillis, long numTopicStringUpdates, BusinessCase bc, Random random) { - - for( long i=0; !isFinished && i<numTopicStringUpdates; ++i ) { + + static void run(int finalPercentAvailability, Producer<String, String> producer, long updateTopicStringEveryMillis, + long numTopicStringUpdates, BusinessCase bc, Random random) { + + for (long i = 0; !isFinished && i < numTopicStringUpdates; ++i) { final Instant now = Instant.now(); // get time in UTC - final int percentAvailability = (int) LinearInterpolation.apply(i, 0, numTopicStringUpdates, 100, finalPercentAvailability ); - // final ConfigurationType ct = hardwiredConfigurationType(percentAvailability, random); + final int percentAvailability = (int) LinearInterpolation.apply(i, 0, numTopicStringUpdates, 100, + finalPercentAvailability); final ConfigurationType ct = bc.getConfigurationType(percentAvailability, random); Configuration config = Utility.randomConfiguration(ct, random); - final String configJSON = new uk.ac.york.safire.metrics.JsonConverter().toJson(config); - final ProducerRecord<String, String> data = new ProducerRecord<String, String>("ResourceAvailability", "timestamp: " + now, configJSON ); - producer.send(data); - com.google.common.util.concurrent.Uninterruptibles.sleepUninterruptibly(updateTopicStringEveryMillis, TimeUnit.MILLISECONDS); + String configJSON = new uk.ac.york.safire.metrics.JsonConverter().toJson(config); + String finalJSON = ""; + switch (bc) { + case OAS: + finalJSON += "OAS"; + break; + case ONA: + finalJSON += "ONA"; + break; + case Electrolux: + finalJSON += "ElE"; + break; + + default: + break; + } + finalJSON += configJSON; + + UoYEarlyPrototypeDemo.writeSystem("ElEJsonExample", finalJSON); + + final ProducerRecord<String, String> data = new ProducerRecord<String, String>("ResourceAvailability", + "timestamp: " + now, finalJSON); + + + try { + RecordMetadata metadata = producer.send(data).get(); + System.out.println(" to partition " + metadata.partition() + " with offset " + metadata.offset()); + } catch (ExecutionException e) { + System.out.println("Error in sending record"); + System.out.println(e); + } catch (InterruptedException e) { + System.out.println("Error in sending record"); + System.out.println(e); + } + + System.out.println("json send, length: " + configJSON.length()); + com.google.common.util.concurrent.Uninterruptibles.sleepUninterruptibly(updateTopicStringEveryMillis, + TimeUnit.MILLISECONDS); } } - - /////////////////////////////// - - static Producer<String, String> - createATBProducer(String bootstrapServersConfig) { + + /////////////////////////////// + + static Producer<String, String> createATBProducer(String bootstrapServersConfig) { final Properties props = new Properties(); props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServersConfig); - + props.put(ProducerConfig.CLIENT_ID_CONFIG, "test.app.producer"); props.put(ProducerConfig.ACKS_CONFIG, "all"); props.put(ProducerConfig.RETRIES_CONFIG, 0); - props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName() ); - props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName() ); + props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName()); + props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName()); + + props.put("max.request.size", "" + 52428800); + // props.put("replica.fetch.max.bytes", "" + 1024 * 1024 * 41); /////////////////////////// - + return new KafkaProducer<String, String>(props); } - - /////////////////////////////// - + + /////////////////////////////// + public static void main(String[] args) { final Random random = new Random(0xDEABBEEF); final long updateTopicStringEveryMillis = 30 * 1000; final long numTopicStringUpdates = 1000; - final int percentAvailability = 100; - + final int percentAvailability = 100; + final String bootstrapServersConfig = "localhost:9092"; - + /////////////////////////// final Producer<String, String> atbProducer = createATBProducer(bootstrapServersConfig); try { final BusinessCase bc = BusinessCase.OAS; - run(percentAvailability, atbProducer, updateTopicStringEveryMillis, numTopicStringUpdates, bc, random ); + run(percentAvailability, atbProducer, updateTopicStringEveryMillis, numTopicStringUpdates, bc, random); } finally { - atbProducer.close(); + atbProducer.close(); } } } diff --git a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/BusinessCase.java b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/BusinessCase.java old mode 100644 new mode 100755 index 47c8c115d8e9585d51622aeaa126d1c23c6e7b16..68075141f9a05ec4ef8c471d134d657639e031b6 --- a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/BusinessCase.java +++ b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/BusinessCase.java @@ -1,49 +1,117 @@ package uk.ac.york.safire.optimisation.mitm.atb; -import java.util.HashMap; +import java.util.List; import java.util.Map; import java.util.Random; +import org.apache.commons.lang3.tuple.Pair; + import uk.ac.york.safire.metrics.ConfigurationType; import uk.ac.york.safire.optimisation.ObjectiveFunction; -import uk.ac.york.safire.optimisation.mitm.atb.*; +import uk.ac.york.safire.optimisation.mitm.atb.ATBSimulatorKafkaProducer.RecipeInfo; /////////////////////////////////// public enum BusinessCase { - + OAS { - + + @Override + public ConfigurationType getConfigurationType(int percentAvailability, Random random) { + return OasProductionLineConfigurationType.hardwiredConfigurationType(random, percentAvailability); + } + + @Override + public ObjectiveFunction.LocalObjectiveFunction getObjectiveFunction() { + return new OasProductionLineObjectiveFunction(OasProductionLineConfigurationType.getSetUps(), + OasProductionLineConfigurationType.getCommdities()); + } + @Override - public ConfigurationType getConfigurationType(int percentAvailability, Random random) { - return OasHardwiredConfigurationType.hardwiredConfigurationType(percentAvailability, random); + public double[] getWeight() { + return new double[] { 0.5, 0.125, 0.125, 0.125, 0.125 }; } - - @Override - public ObjectiveFunction.LocalObjectiveFunction - getObjectiveFunction() { - return new OasObjectiveFunction(OasHardwiredConfigurationType.hardwiredCommodities()); + + @Override + public int getNumberOfObjectives() { + List<String> objectives = OasProductionLineConfigurationType.getObjectives(); + + int objectiveSize = 0; + + for (String s : objectives) { + if (s.equals("discrepancy")) { + objectiveSize += OasProductionLineConfigurationType.getProducts().size(); + } else { + objectiveSize++; + } + } + + return objectiveSize; } + }, ONA { - @Override + @Override + public ConfigurationType getConfigurationType(int percentAvailability, Random random) { + final boolean isMultiobjective = true; + final Pair<Map<String, List<RecipeInfo>>, String[]> recipesAndResources = OnaConfigurationType + .recipesAndResourceNames(); + final Map<String, List<RecipeInfo>> recipeInfo = recipesAndResources.getLeft(); + final String[] resourceNames = recipesAndResources.getRight(); + + return OnaConfigurationType.configurationType(recipeInfo, resourceNames, isMultiobjective, random); + } + + @Override + public ObjectiveFunction.LocalObjectiveFunction getObjectiveFunction() { + return new PreemptionIAObjectiveFunction(OnaConfigurationType.getSetUps()); + } + + @Override + public double[] getWeight() { + return new double[] { 0.5, 0.25, 0.25 }; + } + + @Override + public int getNumberOfObjectives() { + return OnaConfigurationType.getObjectives().size(); + } + + }, + Electrolux { + @Override public ConfigurationType getConfigurationType(int percentAvailability, Random random) { - final boolean isMultiobjective = false; - return OnaHardwiredConfigurationType.hardwiredConfigurationType(percentAvailability, isMultiobjective, random); + return ElectroluxConfigurationType.hardwiredConfigurationType(random, percentAvailability); + } + + @Override + public ObjectiveFunction.LocalObjectiveFunction getObjectiveFunction() { + return new ElectroluxObjectiveFunction(ElectroluxConfigurationType.getSetUps(), + ElectroluxConfigurationType.getCommdities()); + } + + @Override + public double[] getWeight() { + return new double[] { 0.6, 0.4 }; + } + + @Override + public int getNumberOfObjectives() { + return ElectroluxConfigurationType.getObjectives().size(); } - - @Override - public ObjectiveFunction.LocalObjectiveFunction - getObjectiveFunction() { return new OnaSingleObjectiveFunction(); } + }; - + /////////////////////////////// - - public abstract ObjectiveFunction.LocalObjectiveFunction - getObjectiveFunction(); - - public abstract ConfigurationType - getConfigurationType(int percentAvailability, Random random); + + public abstract ObjectiveFunction.LocalObjectiveFunction getObjectiveFunction(); + + public abstract ConfigurationType getConfigurationType(int percentAvailability, Random random); + + public abstract double[] getWeight(); + + public abstract int getNumberOfObjectives(); + } // End /////////////////////////////////////////////////////////////// diff --git a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/CompilationTime.java b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/CompilationTime.java old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/ElectroluxConfigurationType.java b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/ElectroluxConfigurationType.java new file mode 100644 index 0000000000000000000000000000000000000000..f41359a718c7089bc981de62c62ae7b3c5279cd5 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/ElectroluxConfigurationType.java @@ -0,0 +1,593 @@ +package uk.ac.york.safire.optimisation.mitm.atb; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.HashMap; +import java.util.HashSet; +import java.util.List; +import java.util.Map; +import java.util.Map.Entry; +import java.util.Random; +import java.util.Set; +import java.util.stream.Collectors; +import java.util.stream.IntStream; + +import uk.ac.york.safire.factoryModel.Electrolux.CookingResource; +import uk.ac.york.safire.factoryModel.Electrolux.Device; +import uk.ac.york.safire.factoryModel.Electrolux.ElectroluxXMLReader; +import uk.ac.york.safire.factoryModel.Electrolux.ProductionProcess; +import uk.ac.york.safire.metrics.Configuration; +import uk.ac.york.safire.metrics.ConfigurationType; +import uk.ac.york.safire.metrics.ControlledMetricType; +import uk.ac.york.safire.metrics.KeyObjectiveType; +import uk.ac.york.safire.metrics.ObservableMetricType; +import uk.ac.york.safire.metrics.SampleRate; +import uk.ac.york.safire.metrics.SearchDirection; +import uk.ac.york.safire.metrics.Utility; +import uk.ac.york.safire.metrics.ValueType; +import uk.ac.york.safire.optimisation.mitm.atb.ATBSimulatorKafkaProducer.RecipeInfo; + +/////////////////////////////////// + +public class ElectroluxConfigurationType { + + // public static int extraTime = -1; + // public static int getUseExactTime = -1; + // public static int bestDuration = -1; + // public static int t1 = -1; + // public static int t2 = -1; + // public static int t3 = -1; + // public static int t4 = -1; + + public static ElectroluxXMLReader ElectroluxReader = null; + public static List<Device> devices; + public static List<CookingResource> lines; + public static List<ProductionProcess> processes; + public static List<SequenceDependentTaskInfo> setups; + public static List<String> objectives; + public static List<String> realResourceNames = null; + public static Map<String, List<String>> unAvailableTimes = new HashMap<>(); + + public static void presetup() { + if (ElectroluxReader == null) { + // ElectroluxXMLWriter.write(); + + ElectroluxReader = new ElectroluxXMLReader(); + ElectroluxReader.readElectroluxInput(); + + devices = ElectroluxReader.getResources(); + lines = ElectroluxReader.getLines(); + processes = ElectroluxReader.getProcesses(); + setups = null;// ElectroluxReader.getSetups(); + objectives = ElectroluxReader.getObjectivesList(); + + // extraTime = ElectroluxReader.getExtraTimeInPercent(); + // bestDuration = ElectroluxReader.getBestDuration(); + // getUseExactTime = ElectroluxReader.getUseExactTime(); + // t1 = ElectroluxReader.getT1(); + // t2 = ElectroluxReader.getT2(); + // t3 = ElectroluxReader.getT3(); + // t4 = ElectroluxReader.getT4(); + } + } + + public static List<SequenceDependentTaskInfo> getSetUps() { + presetup(); + return setups; + } + + public static List<String> getObjectives() { + presetup(); + return objectives; + } + + public static List<String> getProducts() { + presetup(); + List<String> commdities = new ArrayList<>(); + for (int i = 0; i < ElectroluxReader.getProcesses().size(); i++) { + String nameArray = ElectroluxReader.getProcesses().get(i).getName(); + commdities.add(nameArray); + } + + return commdities; + } + + public static Set<String> getCommdities() { + presetup(); + Set<String> commdities = new HashSet<>(); + for (int i = 0; i < ElectroluxConfigurationType.ElectroluxReader.getProcesses().size(); i++) { + String nameArray = ElectroluxConfigurationType.ElectroluxReader.getProcesses().get(i).getName(); + commdities.add(nameArray); + } + + return commdities; + } + + private static List<List<Device>> generateLines(List<List<Device>> lines, List<Device> devicesForOneLine) { + + List<List<Device>> newLines = new ArrayList<>(); + if (lines.size() == 0) { + + for (int i = 0; i < devicesForOneLine.size(); i++) { + ArrayList<Device> line = new ArrayList<>(); + line.add(devicesForOneLine.get(i)); + newLines.add(line); + } + } else { + + List<List<Device>> devicesForOneLineTemp = new ArrayList<List<Device>>(); + for (Device d : devicesForOneLine) { + ArrayList<Device> deviceTemp = new ArrayList<Device>(); + deviceTemp.add(d); + devicesForOneLineTemp.add(deviceTemp); + } + + for (int i = 0; i < lines.size(); i++) { + List<Device> deviceInLine = lines.get(i); + + for (int j = 0; j < devicesForOneLineTemp.size(); j++) { + List<Device> deviceToAdd = devicesForOneLineTemp.get(j); + + ArrayList<Device> newLine = new ArrayList<>(); + newLine.addAll(deviceInLine); + newLine.addAll(deviceToAdd); + newLines.add(newLine); + } + } + + } + + return newLines; + } + + public static ConfigurationType hardwiredConfigurationType(Random random, int availablePercentage) { + presetup(); + + List<List<List<Device>>> resourceNames1 = new ArrayList<>(); + + for (CookingResource line : lines) { + List<String> resourceName = line.getDeviceNames(); + List<List<Device>> devicesForOneLine = new ArrayList<>(); + for (String name : resourceName) { + List<Device> deviceByName = new ArrayList<Device>(); + for (Device d : devices) { + if (d.getName().equals(name)) + deviceByName.add(d); + } + devicesForOneLine.add(deviceByName); + } + resourceNames1.add(devicesForOneLine); + } + + List<List<List<Device>>> resourceNames2 = new ArrayList<>(); + + for (int i = 0; i < resourceNames1.size(); i++) { + List<List<Device>> resourcesInOneLine = new ArrayList<>(); + + for (List<Device> oneDevice : resourceNames1.get(i)) { + List<List<Device>> generatedLine = generateLines(resourcesInOneLine, oneDevice); + resourcesInOneLine = generatedLine; + } + + resourceNames2.add(resourcesInOneLine); + } + + List<List<String>> processedResources = new ArrayList<>(); + for (List<List<Device>> lines : resourceNames2) { + List<String> processedResource = new ArrayList<String>(); + for (List<Device> line : lines) { + String lineName = ""; + for (Device d : line) { + lineName += d.getType() + "(" + d.getId() + ") "; + } + processedResource.add(lineName.substring(0, lineName.length() - 1)); + } + processedResources.add(processedResource); + } + + for (Device d : devices) { + String[] deviceIDToArray = d.getName().split(" "); + String deviceID = deviceIDToArray[0] + "(" + deviceIDToArray[1] + ")"; + if (!unAvailableTimes.containsKey(deviceID) && d.getNotavailbaileTime().length() > 1) { + unAvailableTimes.put(deviceID, Arrays.asList(d.getNotavailbaileTime().split(" "))); + } + } + + // List<String> noAllocation = new ArrayList<String>(); + // noAllocation.add("No allocation"); + // processedResources.add(noAllocation); + + List<String> resourceNames = processedResources.stream().flatMap(List::stream).collect(Collectors.toList()); + + realResourceNames = new ArrayList<>(resourceNames); + + List<Integer> availability = new ArrayList<>(); + for (String resourceName : resourceNames) { + int result = 1; + + String[] singleDevices = resourceName.split(" "); + for (String singleDevice : singleDevices) { + for (Device d : devices) { + if (singleDevice.equals(d.getFormattedName()) && d.getAvailability() == 0) { + result = 0; + } + } + } + + availability.add(result); + } + + List<Integer> notAvailable = new ArrayList<>(); + for (int i = 0; i < availability.size(); i++) { + if (availability.get(i) == 0) + notAvailable.add(i); + } + + List<Integer> amountRequiredReal = new ArrayList<>(); + for (int i = 0; i < ElectroluxReader.getProcesses().size(); i++) { + amountRequiredReal.add(0); + } + + for (int i = 0; i < ElectroluxReader.getProcesses().size(); i++) { + int processAmount = Integer.parseInt(ElectroluxReader.getProcesses().get(i).getAmount()); + + List<Map.Entry<String, Integer>> keys = ElectroluxReader.getProcesses().get(i).getAmountProduced() + .entrySet().stream().collect(Collectors.toList()); + keys.sort((p1, p2) -> p1.getKey().compareTo(p2.getKey())); + + List<Integer> numberOfInstance = keys.stream() + .map(r -> (int) Math.ceil((double) processAmount / (double) r.getValue())) + .collect(Collectors.toList()); + + List<Integer> amountNotProduced = new ArrayList<Integer>(); + for (int j = 0; j < keys.size(); j++) { + List<CookingResource> comptiableResources = ElectroluxReader.getProcesses().get(i) + .getCompitableResource().get(keys.get(j).getKey()); + List<String> comptiableResourcesNames = comptiableResources.stream().map(p -> p.resourceName()) + .collect(Collectors.toList()); + // comptiableResourcesNames.add("No allocation"); + List<Integer> comptiables = new ArrayList<>(); + + for (String name : comptiableResourcesNames) { + int nameCount = 0; + for (String nameWithMode : resourceNames) { + String processedName = null; + if (nameWithMode != "No allocation") { + processedName = nameWithMode; + } else + processedName = "No allocation"; + + if (name.equals(processedName)) { + comptiables.add(nameCount); + } + nameCount++; + } + } + + boolean isEqual = true; + if (comptiables.size() != notAvailable.size()) + isEqual = false; + else { + for (int k = 0; k < notAvailable.size(); k++) { + if (notAvailable.get(k) != comptiables.get(k)) { + isEqual = false; + break; + } + } + } + + if (isEqual) { + int notProduced = numberOfInstance.get(j) * keys.get(j).getValue(); + amountNotProduced.add(notProduced); + } + + } + + int totalNotProduce = amountNotProduced.stream().mapToInt(k -> k.intValue()).sum(); + amountRequiredReal.set(i, totalNotProduce); + } + + final Map<String, List<RecipeInfo>> recipeInfo = new HashMap<>(); + final Map<String, Integer> mapRecipeNameToAmountRequired = new HashMap<>(); + final Map<String, Integer> mapRecipeInfoNameToAmountProduced = new HashMap<>(); + + for (int i = 0; i < ElectroluxReader.getProcesses().size(); i++) { + String productName = ElectroluxReader.getProcesses().get(i).getName(); + int processAmount = Integer.parseInt(ElectroluxReader.getProcesses().get(i).getAmount()) + + amountRequiredReal.get(i); + + List<Map.Entry<String, Integer>> keys = ElectroluxReader.getProcesses().get(i).getAmountProduced() + .entrySet().stream().collect(Collectors.toList()); + keys.sort((p1, p2) -> p1.getKey().compareTo(p2.getKey())); + + List<Integer> numberOfInstance = keys.stream() + .map(r -> (int) Math.ceil((double) processAmount / (double) r.getValue())) + .collect(Collectors.toList()); + + List<RecipeInfo> recipes = new ArrayList<RecipeInfo>(); + for (int j = 0; j < keys.size(); j++) { + List<CookingResource> comptiableResources = ElectroluxReader.getProcesses().get(i) + .getCompitableResource().get(keys.get(j).getKey()); + List<String> comptiableResourcesNames = comptiableResources.stream().map(p -> p.resourceName()) + .collect(Collectors.toList()); + // comptiableResourcesNames.add("No allocation"); + List<Integer> comptiables = new ArrayList<>(); + + for (String name : comptiableResourcesNames) { + int nameCount = 0; + for (String nameWithMode : resourceNames) { + String processedName = null; + if (nameWithMode != "No allocation") { + processedName = nameWithMode; + } else + processedName = "No allocation"; + + if (name.equals(processedName)) { + comptiables.add(nameCount); + } + nameCount++; + } + } + recipes.add(new RecipeInfo(keys.get(j).getKey(), numberOfInstance.get(j), comptiables)); + } + + recipeInfo.put(productName, recipes); + mapRecipeNameToAmountRequired.put(productName, processAmount); + mapRecipeInfoNameToAmountProduced.putAll(ElectroluxReader.getProcesses().get(i).getAmountProduced()); + } + + return makeConfigurationType(recipeInfo, resourceNames, mapRecipeNameToAmountRequired, + mapRecipeInfoNameToAmountProduced, random, availablePercentage); + } + + private static ConfigurationType makeConfigurationType(Map<String, List<RecipeInfo>> recipeInfo, + List<String> resourceNames, Map<String, Integer> mapRecipeNameToAmountRequired, + Map<String, Integer> mapRecipeInfoNameToAmountProduced, Random random, int availablePercentage) { + + final List<KeyObjectiveType> keyObjectiveTypes = new ArrayList<>(); + int deadline = 0; + + for (int i = 0; i < objectives.size(); i++) { + if (!objectives.get(i).equals("discrepancy")) { + + if (objectives.get(i).equals("quality")) { + keyObjectiveTypes.add(new KeyObjectiveType(objectives.get(i), + ValueType.realType(0, Double.MAX_VALUE), "n/a", SearchDirection.MINIMIZING)); + } else { + keyObjectiveTypes.add(new KeyObjectiveType(objectives.get(i), + ValueType.realType(0, Double.MAX_VALUE), "n/a", SearchDirection.MINIMIZING)); + } + + } else { + for (Map.Entry<String, List<RecipeInfo>> e : recipeInfo.entrySet()) + keyObjectiveTypes.add(new KeyObjectiveType(e.getKey() + " amount discrepancy score", + ValueType.realType(0, Double.MAX_VALUE), "n/a", SearchDirection.MINIMIZING)); + } + } + + final List<ControlledMetricType> controlledMetricTypes = new ArrayList<>(); + final List<ObservableMetricType> observableMetricTypes = new ArrayList<>(); + + for (String resourceName : resourceNames) { + int result = 1; + + String[] singleDevices = resourceName.split(" "); + for (String singleDevice : singleDevices) { + for (Device d : devices) { + if (singleDevice.equals(d.getFormattedName()) && d.getAvailability() == 0) { + result = 0; + } + } + } + + observableMetricTypes.add(new ObservableMetricType(resourceName + " availability", + ValueType.intType(result, result), "n/a", SampleRate.eventDriven)); + } + + for (int i = 0; i < processes.size(); i++) { + String productInfo = processes.get(i).getName(); + int urgency = processes.get(i).getUrgency(); + + observableMetricTypes.add(new ObservableMetricType(productInfo + " urgency " + urgency, + ValueType.intType(1, 1), "n/a", SampleRate.eventDriven)); + } + + for (Entry<String, List<String>> entry : unAvailableTimes.entrySet()) { + String resourceKey = entry.getKey(); + if (entry.getValue().size() > 0) { + observableMetricTypes.add(new ObservableMetricType( + resourceKey + " unAvailabileTime " + String.join("_", entry.getValue()), + ValueType.intType(1, 1), "n/a", SampleRate.eventDriven)); + } + } + + for (Map.Entry<String, Integer> e : mapRecipeInfoNameToAmountProduced.entrySet()) { + final Integer quantity = e.getValue(); + observableMetricTypes.add(new ObservableMetricType(e.getKey() + " amount produced", + ValueType.intType(quantity, quantity), "n/a", SampleRate.eventDriven)); + } + + for (Map.Entry<String, Integer> e : mapRecipeNameToAmountRequired.entrySet()) { + final Integer quantity = e.getValue(); + observableMetricTypes.add(new ObservableMetricType(e.getKey() + " amount required", + ValueType.intType(quantity, quantity), "n/a", SampleRate.eventDriven)); + } + + for (String resourceName : resourceNames) { + if (!resourceName.equals("No allocation")) { + String[] resourceArray = resourceName.split(" "); + for (int i = 0; i < resourceArray.length; i++) { + if (!resourceArray[i].contains("Pot")) + observableMetricTypes.add(new ObservableMetricType(resourceName + " mutex " + resourceArray[i], + ValueType.intType(1, 1), "n/a", SampleRate.eventDriven)); + } + } + + } + + int totalInstances = 0; + for (Map.Entry<String, List<RecipeInfo>> e : recipeInfo.entrySet()) + for (RecipeInfo r : e.getValue()) + totalInstances += r.instances; + + final List<Integer> priorities = IntStream.rangeClosed(0, totalInstances).boxed().collect(Collectors.toList()); + + int instanceCount = 0; + + for (Map.Entry<String, List<RecipeInfo>> e : recipeInfo.entrySet()) { + for (RecipeInfo r : e.getValue()) { + for (int i = 0; i < r.instances; ++i) { + final String instanceName = r.name + " " + i; + + int duration = processes.get(getIndex(r.name)).getProcessingTime().get(r.name); + deadline += duration; + String[] comptiableResources = r.compatibleResources.stream().map(index -> resourceNames.get(index)) + .toArray(String[]::new); + + comptiableResources = Arrays.copyOf(comptiableResources, comptiableResources.length + 1); + comptiableResources[comptiableResources.length - 1] = "No allocation"; + + final ValueType allocationValueType = ValueType.nominalType(instanceName + " allocation type ", + comptiableResources); + + controlledMetricTypes + .add(new ControlledMetricType(instanceName + " allocation", allocationValueType, "n/a")); + + final int priorityValue = priorities.get(instanceCount); + + +// controlledMetricTypes.add(new ControlledMetricType(instanceName + " priority", +// ValueType.intType(priorityValue, priorityValue), "n/a")); + controlledMetricTypes.add(new ControlledMetricType(instanceName + " priority", + ValueType.intType(0, totalInstances), "n/a")); + + int index = getIndex(r.name); + for (int j = 0; j < comptiableResources.length; j++) { + if (!comptiableResources[j].equals("No allocation")) { + final String recipeAndResourceNamePrefix = instanceName + " " + comptiableResources[j]; + + String predecessor = processes.get(index).getPredecessor().get(r.name); + + if (!predecessor.equals("")) { + observableMetricTypes.add(new ObservableMetricType( + recipeAndResourceNamePrefix + " executedAfter " + predecessor, + ValueType.intType(1, 1), "n/a", SampleRate.eventDriven)); + } + + int start = 0; + int end = processes.get(index).getProcessingTime().get(r.name); + int energy = processes.get(index).getEnergy().get(r.name); + int montary = processes.get(index).getMontary().get(r.name); + int quality = processes.get(index).getQuality().get(r.name); + + observableMetricTypes.add(new ObservableMetricType(recipeAndResourceNamePrefix + " start", + ValueType.intType(start, start), "n/a", SampleRate.eventDriven)); + observableMetricTypes.add(new ObservableMetricType(recipeAndResourceNamePrefix + " end", + ValueType.intType(end, end), "n/a", SampleRate.eventDriven)); + + observableMetricTypes.add(new ObservableMetricType(recipeAndResourceNamePrefix + " energy", + ValueType.intType(energy, energy), "n/a", SampleRate.eventDriven)); + observableMetricTypes.add(new ObservableMetricType(recipeAndResourceNamePrefix + " montary", + ValueType.intType(montary, montary), "n/a", SampleRate.eventDriven)); + observableMetricTypes.add(new ObservableMetricType(recipeAndResourceNamePrefix + " quality", + ValueType.intType(quality, quality), "n/a", SampleRate.eventDriven)); + } + + } + + instanceCount += 1; + } + } + } + + // double arrivalTime = (double) deadline * (double) (extraTime + 100) / + // (double) 100; + // int realDeadline = (int) Math.ceil(arrivalTime); + + // observableMetricTypes.add(new ObservableMetricType("useExactTime", + // ValueType.intType(getUseExactTime, getUseExactTime), "n/a", + // SampleRate.eventDriven)); + // + // observableMetricTypes.add(new ObservableMetricType("deadline", + // ValueType.intType(realDeadline, realDeadline), + // "n/a", SampleRate.eventDriven)); + // observableMetricTypes.add(new ObservableMetricType("bestDuration", + // ValueType.intType(bestDuration, bestDuration), "n/a", + // SampleRate.eventDriven)); + // + // observableMetricTypes + // .add(new ObservableMetricType("t1", ValueType.intType(t1, t1), "n/a", + // SampleRate.eventDriven)); + // observableMetricTypes + // .add(new ObservableMetricType("t2", ValueType.intType(t2, t2), "n/a", + // SampleRate.eventDriven)); + // observableMetricTypes + // .add(new ObservableMetricType("t3", ValueType.intType(t3, t3), "n/a", + // SampleRate.eventDriven)); + // observableMetricTypes + // .add(new ObservableMetricType("t4", ValueType.intType(t4, t4), "n/a", + // SampleRate.eventDriven)); + + int computationTime = 10; + for (int i = 0; i < resourceNames.size(); i++) { + String task = "override 1L water on "; + observableMetricTypes.add(new ObservableMetricType(task + resourceNames.get(i), + ValueType.intType(computationTime, computationTime), "n/a", SampleRate.eventDriven)); + } + + for (Map.Entry<String, List<RecipeInfo>> e : recipeInfo.entrySet()) { + for (RecipeInfo r : e.getValue()) { + if (r.name.contains("Boiled Water")) + continue; + final String instanceName = r.name; + String[] comptiableResources = r.compatibleResources.stream().map(index -> resourceNames.get(index)) + .toArray(String[]::new); + for (int j = 0; j < comptiableResources.length; j++) { + if (!comptiableResources[j].equals("No allocation")) { + final String recipeAndResourceNamePrefix = "override " + instanceName + " on " + + comptiableResources[j]; + + observableMetricTypes.add(new ObservableMetricType(recipeAndResourceNamePrefix, + ValueType.intType(computationTime, computationTime), "n/a", SampleRate.eventDriven)); + } + } + } + } + + // for(CookingResource line : lines) { + // String cookingResourceName = ""; + // for(Device d : line.getDevices()) { + // cookingResourceName+=d.getFormattedName()+" "; + // } + // cookingResourceName + // observableMetricTypes + // .add(new ObservableMetricType(cookingResourceName, + // ValueType.intType(line.getId(), line.getId()), "n/a", + // SampleRate.eventDriven)); + // } + + return new ConfigurationType.Explicit(keyObjectiveTypes, controlledMetricTypes, observableMetricTypes); + } + + private static int getIndex(String name) { + + int index = -1; + + for (int i = 0; i < processes.size(); i++) { + if (name.contains(processes.get(i).getName())) { + return i; + } + } + + return index; + } + + public static void main(String args[]) { + Random rng = new Random(0xDEADBEEF); + final ConfigurationType ct = ElectroluxConfigurationType.hardwiredConfigurationType(rng, 100); + final Configuration config = Utility.randomConfiguration(ct, rng); + String configJSON = new uk.ac.york.safire.metrics.JsonConverter().toJson(config); + UoYEarlyPrototypeDemo.writeSystem("EleExampleJSON", configJSON); + } + +} \ No newline at end of file diff --git a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/FormattedResult.java b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/FormattedResult.java new file mode 100644 index 0000000000000000000000000000000000000000..01a4b70c04f594e4abe11b149533f6c13c77b0c3 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/FormattedResult.java @@ -0,0 +1,76 @@ +package uk.ac.york.safire.optimisation.mitm.atb; + +public class FormattedResult { + + public static String getFormattedOut(String input, BusinessCase bc, String date, long memory) { + String[] taskInfo = input.split("\n"); + String resultsJson = "[\n\n"; + resultsJson+=date +"\n"; + resultsJson+=memory +"\n"; + resultsJson+= "\n"; + + int idCounter = 0; + for (int s = 0; s < taskInfo.length; s++) { + String[] toArray = taskInfo[s].split("_"); + if (toArray.length >= 12) { + String year = toArray[0]; + String month = toArray[1]; + String day = toArray[2]; + String startTime = toArray[3]; + String endTime = toArray[4]; + + String idRaw = idCounter + ""; + String id = ""; + if (idRaw.length() < 4) { + int blanklenth = 4 - idRaw.length(); + + for (int b = 0; b < blanklenth; b++) { + id += "0"; + } + id += idRaw; + } else { + id += idRaw; + } + + String productName = toArray[5]; + String recipeType = toArray[6]; + String instanceNumber = toArray[7]; + String amountProduced = toArray[8]; + String mixerID = toArray[9]; + String mixerName = toArray[10]; + String mixerStatus = toArray[11]; + + switch (bc) { + case OAS: + FormattedResultOAS oneResOAS = new FormattedResultOAS(year, month, day, startTime, endTime, id, + productName, recipeType, instanceNumber, amountProduced, mixerID, mixerName, mixerStatus); + if (s == taskInfo.length - 2) + resultsJson += oneResOAS.formattedOut(true); + else + resultsJson += oneResOAS.formattedOut(false); + break; + case Electrolux: + String potName = toArray[12]; + String potStatus = toArray[13]; + FormattedResultELE oneResELE = new FormattedResultELE(year, month, day, startTime, endTime, id, + productName, recipeType, instanceNumber, amountProduced, mixerID, mixerName, mixerStatus,potName,potStatus); + if (s == taskInfo.length - 2) + resultsJson += oneResELE.formattedOut(true); + else + resultsJson += oneResELE.formattedOut(false); + break; + + default: + break; + } + + idCounter++; + + } + } + resultsJson.substring(0, resultsJson.length() - 1); + resultsJson += "\n]"; + + return resultsJson; + } +} diff --git a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/FormattedResultELE.java b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/FormattedResultELE.java new file mode 100644 index 0000000000000000000000000000000000000000..ace0a7eac512acd02bd7a81a05f83753f602ee83 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/FormattedResultELE.java @@ -0,0 +1,81 @@ +package uk.ac.york.safire.optimisation.mitm.atb; + +public class FormattedResultELE { + + String year; + String month; + String day; + String startTime; + String endTime; + String endTime1; + + String id; + String productName; + String recipeType; + String instanceNumber; + String amountProduced; + String amountProduced1; + + String mixerID; + String mixerName; + String mixerStatus; + + String potName; + String potAvailability; + + public FormattedResultELE(String year, String month, String day, String startTime, String endTime, String id, + String productName, String recipeType, String instanceNumber, String amountProduced, String mixerID, + String mixerName, String mixerStatus, String PotName, String PotAvailability) { + + this.year = year; + this.month = month; + this.day = day; + this.startTime = startTime; + this.endTime = endTime; + this.endTime1 = endTime; + + this.id = id; + this.productName = productName; + this.recipeType = recipeType; + this.instanceNumber = instanceNumber; + this.amountProduced = amountProduced; + this.amountProduced1 = amountProduced; + + this.mixerID = mixerID; + this.mixerName = mixerName; + this.mixerStatus = mixerStatus; + + this.potName = PotName; + this.potAvailability = PotAvailability; + + } + + public String formattedOut(boolean lastOne) { + String out = "{\n"; + + out += "\"JAHR\": \"" + year + "\",\n"; + out += "\"MONAT\": \"" + month + "\",\n"; + out += "\"TAG\": \"" + day + "\",\n"; + out += "\"ORD_START_TIME\": \"" + startTime + "\",\n"; + out += "\"ENDE_TIME\": \"" + endTime + "\",\n"; + out += "\"PROD_ENDE_TIME\": \"" + endTime1 + "\",\n"; + + out += "\"BATCH_ID\": \"" + id + "\",\n"; + out += "\"MEAL_ID\": \"" + productName + "\",\n"; + out += "\"REZ_ID\": \"" + recipeType + "\",\n"; + out += "\"INSTANZ_NUMMER\": \"" + instanceNumber + "\",\n"; + out += "\"CHG_SOLL\": \"" + amountProduced + "\",\n"; + out += "\"CHG_IST\": \"" + amountProduced1 + "\",\n"; + out += "\"CZ\": \"" + mixerID + "\",\n"; + out += "\"CZ_NAME\": \"" + mixerName + "\",\n"; + out += "\"CZ_STATUS\": \"" + mixerStatus + "\",\n"; + out += "\"POT_NAME\": \"" + potName + "\",\n"; + out += "\"POT_STATUS\": \"" + potAvailability + "\"\n"; + if (lastOne) + out += "}\n"; + else + out += "},\n"; + + return out; + } +} diff --git a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/FormattedResultOAS.java b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/FormattedResultOAS.java new file mode 100644 index 0000000000000000000000000000000000000000..aa69d2392e28489adaf030edbb3a42902cb575bc --- /dev/null +++ b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/FormattedResultOAS.java @@ -0,0 +1,73 @@ +package uk.ac.york.safire.optimisation.mitm.atb; + +public class FormattedResultOAS { + + String year; + String month; + String day; + String startTime; + String endTime; + String endTime1; + + String id; + String productName; + String recipeType; + String instanceNumber; + String amountProduced; + String amountProduced1; + + String mixerID; + String mixerName; + String mixerStatus; + + public FormattedResultOAS(String year, String month, String day, String startTime, String endTime, String id, + String productName, String recipeType, String instanceNumber, String amountProduced, String mixerID, + String mixerName, String mixerStatus) { + + this.year = year; + this.month = month; + this.day = day; + this.startTime = startTime; + this.endTime = endTime; + this.endTime1 = endTime; + + this.id = id; + this.productName = productName; + this.recipeType = recipeType; + this.instanceNumber = instanceNumber; + this.amountProduced = amountProduced; + this.amountProduced1 = amountProduced; + + this.mixerID = mixerID; + this.mixerName = mixerName; + this.mixerStatus = mixerStatus; + + } + + public String formattedOut(boolean lastOne) { + String out = "{\n"; + + out += "\"JAHR\": \"" + year + "\",\n"; + out += "\"MONAT\": \"" + month + "\",\n"; + out += "\"TAG\": \"" + day + "\",\n"; + out += "\"ORD_START_TIME\": \"" + startTime + "\",\n"; + out += "\"ENDE_TIME\": \"" + endTime + "\",\n"; + out += "\"PROD_ENDE_TIME\": \"" + endTime1 + "\",\n"; + + out += "\"BATCH_ID\": \"" + id + "\",\n"; + out += "\"PROD_ID\": \"" + productName + "\",\n"; + out += "\"REZ_ID\": \"" + recipeType + "\",\n"; + out += "\"INSTANZ_NUMMER\": \"" + instanceNumber + "\",\n"; + out += "\"CHG_SOLL\": \"" + amountProduced + "\",\n"; + out += "\"CHG_IST\": \"" + amountProduced1 + "\",\n"; + out += "\"LINIE\": \"" + mixerID + "\",\n"; + out += "\"M_NAME\": \"" + mixerName + "\",\n"; + out += "\"M_STATUS\": \"" + mixerStatus + "\"\n"; + if (lastOne) + out += "}\n"; + else + out += "},\n"; + + return out; + } +} diff --git a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/NaturalOrderComparator.java b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/NaturalOrderComparator.java old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OasHardwiredConfigurationType.java b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OasHardwiredConfigurationType.java old mode 100644 new mode 100755 index 70cc745017539ce49ed27de46381f784a76f9235..2bcb66944a2ae413a9aabfe109cdef66b40b7179 --- a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OasHardwiredConfigurationType.java +++ b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OasHardwiredConfigurationType.java @@ -1,3 +1,4 @@ +/******************************** package uk.ac.york.safire.optimisation.mitm.atb; import java.util.ArrayList; @@ -46,40 +47,80 @@ public class OasHardwiredConfigurationType { return result; } +// public static Map< String, Integer > hardwiredAmountsRequired() { +// Map< String, Integer > amounts = new HashMap<>(); +// amounts.put( "Std Weiss", 145000 ); +// // amounts.put( "Std Weiss", 50 ); +// amounts.put( "Weiss Matt", 165000 ); +// amounts.put( "Super Glanz", 56000 ); +// amounts.put( "Weiss Basis", 126000 ); +// return amounts; +// } + public static Map< String, Integer > hardwiredAmountsRequired() { Map< String, Integer > amounts = new HashMap<>(); - amounts.put( "Std Weiss", 145000 ); - amounts.put( "Weiss Matt", 165000 ); - amounts.put( "Super Glanz", 56000 ); - amounts.put( "Weiss Basis", 126000 ); + amounts.put( "Std Weiss", 50 ); + amounts.put( "Weiss Matt", 1650 ); + amounts.put( "Super Glanz", 560 ); + amounts.put( "Weiss Basis", 1260 ); return amounts; } + + +// public static Map< String, Integer > hardwiredAmountsProduced() { +// Map< String, Integer > amounts = new HashMap<>(); +// // FIXME: values as per D3.1 p32 +// amounts.put( "Std Weiss A", 500 ); +// amounts.put( "Std Weiss B", 1000 ); +// amounts.put( "Std Weiss C", 1000 ); +// amounts.put( "Std Weiss D", 1000 ); +// +// amounts.put( "Weiss Matt A", 500 ); +// amounts.put( "Weiss Matt B", 1000 ); +// amounts.put( "Weiss Matt C", 1000 ); +// amounts.put( "Weiss Matt D", 1000 ); +// +// amounts.put( "Super Glanz A", 400 ); +// amounts.put( "Super Glanz B", 800 ); +// amounts.put( "Super Glanz C", 800 ); +// amounts.put( "Super Glanz D", 800 ); +// +// amounts.put( "Weiss Basis A", 600 ); +// amounts.put( "Weiss Basis B", 1200 ); +// amounts.put( "Weiss Basis C", 1200 ); +// amounts.put( "Weiss Basis D", 1200 ); +// +// return amounts; +// } + + // As per Piotr's email of 12:11 26th September 2018: + public static Map< String, Integer > hardwiredAmountsProduced() { Map< String, Integer > amounts = new HashMap<>(); // FIXME: values as per D3.1 p32 - amounts.put( "Std Weiss A", 5001 ); - amounts.put( "Std Weiss B", 10001 ); - amounts.put( "Std Weiss C", 10001 ); - amounts.put( "Std Weiss D", 10001 ); + amounts.put( "Std Weiss A", 28 ); + amounts.put( "Std Weiss B", 10 ); + amounts.put( "Std Weiss C", 10 ); + amounts.put( "Std Weiss D", 10 ); - amounts.put( "Weiss Matt A", 5001 ); - amounts.put( "Weiss Matt B", 10001 ); - amounts.put( "Weiss Matt C", 10001 ); - amounts.put( "Weiss Matt D", 10001 ); - - amounts.put( "Super Glanz A", 4001 ); - amounts.put( "Super Glanz B", 8001 ); - amounts.put( "Super Glanz C", 8001 ); - amounts.put( "Super Glanz D", 8001 ); - - amounts.put( "Weiss Basis A", 6001 ); - amounts.put( "Weiss Basis B", 12001 ); - amounts.put( "Weiss Basis C", 12001 ); - amounts.put( "Weiss Basis D", 12001 ); + amounts.put( "Weiss Matt A", 5 ); + amounts.put( "Weiss Matt B", 10 ); + amounts.put( "Weiss Matt C", 10 ); + amounts.put( "Weiss Matt D", 10 ); + + amounts.put( "Super Glanz A", 4 ); + amounts.put( "Super Glanz B", 8 ); + amounts.put( "Super Glanz C", 8 ); + amounts.put( "Super Glanz D", 8 ); + + amounts.put( "Weiss Basis A", 6 ); + amounts.put( "Weiss Basis B", 12 ); + amounts.put( "Weiss Basis C", 12 ); + amounts.put( "Weiss Basis D", 12 ); return amounts; - } + } /////////////////////////// @@ -96,9 +137,13 @@ public class OasHardwiredConfigurationType { final List< KeyObjectiveType > keyObjectiveTypes = new ArrayList<>(); keyObjectiveTypes.add( new KeyObjectiveType("makespan", ValueType.realType(0, Double.MAX_VALUE), "n/a", SearchDirection.MINIMIZING ) ); + // Key Objective to minimise surplus for each paint in recipe: - for( Map.Entry<String, List<RecipeInfo> > e: recipeInfo.entrySet() ) - keyObjectiveTypes.add( new KeyObjectiveType( e.getKey() + " surplus", ValueType.realType(0, Double.MAX_VALUE), "n/a", SearchDirection.MINIMIZING ) ); + for( Map.Entry<String, List<RecipeInfo> > e: recipeInfo.entrySet() ) { + // keyObjectiveTypes.add( new KeyObjectiveType( e.getKey() + " surplus", ValueType.realType(0, Double.MAX_VALUE), "n/a", SearchDirection.MINIMIZING ) ); + keyObjectiveTypes.add( + new KeyObjectiveType( e.getKey() + " amount discrepancy score", ValueType.realType(0.0, Double.MAX_VALUE), "n/a", SearchDirection.MINIMIZING ) ); + } /////////////////////////// @@ -230,21 +275,21 @@ public class OasHardwiredConfigurationType { ) ); recipeInfo.put( "Weiss Matt", Lists.newArrayList( - new RecipeInfo( "Weiss Matt A", 11, Ints.asList(0, 1,2,3,4,10) ), // 5000, 90 ), + // new RecipeInfo( "Weiss Matt A", 11, Ints.asList(0, 1,2,3,4,10) ), // 5000, 90 ), + new RecipeInfo( "Weiss Matt A", 9, Ints.asList(0, 1,2,3,4,10) ), // 5000, 90 ), new RecipeInfo( "Weiss Matt B", 4, Ints.asList(5,6,10) ), // 10000, 60 ), new RecipeInfo( "Weiss Matt C", 5, Ints.asList(7,8,10) ), // 10000, 45 ), new RecipeInfo( "Weiss Matt D", 2, Ints.asList(7,8,10) ) // , 10000, 45 ) ) ) ); - recipeInfo.put( "Super Glanz", Lists.newArrayList( new RecipeInfo( "Super Glanz A", 2, Ints.asList(0,1,2,3,4,10) ), // , 4000, 120 ), new RecipeInfo( "Super Glanz B", 4, Ints.asList(5,6,10) ), // , 8000, 90 ), new RecipeInfo( "Super Glanz C", 2, Ints.asList(7,8,10) ), // , 8000, 60 ), new RecipeInfo( "Super Glanz D", 0, Ints.asList(7,8,10) ) // , 10000, 60 ) ) ) ); - recipeInfo.put( "Weiss Basis", Lists.newArrayList( - new RecipeInfo( "Weiss Basis A", 11, Ints.asList(0,1,2,3,4,10) ), // , 6000, 60 ), + // new RecipeInfo( "Weiss Basis A", 11, Ints.asList(0,1,2,3,4,10) ), // , 6000, 60 ), + new RecipeInfo( "Weiss Basis A", 9, Ints.asList(0,1,2,3,4,10) ), // , 6000, 60 ), new RecipeInfo( "Weiss Basis B", 3, Ints.asList(5,6,10) ), // , 12000, 45 ), new RecipeInfo( "Weiss Basis C", 1, Ints.asList(7,8,10) ), // , 12000, 30 ), new RecipeInfo( "Weiss Basis D", 1, Ints.asList(7,8,10) ) // , 12000, 30 ) ) ); @@ -262,3 +307,350 @@ public class OasHardwiredConfigurationType { } // End /////////////////////////////////////////////////////////////// + +********************************/ + +package uk.ac.york.safire.optimisation.mitm.atb; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.HashMap; +import java.util.HashSet; +import java.util.List; +import java.util.Map; +import java.util.Random; +import java.util.Set; +import java.util.stream.Collectors; +import java.util.stream.IntStream; + +import com.google.common.collect.Lists; + +import uk.ac.york.safire.metrics.ConfigurationType; +import uk.ac.york.safire.metrics.ControlledMetricType; +import uk.ac.york.safire.metrics.KeyObjectiveType; +import uk.ac.york.safire.metrics.ObservableMetricType; +import uk.ac.york.safire.metrics.SampleRate; +import uk.ac.york.safire.metrics.SearchDirection; +import uk.ac.york.safire.metrics.ValueType; +import uk.ac.york.safire.optimisation.mitm.atb.ATBSimulatorKafkaProducer.RecipeInfo; + +/////////////////////////////////// + +public class OasHardwiredConfigurationType { + + /////////////////////////// + + public static final double[] MixerConfiguration = { 0.5, 0.2, 0.2 }; + public static final String Mixer_Code = "Mixer "; + public static final String Void_Mixer = "No allocation"; + public static final int[][] ExecutionTime = { { 90, 60, 45, 45 }, { 90, 60, 45, 45 }, { 120, 90, 60, 60 }, + { 60, 45, 30, 30 } }; + + public static int Number_Of_Mixers = 10; + public static int[] AmountRequired = { 10, 40, 30, 20 }; + + public static Set<String> hardwiredCommodities() { + final Set<String> result = new HashSet<>(); + result.add("Std Weiss"); +// result.add("Weiss Matt"); +// result.add("Super Glanz"); +// result.add("Weiss Basis"); + return result; + } + + public static Map<String, Integer> hardwiredAmountsRequired() { + Map<String, Integer> amounts = new HashMap<>(); + amounts.put("Std Weiss", AmountRequired[0]); +// amounts.put("Weiss Matt", AmountRequired[1]); +// amounts.put("Super Glanz", AmountRequired[2]); +// amounts.put("Weiss Basis", AmountRequired[3]); + return amounts; + } + + public static Map<String, Integer> hardwiredAmountsProduced() { + Map<String, Integer> amounts = new HashMap<>(); + // FIXME: values as per D3.1 p32 + amounts.put("Std Weiss A", 5); + amounts.put("Std Weiss B", 10); +// amounts.put("Std Weiss C", 10); +// amounts.put("Std Weiss D", 10); +// +// amounts.put("Weiss Matt A", 5); +// amounts.put("Weiss Matt B", 10); +// amounts.put("Weiss Matt C", 10); +// amounts.put("Weiss Matt D", 10); +// +// amounts.put("Super Glanz A", 4); +// amounts.put("Super Glanz B", 8); +// amounts.put("Super Glanz C", 8); +// amounts.put("Super Glanz D", 8); +// +// amounts.put("Weiss Basis A", 6); +// amounts.put("Weiss Basis B", 12); +// amounts.put("Weiss Basis C", 12); +// amounts.put("Weiss Basis D", 12); + + return amounts; + } + + public static ConfigurationType hardwiredConfigurationType(int percentAvailability, Random random) { + String[] resourceNames = new String[Number_Of_Mixers + 1]; + + for (int i = 0; i < Number_Of_Mixers; i++) { + resourceNames[i] = Mixer_Code + (i + 1); + } + resourceNames[Number_Of_Mixers] = Void_Mixer; + Map<String, Integer> mapRecipeNameToAmountRequired = hardwiredAmountsRequired(); + Map<String, Integer> mapRecipeInfoNameToAmountProduced = hardwiredAmountsProduced(); + + final Map<String, List<RecipeInfo>> recipeInfo = new HashMap<>(); + + List<List<Integer>> comptiableMixers = new ArrayList<List<Integer>>(); + + List<Integer> recipeAComptiable = new ArrayList<Integer>(); + int i = 0; + for (; i < Number_Of_Mixers * MixerConfiguration[0]; i++) { + recipeAComptiable.add(i); + + } + recipeAComptiable.add(resourceNames.length - 1); + comptiableMixers.add(recipeAComptiable); + + List<Integer> recipeBComptiable = new ArrayList<Integer>(); + for (; i < Number_Of_Mixers * MixerConfiguration[0] + Number_Of_Mixers * MixerConfiguration[1]; i++) { + recipeBComptiable.add(i); + + } + recipeBComptiable.add(resourceNames.length - 1); + comptiableMixers.add(recipeBComptiable); + + List<Integer> recipeCComptiable = new ArrayList<Integer>(); + for (; i < Number_Of_Mixers * MixerConfiguration[0] + Number_Of_Mixers * MixerConfiguration[1] + + Number_Of_Mixers * MixerConfiguration[2]; i++) { + recipeCComptiable.add(i); + + } + recipeCComptiable.add(resourceNames.length - 1); + comptiableMixers.add(recipeCComptiable); + + recipeInfo.put("Std Weiss", + Lists.newArrayList( + new RecipeInfo("Std Weiss A", + (int) Math.ceil((double) mapRecipeNameToAmountRequired.get("Std Weiss") + / (double) mapRecipeInfoNameToAmountProduced.get("Std Weiss A")), + comptiableMixers.get(0)), + new RecipeInfo("Std Weiss B", + (int) Math.ceil((double) mapRecipeNameToAmountRequired.get("Std Weiss") + / (double) mapRecipeInfoNameToAmountProduced.get("Std Weiss B")), + comptiableMixers.get(1)) +// , +// new RecipeInfo("Std Weiss C", +// (int) Math.ceil((double) mapRecipeNameToAmountRequired.get("Std Weiss") +// / (double) mapRecipeInfoNameToAmountProduced.get("Std Weiss C")), +// comptiableMixers.get(2)), +// new RecipeInfo("Std Weiss D", +// (int) Math.ceil((double) mapRecipeNameToAmountRequired.get("Std Weiss") +// / (double) mapRecipeInfoNameToAmountProduced.get("Std Weiss D")), +// comptiableMixers.get(2)) + )); + +// recipeInfo.put("Weiss Matt", +// Lists.newArrayList( +// new RecipeInfo("Weiss Matt A", +// (int) Math.ceil((double) mapRecipeNameToAmountRequired.get("Weiss Matt") +// / (double) mapRecipeInfoNameToAmountProduced.get("Weiss Matt A")), +// comptiableMixers.get(0)), +// new RecipeInfo("Weiss Matt B", +// (int) Math.ceil((double) mapRecipeNameToAmountRequired.get("Weiss Matt") +// / (double) mapRecipeInfoNameToAmountProduced.get("Weiss Matt B")), +// comptiableMixers.get(1)), +// new RecipeInfo("Weiss Matt C", +// (int) Math.ceil((double) mapRecipeNameToAmountRequired.get("Weiss Matt") +// / (double) mapRecipeInfoNameToAmountProduced.get("Weiss Matt C")), +// comptiableMixers.get(2)), +// new RecipeInfo("Weiss Matt D", +// (int) Math.ceil((double) mapRecipeNameToAmountRequired.get("Weiss Matt") +// / (double) mapRecipeInfoNameToAmountProduced.get("Weiss Matt D")), +// comptiableMixers.get(2)))); +// +// recipeInfo.put("Super Glanz", +// Lists.newArrayList( +// new RecipeInfo("Super Glanz A", +// (int) Math.ceil((double) mapRecipeNameToAmountRequired.get("Super Glanz") +// / (double) mapRecipeInfoNameToAmountProduced.get("Super Glanz A")), +// comptiableMixers.get(0)), // , +// +// new RecipeInfo("Super Glanz B", +// (int) Math.ceil((double) mapRecipeNameToAmountRequired.get("Super Glanz") +// / (double) mapRecipeInfoNameToAmountProduced.get("Super Glanz B")), +// comptiableMixers.get(1)), +// new RecipeInfo("Super Glanz C", +// (int) Math.ceil((double) mapRecipeNameToAmountRequired.get("Super Glanz") +// / (double) mapRecipeInfoNameToAmountProduced.get("Super Glanz C")), +// comptiableMixers.get(2)), +// new RecipeInfo("Super Glanz D", +// (int) Math.ceil((double) mapRecipeNameToAmountRequired.get("Super Glanz") +// / (double) mapRecipeInfoNameToAmountProduced.get("Super Glanz D")), +// comptiableMixers.get(2)))); +// +// recipeInfo.put("Weiss Basis", +// Lists.newArrayList( +// new RecipeInfo("Weiss Basis A", +// (int) Math.ceil((double) mapRecipeNameToAmountRequired.get("Weiss Basis") +// / (double) mapRecipeInfoNameToAmountProduced.get("Weiss Basis A")), +// comptiableMixers.get(0)), +// +// new RecipeInfo("Weiss Basis B", +// (int) Math.ceil((double) mapRecipeNameToAmountRequired.get("Weiss Basis") +// / (double) mapRecipeInfoNameToAmountProduced.get("Weiss Basis B")), +// comptiableMixers.get(1)), +// new RecipeInfo("Weiss Basis C", +// (int) Math.ceil((double) mapRecipeNameToAmountRequired.get("Weiss Basis") +// / (double) mapRecipeInfoNameToAmountProduced.get("Weiss Basis C")), +// comptiableMixers.get(2)), +// new RecipeInfo("Weiss Basis D", +// (int) Math.ceil((double) mapRecipeNameToAmountRequired.get("Weiss Basis") +// / (double) mapRecipeInfoNameToAmountProduced.get("Weiss Basis D")), +// comptiableMixers.get(2)))); + + // final Interval taskDurationInterval = new Interval(30 * 60, 120 * 60); // 0.5 + // to 2 hours + + //////////////////////////// + + return makeConfigurationType(recipeInfo, resourceNames, mapRecipeNameToAmountRequired, + mapRecipeInfoNameToAmountProduced, percentAvailability, random); + } + + /////////////////////////// + + private static ConfigurationType makeConfigurationType(Map<String, List<RecipeInfo>> recipeInfo, + String[] resourceNames, Map<String, Integer> mapRecipeNameToAmountRequired, + Map<String, Integer> mapRecipeInfoNameToAmountProduced, int percentAvailability, Random random) { + + if (percentAvailability < 0 || percentAvailability > 100) + throw new IllegalArgumentException( + "Expected percentage for percentAvailability, found: " + percentAvailability); + + final List<KeyObjectiveType> keyObjectiveTypes = new ArrayList<>(); + + keyObjectiveTypes.add(new KeyObjectiveType("makespan", ValueType.realType(0, Double.MAX_VALUE), "n/a", + SearchDirection.MINIMIZING)); + // Key Objective to minimise surplus for each paint in recipe: + for (Map.Entry<String, List<RecipeInfo>> e : recipeInfo.entrySet()) + keyObjectiveTypes.add(new KeyObjectiveType(e.getKey() + " amount discrepancy score", + ValueType.realType(0, Double.MAX_VALUE), "n/a", SearchDirection.MINIMIZING)); + + /////////////////////////// + + final List<ControlledMetricType> controlledMetricTypes = new ArrayList<>(); + final List<ObservableMetricType> observableMetricTypes = new ArrayList<>(); + + // 1. Observable metric for availability of each resource: + int numMixersUnavailable = 0; + for (String resourceName : resourceNames) { + // e.g. Mixer 1 availability (int type, domain: 0,1) + if (random.nextInt(100) < percentAvailability) + observableMetricTypes.add(new ObservableMetricType(resourceName + " availability", + ValueType.intType(1, 1), "n/a", SampleRate.eventDriven)); + else { + numMixersUnavailable += 1; + observableMetricTypes.add(new ObservableMetricType(resourceName + " availability", + ValueType.intType(0, 0), "n/a", SampleRate.eventDriven)); + } + } + + System.out.println(); + System.out.println("Mixers available: " + (resourceNames.length - numMixersUnavailable) + " (of " + + resourceNames.length + ")"); + + /////////////////////////// + + for (Map.Entry<String, Integer> e : mapRecipeInfoNameToAmountProduced.entrySet()) { + final Integer quantity = e.getValue(); + observableMetricTypes.add(new ObservableMetricType(e.getKey() + " amount produced", + ValueType.intType(quantity, quantity), "n/a", SampleRate.eventDriven)); + } + + for (Map.Entry<String, Integer> e : mapRecipeNameToAmountRequired.entrySet()) { + final Integer quantity = e.getValue(); + observableMetricTypes.add(new ObservableMetricType(e.getKey() + " amount required", + ValueType.intType(quantity, quantity), "n/a", SampleRate.eventDriven)); + } + + /////////////////////////// + + // count instances (used to set an upper bound on priority): + int totalInstances = 0; + for (Map.Entry<String, List<RecipeInfo>> e : recipeInfo.entrySet()) + for (RecipeInfo r : e.getValue()) + totalInstances += r.instances; + + // create a randomised list of priorities: + List<Integer> priorities = IntStream.rangeClosed(0, totalInstances).boxed().collect(Collectors.toList()); + Collections.shuffle(priorities, random); + + int instanceCount = 0; + int productsCount = 0; + for (Map.Entry<String, List<RecipeInfo>> e : recipeInfo.entrySet()) { + int receiptCount = 0; + for (RecipeInfo r : e.getValue()) { + int interval = ExecutionTime[productsCount][receiptCount]; + for (int i = 0; i < r.instances; ++i) { + final String instanceName = r.name + " " + i; + + // 2. Controlled metrics for allocation and for priority: + + final ValueType allocationValueType = ValueType.nominalType(instanceName + " allocation type ", + r.compatibleResources.stream().map(index -> resourceNames[index]).toArray(String[]::new)); + // e.g. Std Weiss A 1 allocation (nominal type, domain: Mixer 1, Mixer 2, Mixer + // 3, Mixer 4, Mixer 5} : + controlledMetricTypes + .add(new ControlledMetricType(instanceName + " allocation", allocationValueType, "n/a")); + + // e.g. Std Weiss A 1 priority (Int type) + final int priorityValue = priorities.get(instanceCount); + // ensure each priority value is unique - otherwise scheduling can get in an + // infinite loop: + controlledMetricTypes.add(new ControlledMetricType(instanceName + " priority", + ValueType.intType(priorityValue, priorityValue), "n/a")); + + // 3. Observable metric for start and end time of each recipe instance: + + // final int start = intervals.get(instanceCount).lower(); + // final int end = intervals.get(instanceCount).upper(); + // observableMetricTypes.add( new ObservableMetricType(instanceName + " start", + // ValueType.intType(start, start), "n/a", SampleRate.eventDriven ) ); + // observableMetricTypes.add( new ObservableMetricType(instanceName + " end", + // ValueType.intType(end, end), "n/a", SampleRate.eventDriven ) ); + + for (String resourceName : resourceNames) { + final String recipeAndResourceNamePrefix = instanceName + " " + resourceName; + + final int start = 0; // intervals.get(instanceCount).lower(); + final int end = interval; // intervals.get(instanceCount).upper(); + observableMetricTypes.add(new ObservableMetricType( + // instanceName + " start", + recipeAndResourceNamePrefix + " start", ValueType.intType(start, start), "n/a", + SampleRate.eventDriven)); + observableMetricTypes.add(new ObservableMetricType( + // instanceName + " end", + recipeAndResourceNamePrefix + " end", ValueType.intType(end, end), "n/a", + SampleRate.eventDriven)); + } + + instanceCount += 1; + } + receiptCount++; + } + productsCount++; + } + + return new ConfigurationType.Explicit(keyObjectiveTypes, controlledMetricTypes, observableMetricTypes); + } + + /////////////////////////////// + +} + +// End /////////////////////////////////////////////////////////////// diff --git a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OasProductionLineConfigurationType.java b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OasProductionLineConfigurationType.java new file mode 100644 index 0000000000000000000000000000000000000000..585269d9374c50b12c4894eb2733c795969c4d3f --- /dev/null +++ b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OasProductionLineConfigurationType.java @@ -0,0 +1,582 @@ +package uk.ac.york.safire.optimisation.mitm.atb; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.HashMap; +import java.util.HashSet; +import java.util.List; +import java.util.Map; +import java.util.Map.Entry; +import java.util.Random; +import java.util.Set; +import java.util.stream.Collectors; +import java.util.stream.IntStream; + +import uk.ac.york.safire.factoryModel.OAS.Device; +import uk.ac.york.safire.factoryModel.OAS.OASFactoryModel.DeviceType; +import uk.ac.york.safire.factoryModel.OAS.OASXMLReader; +import uk.ac.york.safire.factoryModel.OAS.ProductionLine; +import uk.ac.york.safire.factoryModel.OAS.ProductionProcess; +import uk.ac.york.safire.factoryModel.OAS.SubProcess; +import uk.ac.york.safire.factoryModel.OAS.SubProcessRelation; +import uk.ac.york.safire.metrics.ConfigurationType; +import uk.ac.york.safire.metrics.ControlledMetricType; +import uk.ac.york.safire.metrics.KeyObjectiveType; +import uk.ac.york.safire.metrics.ObservableMetricType; +import uk.ac.york.safire.metrics.SampleRate; +import uk.ac.york.safire.metrics.SearchDirection; +import uk.ac.york.safire.metrics.ValueType; +import uk.ac.york.safire.optimisation.mitm.atb.ATBSimulatorKafkaProducer.RecipeInfo; + +/////////////////////////////////// + +public class OasProductionLineConfigurationType { + + public static OASXMLReader OASReader = null; + + public static List<Device> devices; + public static List<ProductionLine> lines; + + public static List<ProductionProcess> processes; + + public static List<SubProcessRelation> relations; + public static List<SequenceDependentTaskInfo> setups; + + public static List<String> objectives; + + public static List<String> realResourceNames = null; + + // List<List<String>> unAvailableTimes = new ArrayList<>(); + // List<String> unAvailableTimesProcessed = new ArrayList<>(); + + public static Map<String, List<String>> unAvailableTimes = new HashMap<>(); + + public static void presetup() { + if (OASReader == null) { + + OASReader = new OASXMLReader(); + OASReader.readOASInput(); + + devices = OASReader.getResources(); + lines = OASReader.getLines(); + + processes = OASReader.getProcesses(); + relations = OASReader.getRelations(); + setups = OASReader.getSetups(); + + objectives = OASReader.getObjectivesList(); + } + + } + + public static List<SequenceDependentTaskInfo> getSetUps(){ + presetup(); + return setups; + } + public static List<String> getObjectives(){ + presetup(); + return objectives; + } + + public static List<String> getProducts() { + presetup(); + + List<String> commdities = new ArrayList<>(); + for (int i = 0; i < OASReader.getProcesses().size(); i++) { + String[] nameArray = OASReader.getProcesses().get(i).getName().split(" "); + commdities.add(nameArray[0] + " " + nameArray[1]); + } + + return commdities; + } + + public static Set<String> getCommdities() { + presetup(); + + Set<String> commdities = new HashSet<>(); + for (int i = 0; i < OasProductionLineConfigurationType.OASReader.getProcesses().size(); i++) { + String[] nameArray = OasProductionLineConfigurationType.OASReader.getProcesses().get(i).getName() + .split(" "); + commdities.add(nameArray[0] + " " + nameArray[1]); + } + return commdities; + } + + private static List<List<Device>> generateLines(List<List<Device>> lines, List<Device> devicesForOneLine) { + + List<List<Device>> newLines = new ArrayList<>(); + if (lines.size() == 0) { + + for (int i = 0; i < devicesForOneLine.size(); i++) { + ArrayList<Device> line = new ArrayList<>(); + line.add(devicesForOneLine.get(i)); + newLines.add(line); + } + } else { + + List<List<Device>> devicesForOneLineTemp = new ArrayList<List<Device>>(); + for (Device d : devicesForOneLine) { + ArrayList<Device> deviceTemp = new ArrayList<Device>(); + deviceTemp.add(d); + devicesForOneLineTemp.add(deviceTemp); + } + + for (int i = 0; i < lines.size(); i++) { + List<Device> deviceInLine = lines.get(i); + + for (int j = 0; j < devicesForOneLineTemp.size(); j++) { + List<Device> deviceToAdd = devicesForOneLineTemp.get(j); + + ArrayList<Device> newLine = new ArrayList<>(); + newLine.addAll(deviceInLine); + newLine.addAll(deviceToAdd); + newLines.add(newLine); + } + } + + } + + return newLines; + + } + + // private static int intCompare(List<Integer> c1, List<Integer> c2) { + // int result = c1.get(0).compareTo(c2.get(0)); + // + // if (result == 0) { + // result = c1.get(1).compareTo(c2.get(1)); + // } + // + // return result; + // } + + // private static List<List<Integer>> processingInterval(List<List<Integer>> + // notAvailableTimeAsIntList) { + // List<List<Integer>> notAvailableTimeAsIntListCopy = new + // ArrayList<List<Integer>>(notAvailableTimeAsIntList); + // + // for (int i = 0; i < notAvailableTimeAsIntList.size() - 1; i++) { + // int startTime = notAvailableTimeAsIntList.get(i).get(0); + // int endTime = notAvailableTimeAsIntList.get(i).get(1); + // + // for (int j = i + 1; j < notAvailableTimeAsIntList.size(); j++) { + // int startTimeCompare = notAvailableTimeAsIntList.get(j).get(0); + // int endTimeCompare = notAvailableTimeAsIntList.get(j).get(1); + // + // if (startTime >= startTimeCompare && endTime <= endTimeCompare) { + // notAvailableTimeAsIntListCopy.remove(notAvailableTimeAsIntList.get(i)); + // } + // if (startTime <= startTimeCompare && endTime >= endTimeCompare) { + // notAvailableTimeAsIntListCopy.remove(notAvailableTimeAsIntList.get(j)); + // } + // + // if (startTime < endTimeCompare && endTime >= startTimeCompare) { + // notAvailableTimeAsIntListCopy.remove(notAvailableTimeAsIntList.get(i)); + // notAvailableTimeAsIntListCopy.remove(notAvailableTimeAsIntList.get(j)); + // ArrayList<Integer> newInterval = new ArrayList<>(); + // newInterval.add(startTime); + // newInterval.add(endTimeCompare); + // notAvailableTimeAsIntListCopy.add(newInterval); + // } + // + // if (startTimeCompare < endTime && endTimeCompare >= startTime) { + // notAvailableTimeAsIntListCopy.remove(notAvailableTimeAsIntList.get(i)); + // notAvailableTimeAsIntListCopy.remove(notAvailableTimeAsIntList.get(j)); + // ArrayList<Integer> newInterval = new ArrayList<>(); + // newInterval.add(startTimeCompare); + // newInterval.add(endTime); + // notAvailableTimeAsIntListCopy.add(newInterval); + // } + // + // } + // + // } + // notAvailableTimeAsIntListCopy.sort((c1, c2) -> intCompare(c1, c2)); + // + // return notAvailableTimeAsIntListCopy; + // } + // + // private static boolean isGoodEnough(List<List<Integer>> + // notAvailableTimeAsIntList) { + // + // for (int i = 0; i < notAvailableTimeAsIntList.size() - 1; i++) { + // for (int j = i + 1; j < notAvailableTimeAsIntList.size(); j++) { + // if (notAvailableTimeAsIntList.get(i).get(1) >= + // notAvailableTimeAsIntList.get(j).get(0)) { + // return false; + // } + // } + // } + // + // return true; + // + // } + + public static ConfigurationType hardwiredConfigurationType(Random random, int availablePercentage) { + presetup(); + // List<String> productionLines = lines.stream().map(x -> + // x.resourceName()).collect(Collectors.toList()); + + List<List<List<Device>>> resourceNames1 = new ArrayList<>(); + + for (ProductionLine line : lines) { + List<String> resourceName = line.getDeviceNames(); + List<List<Device>> devicesForOneLine = new ArrayList<>(); + for (String name : resourceName) { + List<Device> deviceByName = new ArrayList<Device>(); + for (Device d : devices) { + if (d.getName().equals(name)) + deviceByName.add(d); + } + devicesForOneLine.add(deviceByName); + } + resourceNames1.add(devicesForOneLine); + } + + List<List<List<Device>>> resourceNames2 = new ArrayList<>(); + + for (int i = 0; i < resourceNames1.size(); i++) { + List<List<Device>> resourcesInOneLine = new ArrayList<>(); + + for (List<Device> oneDevice : resourceNames1.get(i)) { + List<List<Device>> generatedLine = generateLines(resourcesInOneLine, oneDevice); + resourcesInOneLine = generatedLine; + } + + resourceNames2.add(resourcesInOneLine); + } + + List<List<String>> processedResources = new ArrayList<>(); + for (List<List<Device>> lines : resourceNames2) { + List<String> processedResource = new ArrayList<String>(); + for (List<Device> line : lines) { + String lineName = ""; + String modeName = ""; + for (Device d : line) { + lineName += d.getType() + "(" + d.getId() + ") "; + modeName += d.getMode() + "-"; + } + lineName += modeName; + processedResource.add(lineName.substring(0, lineName.length() - 1)); + } + processedResources.add(processedResource); + } + + for (Device d : devices) { + String[] deviceIDToArray = d.getName().split(" "); + String deviceID = deviceIDToArray[0] + "(" + deviceIDToArray[1] + ")"; + if (!unAvailableTimes.containsKey(deviceID) && d.getNotavailbaileTime().length() > 1) { + unAvailableTimes.put(deviceID, Arrays.asList(d.getNotavailbaileTime().split(" "))); + } + } + + List<String> noAllocation = new ArrayList<String>(); + noAllocation.add("No allocation"); + processedResources.add(noAllocation); + + List<String> resourceNames = processedResources.stream().flatMap(List::stream).collect(Collectors.toList()); + + realResourceNames = new ArrayList<>(resourceNames); + + final Map<String, List<RecipeInfo>> recipeInfo = new HashMap<>(); + final Map<String, Integer> mapRecipeNameToAmountRequired = new HashMap<>(); + final Map<String, Integer> mapRecipeInfoNameToAmountProduced = new HashMap<>(); + + for (int i = 0; i < OASReader.getProcesses().size(); i++) { + String[] processNameArray = OASReader.getProcesses().get(i).getName().split(" "); + int processAmount = Integer.parseInt(OASReader.getProcesses().get(i).getAmount()); + + List<Map.Entry<String, Integer>> keys = OASReader.getProcesses().get(i).getAmountProduced().entrySet() + .stream().collect(Collectors.toList()); + keys.sort((p1, p2) -> p1.getKey().compareTo(p2.getKey())); + + List<Integer> numberOfInstance = keys.stream() + .map(r -> (int) Math.ceil((double) processAmount / (double) r.getValue())) + .collect(Collectors.toList()); + + List<RecipeInfo> recipes = new ArrayList<RecipeInfo>(); + for (int j = 0; j < keys.size(); j++) { + List<ProductionLine> comptiableResources = OASReader.getProcesses().get(i).getCompitableResource() + .get(keys.get(j).getKey()); + List<String> comptiableResourcesNames = comptiableResources.stream().map(p -> p.resourceName()) + .collect(Collectors.toList()); + comptiableResourcesNames.add("No allocation"); + List<Integer> comptiables = new ArrayList<>(); + + for (String name : comptiableResourcesNames) { + int nameCount = 0; + for (String nameWithMode : resourceNames) { + String processedName = null; + if (nameWithMode != "No allocation") { + processedName = nameWithMode.substring(0, nameWithMode.lastIndexOf(" ")); + } else + processedName = "No allocation"; + + if (name.equals(processedName)) { + comptiables.add(nameCount); + } + nameCount++; + } + } + recipes.add(new RecipeInfo(keys.get(j).getKey(), numberOfInstance.get(j), comptiables)); + } + + recipeInfo.put(processNameArray[0] + " " + processNameArray[1], recipes); + mapRecipeNameToAmountRequired.put(processNameArray[0] + " " + processNameArray[1], processAmount); + mapRecipeInfoNameToAmountProduced.putAll(OASReader.getProcesses().get(i).getAmountProduced()); + } + + return makeConfigurationType(recipeInfo, resourceNames, mapRecipeNameToAmountRequired, + mapRecipeInfoNameToAmountProduced, random, availablePercentage); + } + + private static ConfigurationType makeConfigurationType(Map<String, List<RecipeInfo>> recipeInfo, + List<String> resourceNames, Map<String, Integer> mapRecipeNameToAmountRequired, + Map<String, Integer> mapRecipeInfoNameToAmountProduced, Random random, int availablePercentage) { + + final List<KeyObjectiveType> keyObjectiveTypes = new ArrayList<>(); + + for (int i = 0; i < objectives.size(); i++) { + if (!objectives.get(i).equals("discrepancy")) { + keyObjectiveTypes.add(new KeyObjectiveType(objectives.get(i), ValueType.realType(0, Double.MAX_VALUE), + "n/a", SearchDirection.MINIMIZING)); + } else { + for (Map.Entry<String, List<RecipeInfo>> e : recipeInfo.entrySet()) + keyObjectiveTypes.add(new KeyObjectiveType(e.getKey() + " amount discrepancy score", + ValueType.realType(0, Double.MAX_VALUE), "n/a", SearchDirection.MINIMIZING)); + } + } + + final List<ControlledMetricType> controlledMetricTypes = new ArrayList<>(); + final List<ObservableMetricType> observableMetricTypes = new ArrayList<>(); + + for (String resourceName : resourceNames) { + int result = 1; + + String[] singleDevices = resourceName.split(" "); + for (String singleDevice : singleDevices) { + for (Device d : devices) { + if (singleDevice.equals(d.getFormattedName()) && d.getAvailability() == 0) { + result = 0; + } + } + } + + observableMetricTypes.add(new ObservableMetricType(resourceName + " availability", + ValueType.intType(result, result), "n/a", SampleRate.eventDriven)); + } + + List<String> processedNames = new ArrayList<>(); + for (String resourceName : resourceNames) { + if (!resourceName.equals("No allocation")) { + List<String> resourceNameList = new ArrayList<String>(Arrays.asList(resourceName.split(" "))); + resourceNameList.remove(resourceNameList.size() - 1); + String processedName = String.join(" ", resourceNameList); + if (!processedNames.contains(processedName)) + processedNames.add(processedName); + } + + } + + for (int i = 0; i < processes.size(); i++) { + String productInfo = processes.get(i).getName(); + int urgency = processes.get(i).getUrgency(); + + observableMetricTypes.add(new ObservableMetricType(productInfo + " urgency " + urgency, + ValueType.intType(1, 1), "n/a", SampleRate.eventDriven)); + } + + for (Entry<String, List<String>> entry : unAvailableTimes.entrySet()) { + String resourceKey = entry.getKey(); + if (entry.getValue().size() > 0) { + observableMetricTypes.add(new ObservableMetricType( + resourceKey + " unAvailabileTime " + String.join("_", entry.getValue()), + ValueType.intType(1, 1), "n/a", SampleRate.eventDriven)); + } + } + + for (Map.Entry<String, Integer> e : mapRecipeInfoNameToAmountProduced.entrySet()) { + final Integer quantity = e.getValue(); + observableMetricTypes.add(new ObservableMetricType(e.getKey() + " amount produced", + ValueType.intType(quantity, quantity), "n/a", SampleRate.eventDriven)); + } + + for (Map.Entry<String, Integer> e : mapRecipeNameToAmountRequired.entrySet()) { + final Integer quantity = e.getValue(); + observableMetricTypes.add(new ObservableMetricType(e.getKey() + " amount required", + ValueType.intType(quantity, quantity), "n/a", SampleRate.eventDriven)); + } + + for (String resourceName : resourceNames) { + if (!resourceName.equals("No allocation")) { + String[] resourceArray = resourceName.split(" "); + for (int i = 0; i < resourceArray.length - 1; i++) { + observableMetricTypes.add(new ObservableMetricType(resourceName + " mutex " + resourceArray[i], + ValueType.intType(1, 1), "n/a", SampleRate.eventDriven)); + } + } + + } + + int totalInstances = 0; + for (Map.Entry<String, List<RecipeInfo>> e : recipeInfo.entrySet()) + for (RecipeInfo r : e.getValue()) + totalInstances += r.instances; + + final List<Integer> priorities = IntStream.rangeClosed(0, totalInstances).boxed().collect(Collectors.toList()); + // Collections.shuffle(priorities, random); + + int instanceCount = 0; +// int productsCount = 0; + + for (Map.Entry<String, List<RecipeInfo>> e : recipeInfo.entrySet()) { + + for (RecipeInfo r : e.getValue()) { + int productsCount = getProductIndex(r.name); + List<SubProcess> subProcesses = processes.get(productsCount).getSubProcesses().get(r.name); + + for (int i = 0; i < r.instances; ++i) { + final String instanceName = r.name + " " + i; + + String[] comptiableResources = r.compatibleResources.stream().map(index -> resourceNames.get(index)) + .toArray(String[]::new); + final ValueType allocationValueType = ValueType.nominalType(instanceName + " allocation type ", + comptiableResources); + + controlledMetricTypes + .add(new ControlledMetricType(instanceName + " allocation", allocationValueType, "n/a")); + + final int priorityValue = priorities.get(instanceCount); + + controlledMetricTypes.add(new ControlledMetricType(instanceName + " priority", + ValueType.intType(priorityValue, priorityValue), "n/a")); + + for (int j = 0; j < comptiableResources.length - 1; j++) { + + List<String> deviceNamePattern = Arrays.asList(comptiableResources[j] + .substring(0, comptiableResources[j].lastIndexOf(" ")).split(" ")); + List<String> deviceModePattern = Arrays.asList(comptiableResources[j] + .substring(comptiableResources[j].lastIndexOf(" ") + 1, comptiableResources[j].length()) + .split("-")); + + for (SubProcess sp : subProcesses) { + List<List<Device>> spDeviceGroups = sp.getSubProcessGroup(); + + for (List<Device> oneGroup : spDeviceGroups) { + List<String> deviceToNames = oneGroup.stream() + .map(d -> d.getType() + "(" + d.getId() + ")").collect(Collectors.toList()); + List<String> deviceToMode = (oneGroup.stream().map(d -> d.getMode().toString()) + .collect(Collectors.toList())); + + List<Integer> matchingIndex = new ArrayList<>(); + for (String name : deviceToNames) { + if (deviceNamePattern.contains(name)) + matchingIndex.add(deviceNamePattern.indexOf(name)); + } + + if (matchingIndex.size() == deviceToNames.size()) { + boolean isMatched = true; + + for (int modeIndex = 0; modeIndex < deviceToMode.size(); modeIndex++) { + String mode = deviceToMode.get(modeIndex); + int patternIndex = matchingIndex.get(modeIndex); + String pattern = deviceModePattern.get(patternIndex); + if (!mode.equals(pattern)) { + isMatched = false; + } + } + + if (isMatched) { + int subGroupIndex = sp.getSubProcessGroup().indexOf(oneGroup); + final int start = 0; + final int end = sp.getProcessingTimes().get(subGroupIndex); + + final int energyCost = sp.getEnergyCosts().get(subGroupIndex); + final int montaryCost = sp.getMontaryCosts().get(subGroupIndex); + + String deviceNamePreFix = oneGroup.stream() + .map(d -> d.getType().toString().toLowerCase()) + .collect(Collectors.joining("_")); + + String recipeAndResourceNamePrefix = instanceName + " " + comptiableResources[j] + + " " + deviceNamePreFix; + + // System.out.println(recipeAndResourceNamePrefix + " " + end + " " + energyCost + // + " " + montaryCost); + + SubProcess spRelation = null; + for (SubProcessRelation relation : relations) { + if (relation.getDestination() == sp) { + spRelation = relation.getSource(); + } + } + + if (spRelation != null) { + List<DeviceType> taskExecutedBeforeDeviceType = Arrays + .asList(spRelation.getType()); + List<String> taskExecutedBeforePrefix = taskExecutedBeforeDeviceType + .stream().map(dt -> dt.toString().toLowerCase()) + .collect(Collectors.toList()); + + String taskBefore = String.join("_", taskExecutedBeforePrefix); + + observableMetricTypes.add(new ObservableMetricType( + recipeAndResourceNamePrefix + " executedAfter " + taskBefore, + ValueType.intType(1, 1), "n/a", SampleRate.eventDriven)); + } + +// String obs = recipeAndResourceNamePrefix + "_start end energy montary" + "_" +// + start + " " + end + " " + energyCost + " " + montaryCost; +// observableMetricTypes.add(new ObservableMetricType(obs, ValueType.intType(1, 1), +// "n/a", SampleRate.eventDriven)); + + observableMetricTypes.add(new ObservableMetricType( + recipeAndResourceNamePrefix + " start", ValueType.intType(start, start), + "n/a", SampleRate.eventDriven)); + observableMetricTypes + .add(new ObservableMetricType(recipeAndResourceNamePrefix + " end", + ValueType.intType(end, end), "n/a", SampleRate.eventDriven)); + + observableMetricTypes + .add(new ObservableMetricType(recipeAndResourceNamePrefix + " energy", + ValueType.intType(energyCost, energyCost), "n/a", + SampleRate.eventDriven)); + observableMetricTypes + .add(new ObservableMetricType(recipeAndResourceNamePrefix + " montary", + ValueType.intType(montaryCost, montaryCost), "n/a", + SampleRate.eventDriven)); + + } + } + + } + + } + + } + + instanceCount += 1; + } + } +// productsCount++; + } + + return new ConfigurationType.Explicit(keyObjectiveTypes, controlledMetricTypes, observableMetricTypes); + } + + private static int getProductIndex(String name) { + String[] name_array = name.split(" "); + String key = name_array[0] + " " + name_array[1]; + for(int i=0; i<processes.size();i++) { + if(processes.get(i).getName().contains(key)) { + return i; + } + } + + + System.err.print("cannot get product via given name."); + System.exit(-1); + return -1; + } + +} \ No newline at end of file diff --git a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OasProductionLineHardwiredConfigurationType.java b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OasProductionLineHardwiredConfigurationType.java old mode 100644 new mode 100755 index 56b6795f3e0748d71105899698bfdb249a2929b1..aac167f57db05c72762062fddb3c137a3902f95b --- a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OasProductionLineHardwiredConfigurationType.java +++ b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OasProductionLineHardwiredConfigurationType.java @@ -1,7 +1,6 @@ package uk.ac.york.safire.optimisation.mitm.atb; import java.util.ArrayList; -import java.util.Collections; import java.util.HashMap; import java.util.List; import java.util.Map; @@ -10,7 +9,6 @@ import java.util.stream.Collectors; import java.util.stream.IntStream; import com.google.common.collect.Lists; -import com.google.common.primitives.Ints; import uk.ac.york.safire.metrics.ConfigurationType; import uk.ac.york.safire.metrics.ControlledMetricType; @@ -26,182 +24,293 @@ import uk.ac.york.safire.optimisation.mitm.atb.ATBSimulatorKafkaProducer.RecipeI public class OasProductionLineHardwiredConfigurationType { + public static final int[][] ExecutionTime = { { 100, 100, 100, 100 }, { 100, 100, 45, 45 }, { 120, 90, 60, 60 }, + { 60, 45, 30, 30 } }; + private static int randomInRange(int min, int max, Random rng) { - if (min >= max) - throw new IllegalArgumentException(); + if (min >= max) + throw new IllegalArgumentException(); - return rng.nextInt((max - min) + 1) + min; + return rng.nextInt((max - min) + 1) + min; } - - /////////////////////////// - public static ConfigurationType - makeConfigurationType(Map< String, List<RecipeInfo> > recipeInfo, List< String > resourceNames, Interval taskDurationInterval, Random random) { - - final List< KeyObjectiveType > keyObjectiveTypes = new ArrayList<>(); - keyObjectiveTypes.add( new KeyObjectiveType("makespan", ValueType.realType(0, Double.MAX_VALUE), "n/a", SearchDirection.MINIMIZING ) ); - - final List< ControlledMetricType > controlledMetricTypes = new ArrayList<>(); - final List< ObservableMetricType > observableMetricTypes = new ArrayList<>(); + public static final class ProductionLineInfo { + final String name; + final int siloID; + final int mixerID; + final int tankID; + + public ProductionLineInfo(String name, int siloID, int mixerIndex, int tankID) { + this.name = name; + this.siloID = siloID; + this.mixerID = mixerIndex; + this.tankID = tankID; + } + + public String resourceName() { + return "Silo(" + siloID + ") Mixer(" + mixerID + ") Tank(" + tankID + ")"; + } + + public String getName() { + return name; + } + } + + public static List<ProductionLineInfo> generateProductionLines() { + List<ProductionLineInfo> result = new ArrayList<>(); + // for (String recipeId : recipeIds) + // for (int i = 0; i < numMixers; ++i) + // result.add(new ProductionLineInfo(recipeId, i)); + + result.add(new ProductionLineInfo("ProductionLine 1", 1, 1, 1)); + result.add(new ProductionLineInfo("ProductionLine 2", 1, 2, 1)); + result.add(new ProductionLineInfo("ProductionLine 3", 2, 3, 1)); + result.add(new ProductionLineInfo("ProductionLine 4", 2, 4, 1)); + result.add(new ProductionLineInfo("ProductionLine 5", 3, 5, 1)); + result.add(new ProductionLineInfo("ProductionLine 6", 3, 6, 2)); + result.add(new ProductionLineInfo("ProductionLine 7", 4, 7, 2)); + result.add(new ProductionLineInfo("ProductionLine 8", 4, 8, 2)); + result.add(new ProductionLineInfo("ProductionLine 9", 5, 9, 2)); + result.add(new ProductionLineInfo("ProductionLine 10", 5, 10, 2)); + + return result; + } + + /////////////////////////////// + + public static Map<String, Integer> hardwiredAmountsProduced() { + Map<String, Integer> amounts = new HashMap<>(); + // FIXME: values as per D3.1 p32 + amounts.put("Std Weiss A", 5); + amounts.put("Std Weiss B", 10); + amounts.put("Std Weiss C", 10); + amounts.put("Std Weiss D", 10); + + amounts.put("Weiss Matt A", 5); + amounts.put("Weiss Matt B", 10); + amounts.put("Weiss Matt C", 10); + amounts.put("Weiss Matt D", 10); + + amounts.put("Super Glanz A", 4); + amounts.put("Super Glanz B", 8); + amounts.put("Super Glanz C", 8); + amounts.put("Super Glanz D", 8); + + amounts.put("Weiss Basis A", 6); + amounts.put("Weiss Basis B", 12); + amounts.put("Weiss Basis C", 12); + amounts.put("Weiss Basis D", 12); + + return amounts; + } + + public static int[] AmountRequired = { 45, 40, 30, 20 }; + + public static ConfigurationType hardwiredConfigurationType(Random random, List<RecipeInfo> recipeInfoList) { + // final String[] recipeIds = { "Std Weiss", "Weiss Matt", "Super Glanz", "Weiss + // Basis" }; + + final List<ProductionLineInfo> productionLineInfo = generateProductionLines(); + productionLineInfo.forEach(x -> System.out.println(x.resourceName())); + + final List<String> resourceNames = productionLineInfo.stream().map(x -> x.resourceName()) + .collect(Collectors.toList()); + + final Map<String, List<RecipeInfo>> recipeInfo = new HashMap<>(); + + recipeInfo.put("Std Weiss", Lists.newArrayList( + new RecipeInfo("Std Weiss A", 9, IntStream.rangeClosed(0, 4).boxed().collect(Collectors.toList())), + new RecipeInfo("Std Weiss B", 5, IntStream.rangeClosed(5, 6).boxed().collect(Collectors.toList())), + new RecipeInfo("Std Weiss C", 5, IntStream.rangeClosed(7, 9).boxed().collect(Collectors.toList())), + new RecipeInfo("Std Weiss D", 5, IntStream.rangeClosed(7, 9).boxed().collect(Collectors.toList())))); + + recipeInfo.put("Weiss Matt", Lists.newArrayList( + new RecipeInfo("Weiss Matt A", 5, IntStream.rangeClosed(0, 4).boxed().collect(Collectors.toList())), + new RecipeInfo("Weiss Matt B", 2, IntStream.rangeClosed(5, 6).boxed().collect(Collectors.toList())), + new RecipeInfo("Weiss Matt C", 5, IntStream.rangeClosed(7, 9).boxed().collect(Collectors.toList())), + new RecipeInfo("Weiss Matt D", 2, IntStream.rangeClosed(7, 9).boxed().collect(Collectors.toList())))); + + // recipeInfo.put("Super Glanz", Lists.newArrayList( + // new RecipeInfo("Super Glanz A", 2, IntStream.rangeClosed(0, + // 4).boxed().collect(Collectors.toList())), // , + // // 4000, + // // 120 + // // ), + // new RecipeInfo("Super Glanz B", 4, IntStream.rangeClosed(5, + // 6).boxed().collect(Collectors.toList())), // , + // // 8000, + // // 90 + // // ), + // new RecipeInfo("Super Glanz C", 2, IntStream.rangeClosed(7, + // 9).boxed().collect(Collectors.toList())), // , + // // 8000, + // // 60 + // // ), + // new RecipeInfo("Super Glanz D", 0, IntStream.rangeClosed(7, + // 9).boxed().collect(Collectors.toList())) // , + // // 10000, + // // 60 + // // ) + // // ) + // )); + // + // recipeInfo.put("Weiss Basis", Lists.newArrayList( + // new RecipeInfo("Weiss Basis A", 11, IntStream.rangeClosed(0, + // 4).boxed().collect(Collectors.toList())), // , + // // 6000, + // // 60 + // // ), + // new RecipeInfo("Weiss Basis B", 3, IntStream.rangeClosed(5, + // 6).boxed().collect(Collectors.toList())), // , + // // 12000, + // // 45 + // // ), + // new RecipeInfo("Weiss Basis C", 1, IntStream.rangeClosed(7, + // 9).boxed().collect(Collectors.toList())), // , + // // 12000, + // // 30 + // // ), + // new RecipeInfo("Weiss Basis D", 1, IntStream.rangeClosed(7, + // 9).boxed().collect(Collectors.toList())) // , + // // 12000, + // // 30 + // // ) + // // ) + // // ); + // )); + + recipeInfo.values().stream().forEach(r -> recipeInfoList.addAll(r)); + + final Interval taskDurationInterval = new Interval(30 * 60, 120 * 60); // 0.5 to 2 hours + return makeConfigurationType(recipeInfo, resourceNames, taskDurationInterval, random); + } + + /////////////////////////// + + public static ConfigurationType makeConfigurationType(Map<String, List<RecipeInfo>> recipeInfo, + List<String> resourceNames, Interval taskDurationInterval, Random random) { + + final List<KeyObjectiveType> keyObjectiveTypes = new ArrayList<>(); + keyObjectiveTypes.add(new KeyObjectiveType("makespan", ValueType.realType(0, Double.MAX_VALUE), "n/a", + SearchDirection.MINIMIZING)); + + final List<ControlledMetricType> controlledMetricTypes = new ArrayList<>(); + final List<ObservableMetricType> observableMetricTypes = new ArrayList<>(); // 1. Observable metric for availability of each resource: - for( String resourceName: resourceNames ) - observableMetricTypes.add( new ObservableMetricType(resourceName + " availability", ValueType.intType(1, 1), "n/a", SampleRate.eventDriven ) ); + for (String resourceName : resourceNames) + observableMetricTypes.add(new ObservableMetricType(resourceName + " availability", ValueType.intType(1, 1), + "n/a", SampleRate.eventDriven)); + + // List<String> singleResourceNames = new ArrayList<>(); + for (String resourceName : resourceNames) { + String[] resourceArray = resourceName.split(" "); + for (String name : resourceArray) { + observableMetricTypes.add(new ObservableMetricType(resourceName + " mutex " + name, + ValueType.intType(1, 1), "n/a", SampleRate.eventDriven)); + } + + } + // + // for (String name : singleResourceNames) { + // observableMetricTypes.add(new ObservableMetricType(name + " mutex " + name, + // ValueType.intType(1, 1), + // "n/a", SampleRate.eventDriven)); + // } // count instances (used to set an upper bound on priority): int totalInstances = 0; - for( Map.Entry<String, List<RecipeInfo> > e: recipeInfo.entrySet() ) - for( RecipeInfo r: e.getValue() ) + for (Map.Entry<String, List<RecipeInfo>> e : recipeInfo.entrySet()) + for (RecipeInfo r : e.getValue()) totalInstances += r.instances; - final List<Integer> priorities = IntStream.rangeClosed(0, totalInstances) - .boxed().collect(Collectors.toList()); - // create a randomised list of priorities: + final List<Integer> priorities = IntStream.rangeClosed(0, totalInstances).boxed().collect(Collectors.toList()); + + // List<Integer> priorities = new ArrayList<>(); + // priorities.add(9); + // priorities.add(5); + // priorities.add(1); + + // create a randomised list of priorities: // Collections.shuffle(priorities, random); - final List< Interval > intervals = new ArrayList<>(); - for( int i=0; i<totalInstances; ++i ) { - // final int a = random.nextInt( ( maxDuration * totalInstances ) / resourceNames.length ); - // final int b = random.nextInt( ( maxDuration * totalInstances ) / resourceNames.length ); + final List<Interval> intervals = new ArrayList<>(); + for (int i = 0; i < totalInstances; ++i) { + // final int a = random.nextInt( ( maxDuration * totalInstances ) / + // resourceNames.length ); + // final int b = random.nextInt( ( maxDuration * totalInstances ) / + // resourceNames.length ); // intervals.add( new Interval( Math.min(a,b), Math.max(a,b) ) ); - final int duration = randomInRange(taskDurationInterval.lower(), taskDurationInterval.upper(),random); - intervals.add( new Interval( 0, duration ) ); + final int duration = randomInRange(taskDurationInterval.lower(), taskDurationInterval.upper(), random); + intervals.add(new Interval(0, duration)); } - + // Add types for controlled and observable metrics: int instanceCount = 0; - for( Map.Entry<String, List<RecipeInfo> > e: recipeInfo.entrySet() ) { - for( RecipeInfo r: e.getValue() ) { - for( int i=0; i<r.instances; ++i ) { + int productsCount = 0; + for (Map.Entry<String, List<RecipeInfo>> e : recipeInfo.entrySet()) { + int receiptCount = 0; + for (RecipeInfo r : e.getValue()) { + int interval = ExecutionTime[productsCount][receiptCount]; + for (int i = 0; i < r.instances; ++i) { final String instanceName = r.name + " " + i; // 2. Controlled metrics for allocation and for priority: - - final ValueType allocationValueType = ValueType.nominalType( instanceName + " allocation type ", r.compatibleResources.stream().map( index -> resourceNames.get( index ) ).toArray(String[]::new) ); - // e.g. Std Weiss A 1 allocation (nominal type, domain: Mixer 1, Mixer 2, Mixer 3, Mixer 4, Mixer 5} : - controlledMetricTypes.add( new ControlledMetricType(instanceName + " allocation", allocationValueType, "n/a") ); + + final ValueType allocationValueType = ValueType.nominalType(instanceName + " allocation type ", + r.compatibleResources.stream().map(index -> resourceNames.get(index)) + .toArray(String[]::new)); + // e.g. Std Weiss A 1 allocation (nominal type, domain: Mixer 1, Mixer 2, Mixer + // 3, Mixer 4, Mixer 5} : + controlledMetricTypes + .add(new ControlledMetricType(instanceName + " allocation", allocationValueType, "n/a")); // e.g. Std Weiss A 1 priority (Int type) final int priorityValue = priorities.get(instanceCount); - // ensure each priority value is unique - otherwise scheduling can get in an infinite loop: - controlledMetricTypes.add( new ControlledMetricType(instanceName + " priority", - ValueType.intType(priorityValue, priorityValue), "n/a") ); - + // ensure each priority value is unique - otherwise scheduling can get in an + // infinite loop: + controlledMetricTypes.add(new ControlledMetricType(instanceName + " priority", + ValueType.intType(priorityValue, priorityValue), "n/a")); + // 3. Observable metric for start and end time of each recipe instance: -// final int start = intervals.get(instanceCount).lower(); -// final int end = intervals.get(instanceCount).upper(); -// observableMetricTypes.add( new ObservableMetricType(instanceName + " start", -// ValueType.intType(start, start), "n/a", SampleRate.eventDriven ) ); -// observableMetricTypes.add( new ObservableMetricType(instanceName + " end", -// ValueType.intType(end, end), "n/a", SampleRate.eventDriven ) ); + // final int start = intervals.get(instanceCount).lower(); + // final int end = intervals.get(instanceCount).upper(); + // observableMetricTypes.add( new ObservableMetricType(instanceName + " start", + // ValueType.intType(start, start), "n/a", SampleRate.eventDriven ) ); + // observableMetricTypes.add( new ObservableMetricType(instanceName + " end", + // ValueType.intType(end, end), "n/a", SampleRate.eventDriven ) ); - for( String resourceName: resourceNames ) { + for (String resourceName : resourceNames) { final String recipeAndResourceNamePrefix = instanceName + " " + resourceName; - final int start = intervals.get(instanceCount).lower(); - final int end = intervals.get(instanceCount).upper(); - observableMetricTypes.add( new ObservableMetricType( + final int start = 0 /* intervals.get(instanceCount).lower() */; + final int end = interval /* intervals.get(instanceCount).upper() */; + observableMetricTypes.add(new ObservableMetricType( // instanceName + " start", - recipeAndResourceNamePrefix + " start", - ValueType.intType(start, start), "n/a", SampleRate.eventDriven ) ); - observableMetricTypes.add( new ObservableMetricType( - // instanceName + " end", - recipeAndResourceNamePrefix + " end", - ValueType.intType(end, end), "n/a", SampleRate.eventDriven ) ); + recipeAndResourceNamePrefix + " start", ValueType.intType(start, start), "n/a", + SampleRate.eventDriven)); + observableMetricTypes.add(new ObservableMetricType( + // instanceName + " end", + recipeAndResourceNamePrefix + " end", ValueType.intType(end, end), "n/a", + SampleRate.eventDriven)); } - + instanceCount += 1; } + receiptCount++; } + productsCount++; } /////////////////////////// - - return new ConfigurationType.Explicit(keyObjectiveTypes, controlledMetricTypes, observableMetricTypes ); + + return new ConfigurationType.Explicit(keyObjectiveTypes, controlledMetricTypes, observableMetricTypes); } /////////////////////////////// - - private static final class ProductionLineInfo { - final String recipeId; - final int mixerIndex; - - public ProductionLineInfo(String recipeId, int mixerIndex) { - this.recipeId = recipeId; - this.mixerIndex = mixerIndex; - } - - public String resourceName() { - return "Silo(" + recipeId + ") Mixer(" + mixerIndex + ") Tank(" + recipeId + ")"; - } - } - - private static List< ProductionLineInfo > - generateProductionLines(int numMixers, String [] recipeIds) { - List< ProductionLineInfo > result = new ArrayList<>(); - for( String recipeId: recipeIds ) - for( int i=0; i<numMixers; ++i ) - result.add( new ProductionLineInfo(recipeId, i) ); - - return result; - } - - /////////////////////////////// - - private static List< Integer > - compatibleResources( String recipeId, List< ProductionLineInfo > productionLineInfo ) { - List< Integer > result = new ArrayList<>(); - for( int i=0; i<productionLineInfo.size(); ++i ) { - if( recipeId.equals( productionLineInfo.get(i).recipeId ) ) - result.add(i); - } - - return result; - } - - public static ConfigurationType - hardwiredConfigurationType(int numMixers, Random random) { - - final String [] recipeIds = { - "Std Weiss", "Weiss Matt", "Super Glanz", "Weiss Basis" - }; - - final List< ProductionLineInfo > productionLineInfo = generateProductionLines(numMixers, recipeIds); - final List< String > resourceNames = productionLineInfo.stream().map( x -> x.resourceName() ).collect(Collectors.toList()); - - final Map< String, List< RecipeInfo > > recipeInfo = new HashMap<>(); - recipeInfo.put( "Std Weiss", Lists.newArrayList( - new RecipeInfo( "Std Weiss A", 9, compatibleResources( "Std Weiss", productionLineInfo) ), // , 5000, 90 ), - new RecipeInfo( "Std Weiss B", 2, compatibleResources( "Std Weiss", productionLineInfo) ), // 10000, 60 ), - new RecipeInfo( "Std Weiss C", 3, compatibleResources( "Std Weiss", productionLineInfo) ), // 10000, 45 ), - new RecipeInfo( "Std Weiss D", 4 , compatibleResources( "Std Weiss", productionLineInfo) ) // 10000, 45 ) ) - ) ); - - recipeInfo.put( "Weiss Matt", Lists.newArrayList( - new RecipeInfo( "Weiss Matt A", 11, compatibleResources( "Weiss Matt", productionLineInfo) ), // 5000, 90 ), - new RecipeInfo( "Weiss Matt B", 4, compatibleResources( "Weiss Matt", productionLineInfo) ), // 10000, 60 ), - new RecipeInfo( "Weiss Matt C", 5, compatibleResources( "Weiss Matt", productionLineInfo) ), // 10000, 45 ), - new RecipeInfo( "Weiss Matt D", 2, compatibleResources( "Weiss Matt", productionLineInfo) ) // , 10000, 45 ) ) - ) ); - - recipeInfo.put( "Super Glanz", Lists.newArrayList( - new RecipeInfo( "Super Glanz A", 2, compatibleResources( "Super Glanz", productionLineInfo) ), // , 4000, 120 ), - new RecipeInfo( "Super Glanz B", 4, compatibleResources( "Super Glanz", productionLineInfo) ), // , 8000, 90 ), - new RecipeInfo( "Super Glanz C", 2, compatibleResources( "Super Glanz", productionLineInfo) ), // , 8000, 60 ), - new RecipeInfo( "Super Glanz D", 0, compatibleResources( "Super Glanz", productionLineInfo) ) // , 10000, 60 ) ) - ) ); - - recipeInfo.put( "Weiss Basis", Lists.newArrayList( - new RecipeInfo( "Weiss Basis A", 11, compatibleResources( "Weiss Basis", productionLineInfo) ), // , 6000, 60 ), - new RecipeInfo( "Weiss Basis B", 3, compatibleResources( "Weiss Basis", productionLineInfo) ), // , 12000, 45 ), - new RecipeInfo( "Weiss Basis C", 1, compatibleResources( "Weiss Basis", productionLineInfo) ), // , 12000, 30 ), - new RecipeInfo( "Weiss Basis D", 1, compatibleResources( "Weiss Basis", productionLineInfo) ) // , 12000, 30 ) ) ); - ) ); - - final Interval taskDurationInterval = new Interval( 30 * 60, 120 * 60); // 0.5 to 2 hours - return makeConfigurationType( recipeInfo, resourceNames, taskDurationInterval, random ); - } + + } // End /////////////////////////////////////////////////////////////// diff --git a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OnaConfigurationType.java b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OnaConfigurationType.java new file mode 100644 index 0000000000000000000000000000000000000000..dbe942cff136c8a20f2867d19f8e74a648ebc519 --- /dev/null +++ b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OnaConfigurationType.java @@ -0,0 +1,371 @@ +package uk.ac.york.safire.optimisation.mitm.atb; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Map.Entry; +import java.util.Random; +import java.util.TreeMap; +import java.util.function.BiPredicate; +import java.util.stream.Collectors; +import java.util.stream.IntStream; + +import org.apache.commons.lang3.tuple.Pair; + +import com.google.common.collect.Lists; + +import uk.ac.york.safire.factoryModel.ONA.Device; +import uk.ac.york.safire.factoryModel.ONA.ONAXMLReader; +import uk.ac.york.safire.factoryModel.ONA.ProductionProcess; +import uk.ac.york.safire.factoryModel.ONA.SubProcess; +import uk.ac.york.safire.factoryModel.ONA.SubProcessRelation; +import uk.ac.york.safire.metrics.ConfigurationType; +import uk.ac.york.safire.metrics.ControlledMetricType; +import uk.ac.york.safire.metrics.KeyObjectiveType; +import uk.ac.york.safire.metrics.ObservableMetricType; +import uk.ac.york.safire.metrics.SampleRate; +import uk.ac.york.safire.metrics.SearchDirection; +import uk.ac.york.safire.metrics.ValueType; +import uk.ac.york.safire.optimisation.ia.Interval; +import uk.ac.york.safire.optimisation.mitm.atb.ATBSimulatorKafkaProducer.RecipeInfo; + +/////////////////////////////////// + +public final class OnaConfigurationType { + + public static ONAXMLReader ONAReader = null; + + public static List<String> objectives; + public static List<Device> devices; + public static List<ProductionProcess> processes; + public static List<SubProcessRelation> relation; + private static List<SequenceDependentTaskInfo> setUps = null; + + public static Map<String, List<String>> unAvailableTimes = new HashMap<>(); + + public static void presetup() { + if(ONAReader == null) { + ONAReader = new ONAXMLReader(); + ONAReader.readOASInput(); + + objectives = ONAReader.getObjectivesList(); + devices = ONAReader.getResources(); + processes = ONAReader.getProcesses(); + relation = ONAReader.getRelations(); + setUps = ONAReader.getSetUps(); + + for (Device d : devices) { + String deviceID = d.getName(); + + if (!unAvailableTimes.containsKey(deviceID) && d.getNotavailbaileTime().length() > 1) { + unAvailableTimes.put(deviceID, Arrays.asList(d.getNotavailbaileTime().split(" "))); + } + } + } + } + + public static List<SequenceDependentTaskInfo> getSetUps(){ + presetup(); + return setUps; + } + + public static List<String> getObjectives(){ + presetup(); + return objectives; + } + + private static ConfigurationType makeConfigurationType(Map<String, List<RecipeInfo>> recipeInfo, String[] resourceNames, + Map<Pair<String, String>, Double> recipeAndResourceNameToEnergy, + Map<Pair<String, String>, Double> recipeAndResourceNameToMontary, + // int percentAvailability, + Map<Pair<String, String>, Interval> recipeAndResourceNameToInterval, + Map<Pair<String, String>, Boolean> mutices, + Map<Pair<String, String>, Integer> recipeAndResourceNameToPreemptionPoints, boolean isMultiobjective, + Random random) { + // if( percentAvailability < 0 || percentAvailability > 100 ) + // throw new IllegalArgumentException("Expected percentage for + // percentAvailability, found: " + percentAvailability ); + + final List<KeyObjectiveType> keyObjectiveTypes = new ArrayList<>(); + + for (int i = 0; i < objectives.size(); i++) { + + keyObjectiveTypes.add(new KeyObjectiveType(objectives.get(i), ValueType.realType(0, Double.MAX_VALUE), + "n/a", SearchDirection.MINIMIZING)); + + } + + final List<ControlledMetricType> controlledMetricTypes = new ArrayList<>(); + final List<ObservableMetricType> observableMetricTypes = new ArrayList<>(); + + for (String resourceName : resourceNames) { + + observableMetricTypes.add(new ObservableMetricType(resourceName + " availability", ValueType.intType(1, 1), + "n/a", SampleRate.eventDriven)); + } + + for (int i = 0; i < processes.size(); i++) { + String productInfo = processes.get(i).getName(); + int urgency = processes.get(i).getUrgency(); + + observableMetricTypes.add(new ObservableMetricType(productInfo + " urgency " + urgency, + ValueType.intType(1, 1), "n/a", SampleRate.eventDriven)); + } + + for (Entry<String, List<String>> entry : unAvailableTimes.entrySet()) { + String resourceKey = entry.getKey(); + if (entry.getValue().size() > 0) { + observableMetricTypes.add(new ObservableMetricType( + resourceKey + " unAvailabileTime " + String.join("_", entry.getValue()), + ValueType.intType(1, 1), "n/a", SampleRate.eventDriven)); + } + } + + for (Map.Entry<Pair<String, String>, Boolean> e : mutices.entrySet()) { + + final ValueType vt = e.getValue() ? ValueType.intType(1, 1) : ValueType.intType(0, 0); + observableMetricTypes.add(new ObservableMetricType(e.getKey().getLeft() + " mutex " + e.getKey().getRight(), + vt, "n/a", SampleRate.eventDriven)); + } + + /////////////////////////// + + // count instances (used to set an upper bound on priority): + int totalInstances = 0; + for (Map.Entry<String, List<RecipeInfo>> e : recipeInfo.entrySet()) { + for (RecipeInfo r : e.getValue()) + totalInstances += r.instances; + } + + List<Integer> priorities = IntStream.rangeClosed(0, totalInstances).boxed().collect(Collectors.toList()); + + +// int productsCount = 0; + int instanceCount = 0; + for (Map.Entry<String, List<RecipeInfo>> e : recipeInfo.entrySet()) { + for (RecipeInfo r : e.getValue()) { + + int productIndex = getProductIndex(r.name); + List<SubProcess> subProcesses = processes.get(productIndex).getSubProcesses(); + + for (int i = 0; i < r.instances; ++i) { + final String instanceName = r.name + " " + i; + + // 2. Controlled metrics for allocation and for priority: + + final ValueType allocationValueType = ValueType.nominalType(instanceName + " allocation type ", + r.compatibleResources.stream().map(index -> resourceNames[index]).toArray(String[]::new)); + // e.g. Std Weiss A 1 allocation (nominal type, domain: Mixer 1, Mixer 2, Mixer + // 3, Mixer 4, Mixer 5} : + controlledMetricTypes + .add(new ControlledMetricType(instanceName + " allocation", allocationValueType, "n/a")); + + // e.g. Std Weiss A 1 priority (Int type) + final int priorityValue = priorities.get(instanceCount); + // ensure each priority value is unique - otherwise scheduling can get in an + // infinite loop: + controlledMetricTypes.add(new ControlledMetricType(instanceName + " priority", + ValueType.intType(priorityValue, priorityValue), "n/a")); + + /////////////// + + // Observable metric for start and end time of each (resource,recipe instance) : + + for (int j = 0; j < processes.get(productIndex).getCompitableResource().size(); j++) { + + String resourceName = processes.get(productIndex).getCompitableResource().get(j) + .getName(); + + for (SubProcess sp : subProcesses) { + String spName = sp.getName().replaceFirst("cut", "preempt"); + String[] spNameArray = spName.split(" "); + + String recipeAndResourceNamePrefix = instanceName + " " + resourceName + " " + + spNameArray[spNameArray.length - 2] + " " + spNameArray[spNameArray.length - 1]; + + int spProcessingTime = sp.getProcessingTime().get(j); + int spEnergy = sp.getEnergyCost().get(j); + int spMontary = sp.getMontaryCost().get(j); + + SubProcess spRelation = null; + for (SubProcessRelation relation : relation) { + if (relation.getDestination().getName().equals(sp.getName())) { + spRelation = relation.getSource(); + } + } + + if (spRelation != null) { + String sourceName = spRelation.getName().replaceFirst("cut", "preempt"); + String[] sourceNameArray = sourceName.split(" "); + String sourcePrefix = instanceName + " " + resourceName + " " + + sourceNameArray[sourceNameArray.length - 2] + " " + + sourceNameArray[sourceNameArray.length - 1]; + + observableMetricTypes.add(new ObservableMetricType( + recipeAndResourceNamePrefix + " executedAfter " + sourcePrefix, + ValueType.intType(1, 1), "n/a", SampleRate.eventDriven)); + } + + observableMetricTypes.add(new ObservableMetricType( + // metricNamePrefix + " start", + recipeAndResourceNamePrefix + " start", ValueType.intType(0, 0), "n/a", + SampleRate.eventDriven)); + + observableMetricTypes.add(new ObservableMetricType( + // metricNamePrefix + " end", + recipeAndResourceNamePrefix + " end", + ValueType.intType(spProcessingTime, spProcessingTime), "n/a", + SampleRate.eventDriven)); + + observableMetricTypes.add(new ObservableMetricType( + // metricNamePrefix + " cost", + recipeAndResourceNamePrefix + " energy", ValueType.realType(spEnergy, spEnergy), + "n/a", SampleRate.eventDriven)); + + observableMetricTypes.add(new ObservableMetricType( + // metricNamePrefix + " cost", + recipeAndResourceNamePrefix + " montary", ValueType.realType(spMontary, spMontary), + "n/a", SampleRate.eventDriven)); + + } + + } + + instanceCount += 1; + } + } +// productsCount++; + } + + /////////////////////////// + + // Add a controlled metric which encodes a permutation of the user-specified + // priority ordering + // final double numPermutations = factorial(instanceCount); + // if (numPermutations <= Integer.MAX_VALUE) { + // final ValueType priorityPermutationIndexType = ValueType.realType(0, + // numPermutations - 1); + // + // controlledMetricTypes + // .add(new ControlledMetricType("priority-permutation-index", + // priorityPermutationIndexType, "n/a")); + // } + + // System.out.println(Integer.MAX_VALUE); + + /////////////////////////// + + return new ConfigurationType.Explicit(keyObjectiveTypes, controlledMetricTypes, observableMetricTypes); + } + + private static int getProductIndex(String name) { + + for(int i=0; i<processes.size();i++) { + if(name.equals(processes.get(i).getName())) { + return i; + } + } + + + System.err.print("cannot by product via given name."); + System.exit(-1); + return -1; + } + + /////////////////////////////// + + public static Pair<Map<String, List<RecipeInfo>>, String[]> recipesAndResourceNames() { + presetup(); + final String[] resourceNames = devices.stream().map(d -> d.getName()).toArray(String[]::new); + + final java.util.function.Function<String[], List<Integer>> resourceIndices = (String[] names) -> { + List<Integer> result = Arrays.asList(names).stream() + .map((String nm) -> Arrays.asList(resourceNames).indexOf(nm)).collect(Collectors.toList()); + if (result.contains(-1)) + jeep.lang.Diag.println(Arrays.toString(names) + " contains bad string:\n" + result); + + return result; + }; + + final Map<String, List<RecipeInfo>> recipeInfo = new TreeMap<>(); // new NaturalOrderComparator()); + + for (ProductionProcess process : processes) { + recipeInfo.put(process.getName(), Lists + .newArrayList(new RecipeInfo(process.getName(), process.getInstanceNumber(), resourceIndices.apply( + process.getCompitableResource().stream().map(d -> d.getName()).toArray(String[]::new))))); + } + + return Pair.of(recipeInfo, resourceNames); + } + + /////////////////////////////// + + public static ConfigurationType configurationType(Map<String, List<RecipeInfo>> recipeInfo, String[] resourceNames, + boolean isMultiobjective, Random random) { + presetup(); + // Convention: resource names prefixes (up to the first space) denote the same + // resource + // hence they are mutually exclusive: + final BiPredicate<String, String> mutex = (String resource1, String resource2) -> { + final String[] s1 = resource1.split(" "); + final String[] s2 = resource2.split(" "); + return (s1.length == 0 && s2.length == 0) || (s1[0].equals(s2[0])); + }; + + final Map<Pair<String, String>, Boolean> mutices = new HashMap<>(); + for (String r1 : resourceNames) + for (String r2 : resourceNames) + mutices.put(Pair.of(r1, r2), mutex.test(r1, r2)); + + final Map<Pair<String, String>, Double> recipeAndResourceToEnergy = new HashMap<>(); + + for (ProductionProcess process : processes) { + for (int i = 0; i < process.getCompitableResource().size(); i++) { + recipeAndResourceToEnergy.put( + Pair.of(process.getName(), process.getCompitableResource().get(i).getName()), + (double) process.getEnergys().get(i)); + } + } + + final Map<Pair<String, String>, Double> recipeAndResourceToMontary = new HashMap<>(); + + for (ProductionProcess process : processes) { + for (int i = 0; i < process.getCompitableResource().size(); i++) { + recipeAndResourceToMontary.put( + Pair.of(process.getName(), process.getCompitableResource().get(i).getName()), + (double) process.getMontarys().get(i)); + } + } + + final Map<Pair<String, String>, Interval> recipeAndResourceToProcessingTime = new HashMap<>(); + + for (ProductionProcess process : processes) { + for (int i = 0; i < process.getCompitableResource().size(); i++) { + recipeAndResourceToProcessingTime.put( + Pair.of(process.getName(), process.getCompitableResource().get(i).getName()), + new Interval(0, process.getprocessingTime().get(i))); + } + } + + final Map<Pair<String, String>, Integer> recipeAndResourceNameToPreemptionPoints = new HashMap<>(); + for (ProductionProcess process : processes) { + for (Device d : process.getCompitableResource()) { + recipeAndResourceNameToPreemptionPoints.put(Pair.of(process.getName(), d.getName()), + process.getNumberOfCuts()); + } + } + + final ConfigurationType ct = makeConfigurationType(recipeInfo, resourceNames, recipeAndResourceToEnergy, + recipeAndResourceToMontary, recipeAndResourceToProcessingTime, mutices, + recipeAndResourceNameToPreemptionPoints, isMultiobjective, random); + + // final SequenceDependentSetup sds = + // makeSequenceDependantSetup(sequenceDependentTasks); + // return Pair.of( ct, sequenceDependentTasks ); + return ct; + } +} + +// End /////////////////////////////////////////////////////////////// diff --git a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OnaHardwiredConfigurationType.java b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OnaHardwiredConfigurationType.java old mode 100644 new mode 100755 index 5609537b4b3001ae2bfec0d93187825e28474625..34b470153e9836831117cc4b545be0cff1de9a6b --- a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OnaHardwiredConfigurationType.java +++ b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/OnaHardwiredConfigurationType.java @@ -16,7 +16,6 @@ import org.apache.commons.math3.util.Pair; import com.google.common.collect.HashMultiset; import com.google.common.collect.Lists; import com.google.common.collect.Multiset; -import com.google.common.primitives.Ints; import uk.ac.york.safire.metrics.ConfigurationType; import uk.ac.york.safire.metrics.ControlledMetricType; diff --git a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/PreemptiveOnaConfigurationType.java b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/PreemptiveOnaConfigurationType.java old mode 100644 new mode 100755 index 83a4edf93437ba2efaab9ab92f67566851fea73f..6d5245c9c0389da3afc7aaf7ce67dffb2c4a684e --- a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/PreemptiveOnaConfigurationType.java +++ b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/PreemptiveOnaConfigurationType.java @@ -2,7 +2,6 @@ package uk.ac.york.safire.optimisation.mitm.atb; import java.util.ArrayList; import java.util.Arrays; -import java.util.Collections; import java.util.HashMap; import java.util.List; import java.util.Map; diff --git a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/RecipeInfo.java b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/RecipeInfo.java old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/SequenceDependentTaskInfo.java b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/SequenceDependentTaskInfo.java old mode 100644 new mode 100755 index 7d1809088292ad45a006a4fea840e3c6bafd304f..8ead64ae324c8027caecfef69a100eddc90a115f --- a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/SequenceDependentTaskInfo.java +++ b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/SequenceDependentTaskInfo.java @@ -8,10 +8,12 @@ import java.util.Random; import java.util.Set; import java.util.stream.Collectors; +import org.apache.commons.lang3.StringUtils; import org.apache.commons.lang3.builder.ToStringStyle; import org.apache.commons.lang3.tuple.Triple; import scala.Option; +import uk.ac.york.safire.metrics.Configuration; import uk.ac.york.safire.optimisation.ia.Resource; import uk.ac.york.safire.optimisation.ia.SequenceDependentSetup; import uk.ac.york.safire.optimisation.ia.Task; @@ -21,112 +23,356 @@ import uk.ac.york.safire.optimisation.mitm.atb.ATBSimulatorKafkaProducer.RecipeI /////////////////////////////////// public final class SequenceDependentTaskInfo { - - final int duration; - final double cost; - final String resource; - final String lastTaskPrefix; - final String nextTaskPrefix; - final String id; - + + public final int duration; + public final int energyCost; + public final int montaryCost; + public final String resource; + public final String lastTaskPrefix; + public final String nextTaskPrefix; + public final String id; + /////////////////////////// - - public static List< SequenceDependentTaskInfo > - makeRandomSequenceDependantTasks(List< RecipeInfo > recipes, String [] resourceNames, double density, int maxDuration, double maxCost, Random rng) { - if( density < 0.0 || density > 1.0 ) + + public static List<SequenceDependentTaskInfo> makeRandomSequenceDependantTasksOAS(List<RecipeInfo> recipes, + String[] resourceNames, double density, int maxDuration, int maxEnergyCost, int maxMontaryCost, + Random rng) { + if (density < 0.0 || density > 1.0) throw new IllegalArgumentException(); - - // Collect all (ordered) pairs of recipes that have compatible resources in common: - final List< Triple< RecipeInfo, RecipeInfo, Set< Integer > > > sharedResources = new ArrayList<>(); - for( int i=0; i<recipes.size(); ++i ) { - for( int j=0; j<recipes.size(); ++j ) { - if( j == i ) + + // Collect all (ordered) pairs of recipes that have compatible resources in + // common: + final List<Triple<RecipeInfo, RecipeInfo, Set<String>>> sharedResources = new ArrayList<>(); + for (int i = 0; i < recipes.size(); ++i) { + for (int j = 0; j < recipes.size(); ++j) { + if (j == i || (recipes.get(i).name.split("")[0].equals(recipes.get(j).name.split("")[0]) + && recipes.get(i).name.split("")[1].equals(recipes.get(j).name.split("")[1]))) continue; - + final RecipeInfo ri = recipes.get(i); final RecipeInfo rj = recipes.get(j); - final Set< Integer > icompat = ri.compatibleResources.stream().collect(Collectors.toSet() ); - final Set< Integer > jcompat = rj.compatibleResources.stream().collect(Collectors.toSet() ); - icompat.retainAll( jcompat ); - if( !icompat.isEmpty() ) - sharedResources.add( Triple.of(ri, rj, icompat ) ); + + final List<List<String>> icompatNestedList = ri.compatibleResources.stream().filter(r -> r != 60) + .map(r -> Arrays.asList(resourceNames[r].split(" "))).collect(Collectors.toList()); + final Set<String> icompat = icompatNestedList.stream().flatMap(List::stream) + .filter(r -> r.contains("(")).collect(Collectors.toSet()); + + final List<List<String>> jcompatNestedList = rj.compatibleResources.stream().filter(r -> r != 60) + .map(r -> Arrays.asList(resourceNames[r].split(" "))).collect(Collectors.toList()); + final Set<String> jcompat = jcompatNestedList.stream().flatMap(List::stream) + .filter(r -> r.contains("(")).collect(Collectors.toSet()); + icompat.retainAll(jcompat); + if (!icompat.isEmpty()) + sharedResources.add(Triple.of(ri, rj, icompat)); } } - - final int numSelections = (int)(density * sharedResources.size()); - Collections.shuffle( sharedResources, rng ); - final List< Triple< RecipeInfo, RecipeInfo, Set< Integer > > > selected = sharedResources.subList( 0, numSelections ); - - final List< SequenceDependentTaskInfo > result = new ArrayList<>(); - for( int i=0; i<selected.size(); ++i ) { + + final int numSelections = (int) (density * sharedResources.size()); + Collections.shuffle(sharedResources, rng); + final List<Triple<RecipeInfo, RecipeInfo, Set<String>>> selected = sharedResources.subList(0, numSelections); + + final List<SequenceDependentTaskInfo> result = new ArrayList<>(); + for (int i = 0; i < selected.size(); ++i) { final RecipeInfo ri = selected.get(i).getLeft(); final RecipeInfo rj = selected.get(i).getMiddle(); - final Set< Integer > compatibleResources = selected.get(i).getRight(); + final Set<String> compatibleResources = selected.get(i).getRight(); - // final String resource = resourceNames[ compatibleResources.stream().collect(Collectors.toList()).get( rng.nextInt(compatibleResources.size() ) ) ]; - for( String resource: resourceNames ) { - final String taskId = "idle " + ri.name + " " + rj.name; - result.add( new SequenceDependentTaskInfo(rng.nextInt(maxDuration), rng.nextDouble() * maxCost, resource, ri.name, rj.name, taskId ) ); + // final String resource = resourceNames[ + // compatibleResources.stream().collect(Collectors.toList()).get( + // rng.nextInt(compatibleResources.size() ) ) ]; + for (String resource : compatibleResources) { + final String taskId = "DependentSetUp from " + ri.name + " to " + rj.name; + result.add(new SequenceDependentTaskInfo(maxDuration, maxEnergyCost, maxMontaryCost, resource, ri.name, + rj.name, taskId)); } } - + return result; } - public static SequenceDependentSetup - makeSequenceDependantSetup(List< SequenceDependentTaskInfo > sdTasks) { + public static SequenceDependentSetup makeSequenceDependantSetupElectrolux(List<SequenceDependentTaskInfo> sdTasks, + Configuration config) { return new SequenceDependentSetup() { @Override public Option<Task> apply(Resource resource, Task last, Task next) { - final String [] lastTokens = last.id().name().split( " " ); - final String [] nextTokens = next.id().name().split( " " ); -//jeep.lang.Diag.println( "last: " + Arrays.toString( lastTokens ) + "next: " + Arrays.toString( nextTokens ) + " resource: " + resource ); -// System.exit(0); - final List< SequenceDependentTaskInfo > matchingTasks = sdTasks.stream().filter( sdt -> - sdt.lastTaskPrefix.equals( lastTokens[0] ) && - sdt.nextTaskPrefix.equals( nextTokens[0] ) && - sdt.resource.equals( resource.id() ) - ).collect(Collectors.toList()); - - if( matchingTasks.isEmpty() ) + final String[] lastTokens = last.id().name().split(" "); + final String[] nextTokens = next.id().name().split(" "); + + String[] lastTokensProcessed = Arrays.copyOf(lastTokens, lastTokens.length - 1); + String[] nextTokensProcessed = Arrays.copyOf(nextTokens, nextTokens.length - 1); + + String lastTaskName = String.join(" ", lastTokensProcessed); + String nextTaskName = String.join(" ", nextTokensProcessed); + + List<String> resourceNames = Arrays.asList(resource.id().split(" ")); + + List<String> taskLastResource = Arrays.asList(last.getResource().id().split(" ")); + List<String> taskNextResource = Arrays.asList(next.getResource().id().split(" ")); + + List<String> sameName = new ArrayList<String>(); + for (int i = 0; i < taskLastResource.size(); i++) { + for (int j = 0; j < taskNextResource.size(); j++) { + String lastResource = taskLastResource.get(i); + String nextResource = taskNextResource.get(j); + if (lastResource.equals(nextResource) && !lastResource.equals("and") + && !StringUtils.isNumeric(lastResource)) { + sameName.add(lastResource); + } + } + } + + List<String> sharedResources = new ArrayList<>(); + for (String rawName : sameName) { + for (String resName : resourceNames) { + if (resName.equals(rawName)) + sharedResources.add(resName); + } + } + + final String nameForCompare = sharedResources.get(0); + + final List<SequenceDependentTaskInfo> matchingTasks = sdTasks == null ? new ArrayList<>() + : sdTasks.stream() + .filter(sdt -> sdt.lastTaskPrefix.equals(lastTaskName) + && sdt.nextTaskPrefix.equals(nextTaskName) + && sdt.resource.equals(nameForCompare)) + .collect(Collectors.toList()); + + // sdt.resource.equals(dependentTaskResourceName) + + if (matchingTasks.isEmpty()) return Option.empty(); else { - assert( matchingTasks.size() == 1 ); + assert (matchingTasks.size() == 1); final SequenceDependentTaskInfo sdt = matchingTasks.get(0); - return Option.apply( Task.sequenceDependentFromJavaHelper(new TaskId(sdt.id + "[UID:" + System.nanoTime() + "]" ), - Collections.singletonMap(resource, sdt.duration) ) ); + +// List<String> processedNames = new ArrayList<>(); +// for (String name : sharedResources) { +// String processedNameRaw = name.toLowerCase(); +// String processedName = ""; +// +// for (int i = 0; i < processedNameRaw.length(); i++) { +// char c = processedNameRaw.charAt(i); +// +// if (!Character.isDigit(c) && c != '(' && c != ')') { +// processedName += c; +// } +// } +// +// processedNames.add(processedName); +// } + + String dependentTaskResourceName = String.join("_and_", sharedResources); + + return Option.apply(Task.sequenceDependentFromJavaHelper( + new TaskId(sdt.id + " [UID:" + System.nanoTime() + "]" + " " + dependentTaskResourceName), + Collections.singletonMap(resource, sdt.duration), sdt.energyCost, sdt.montaryCost)); } } }; } + public static SequenceDependentSetup makeSequenceDependantSetupOAS(List<SequenceDependentTaskInfo> sdTasks, + Configuration config) { + return new SequenceDependentSetup() { + @Override + public Option<Task> apply(Resource resource, Task last, Task next) { + final String[] lastTokens = last.id().name().split(" "); + final String[] nextTokens = next.id().name().split(" "); + + List<String> resourceNames = Arrays.asList(resource.id().split(" ")); + List<String> taskLastResource = Arrays.asList(lastTokens[lastTokens.length - 1].split("_")); + + List<String> taskNextResource = Arrays.asList(nextTokens[nextTokens.length - 1].split("_")); + + List<String> sameName = new ArrayList<String>(); + for (int i = 0; i < taskLastResource.size(); i++) { + for (int j = 0; j < taskNextResource.size(); j++) { + String lastResource = taskLastResource.get(i); + String nextResource = taskNextResource.get(j); + if (lastResource.equals(nextResource) && !lastResource.equals("and") + && !StringUtils.isNumeric(lastResource)) { + sameName.add(lastResource); + } + } + } + + List<String> sharedResources = new ArrayList<>(); + for (String rawName : sameName) { + for (String resName : resourceNames) { + + if (resName.toLowerCase().contains(rawName)) + sharedResources.add(resName); + } + } + + assert (sharedResources.size() == 1 || sharedResources.size() == 2); + + String nameForCompareTemp = ""; + + if (sharedResources.size() > 1) { + for (String res : sharedResources) { + if (!res.contains("Mixer")) + nameForCompareTemp = res; + } + } else { + nameForCompareTemp = sharedResources.get(0); + } + + final String nameForCompare = nameForCompareTemp; + + final List<SequenceDependentTaskInfo> matchingTasks = sdTasks == null ? new ArrayList<>() + : sdTasks.stream().filter(sdt -> sdt.lastTaskPrefix + .equals(lastTokens[0] + " " + lastTokens[1] + " " + lastTokens[2]) + && sdt.nextTaskPrefix.equals(nextTokens[0] + " " + nextTokens[1] + " " + nextTokens[2]) + && sdt.resource.equals(nameForCompare)).collect(Collectors.toList()); + + // sdt.resource.equals(dependentTaskResourceName) + + if (matchingTasks.isEmpty()) + return Option.empty(); + else { + assert (matchingTasks.size() == 1); + + final SequenceDependentTaskInfo sdt = matchingTasks.get(0); + + List<String> processedNames = new ArrayList<>(); + for (String name : sharedResources) { + String processedNameRaw = name.toLowerCase(); + String processedName = ""; + + for (int i = 0; i < processedNameRaw.length(); i++) { + char c = processedNameRaw.charAt(i); + + if (!Character.isDigit(c) && c != '(' && c != ')') { + processedName += c; + } + } + + processedNames.add(processedName); + } + + String dependentTaskResourceName = String.join("_and_", processedNames); + + return Option.apply(Task.sequenceDependentFromJavaHelper( + new TaskId(sdt.id + " [UID:" + System.nanoTime() + "]" + " " + dependentTaskResourceName), + Collections.singletonMap(resource, sdt.duration), sdt.energyCost, sdt.montaryCost)); + } + } + }; + } + + public static List<SequenceDependentTaskInfo> makeRandomSequenceDependantTasks(List<RecipeInfo> recipes, + String[] resourceNames, double density, int maxDuration, int maxEnergy, int maxMontary, Random rng) { + if (density < 0.0 || density > 1.0) + throw new IllegalArgumentException(); + + // Collect all (ordered) pairs of recipes that have compatible resources in + // common: + final List<Triple<RecipeInfo, RecipeInfo, Set<Integer>>> sharedResources = new ArrayList<>(); + for (int i = 0; i < recipes.size(); ++i) { + for (int j = 0; j < recipes.size(); ++j) { + if (j == i) + continue; + + final RecipeInfo ri = recipes.get(i); + final RecipeInfo rj = recipes.get(j); + final Set<Integer> icompat = ri.compatibleResources.stream().collect(Collectors.toSet()); + final Set<Integer> jcompat = rj.compatibleResources.stream().collect(Collectors.toSet()); + icompat.retainAll(jcompat); + if (!icompat.isEmpty()) + sharedResources.add(Triple.of(ri, rj, icompat)); + } + } + + final int numSelections = (int) (density * sharedResources.size()); + Collections.shuffle(sharedResources, rng); + final List<Triple<RecipeInfo, RecipeInfo, Set<Integer>>> selected = sharedResources.subList(0, numSelections); + + final List<SequenceDependentTaskInfo> result = new ArrayList<>(); + for (int i = 0; i < selected.size(); ++i) { + + final RecipeInfo ri = selected.get(i).getLeft(); + final RecipeInfo rj = selected.get(i).getMiddle(); + final Set<Integer> compatibleResources = selected.get(i).getRight(); + + // final String resource = resourceNames[ + // compatibleResources.stream().collect(Collectors.toList()).get( + // rng.nextInt(compatibleResources.size() ) ) ]; + for (String resource : resourceNames) { + final String taskId = "idle " + ri.name + " " + rj.name; + result.add(new SequenceDependentTaskInfo(maxDuration, maxEnergy, maxMontary, resource, ri.name, rj.name, + taskId)); + } + } + + return result; + } + + public static SequenceDependentSetup makeSequenceDependantSetup(List<SequenceDependentTaskInfo> sdTasks) { + return new SequenceDependentSetup() { + @Override + public Option<Task> apply(Resource resource, Task last, Task next) { + final String[] lastTokens = last.id().name().split(" "); + final String[] nextTokens = next.id().name().split(" "); + // jeep.lang.Diag.println( "last: " + Arrays.toString( lastTokens ) + "next: " + + // Arrays.toString( nextTokens ) + " resource: " + resource ); + // System.exit(0); + final List<SequenceDependentTaskInfo> matchingTasks = sdTasks.stream() + .filter(sdt -> sdt.lastTaskPrefix.equals(lastTokens[0]) + && sdt.nextTaskPrefix.equals(nextTokens[0]) && sdt.resource.equals(resource.id())) + .collect(Collectors.toList()); + + if (matchingTasks.isEmpty()) + return Option.empty(); + else { + assert (matchingTasks.size() == 1); + final SequenceDependentTaskInfo sdt = matchingTasks.get(0); + return Option.apply( + Task.sequenceDependentFromJavaHelper(new TaskId(sdt.id + "[UID:" + System.nanoTime() + "]"), + Collections.singletonMap(resource, sdt.duration), sdt.energyCost, sdt.montaryCost)); + } + } + }; + } /////////////////////////// - - public SequenceDependentTaskInfo(int duration, double cost, String resource, String lastTaskPrefix, String nextTaskPrefix, String id) { + + public SequenceDependentTaskInfo(int duration, int energyCost, int montaryCost, String resource, + String lastTaskPrefix, String nextTaskPrefix, String id) { this.duration = duration; - this.cost = cost; - this.resource = resource; + this.energyCost = energyCost; + this.montaryCost = montaryCost; + + this.resource = resource; this.lastTaskPrefix = lastTaskPrefix; this.nextTaskPrefix = nextTaskPrefix; - this.id = id; - } - - /////////////////////////// - + this.id = id; + } + @Override public boolean equals(Object rhs) { - return org.apache.commons.lang3.builder.EqualsBuilder.reflectionEquals(this, rhs); + return org.apache.commons.lang3.builder.EqualsBuilder.reflectionEquals(this, rhs); } @Override public int hashCode() { - return org.apache.commons.lang3.builder.HashCodeBuilder.reflectionHashCode(this); + return org.apache.commons.lang3.builder.HashCodeBuilder.reflectionHashCode(this); } - + @Override public String toString() { - return org.apache.commons.lang3.builder.ToStringBuilder.reflectionToString(this,ToStringStyle.SHORT_PREFIX_STYLE); + return org.apache.commons.lang3.builder.ToStringBuilder.reflectionToString(this, + ToStringStyle.SHORT_PREFIX_STYLE); + } + + public String getInfo() { + return id + " " + lastTaskPrefix + " " + nextTaskPrefix + " " + resource + " " + energyCost + " " + duration; + } + + public String getFullInfo() { + return "ID: " + id + " resource: " + resource + " duration: " + duration + " energy: " + energyCost + + " montary: " + montaryCost; } }; diff --git a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/UoYEarlyPrototypeDemo.java b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/UoYEarlyPrototypeDemo.java old mode 100644 new mode 100755 index 658052d16b634ba4041e0456acb289262220b6cb..5f3db95565fb6ae0d26e6ec0a54d13ace10eba0e --- a/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/UoYEarlyPrototypeDemo.java +++ b/src/main/java/uk/ac/york/safire/optimisation/mitm/atb/UoYEarlyPrototypeDemo.java @@ -5,13 +5,27 @@ import java.awt.Graphics; import java.awt.Graphics2D; import java.awt.RenderingHints; import java.awt.image.BufferedImage; +import java.io.File; +import java.io.FileNotFoundException; +import java.io.FileWriter; +import java.io.IOException; +import java.io.PrintWriter; +import java.io.UnsupportedEncodingException; +import java.text.DateFormat; +import java.text.DecimalFormat; +import java.text.SimpleDateFormat; import java.time.Instant; import java.util.ArrayList; +import java.util.Arrays; import java.util.Collections; +import java.util.Date; +import java.util.DoubleSummaryStatistics; import java.util.List; +import java.util.Map; import java.util.Properties; import java.util.Random; import java.util.function.Function; +import java.util.stream.Collectors; import org.apache.commons.cli.CommandLine; import org.apache.commons.cli.CommandLineParser; @@ -20,6 +34,8 @@ import org.apache.commons.cli.HelpFormatter; import org.apache.commons.cli.Option; import org.apache.commons.cli.Options; import org.apache.commons.cli.ParseException; +import org.apache.commons.lang3.tuple.MutablePair; +import org.apache.commons.lang3.tuple.Pair; import org.apache.kafka.clients.consumer.ConsumerConfig; import org.apache.kafka.clients.consumer.ConsumerRecord; import org.apache.kafka.clients.consumer.ConsumerRecords; @@ -33,14 +49,24 @@ import org.apache.kafka.common.serialization.StringSerializer; import jeep.util.ProgressDisplay; import uk.ac.york.aura.Operators; +import uk.ac.york.aura.PopulationEntry; +import uk.ac.york.safire.factoryModel.Electrolux.ElectroluxFactoryModel; +import uk.ac.york.safire.factoryModel.Electrolux.ElectroluxXMLWriter; import uk.ac.york.safire.metrics.Configuration; +import uk.ac.york.safire.metrics.ConfigurationType; +import uk.ac.york.safire.metrics.ControlledMetricType; import uk.ac.york.safire.metrics.OptimisationArguments; import uk.ac.york.safire.metrics.OptimisationResult; +import uk.ac.york.safire.metrics.Utility; +import uk.ac.york.safire.metrics.Value; +import uk.ac.york.safire.metrics.ValueType; +import uk.ac.york.safire.metrics.Value.Int; +import uk.ac.york.safire.metrics.Value.Nominal; +import uk.ac.york.safire.metrics.Value.Real; import uk.ac.york.safire.optimisation.AuraLocalOptimisationEngine; import uk.ac.york.safire.optimisation.ConfigurationUtilities; import uk.ac.york.safire.optimisation.ObjectiveFunction; import uk.ac.york.safire.optimisation.OptimisationEngine; -import uk.ac.york.safire.optimisation.RandomSearchLocalOptimisationEngine; /////////////////////////////////// @@ -51,179 +77,541 @@ import uk.ac.york.safire.optimisation.RandomSearchLocalOptimisationEngine; public final class UoYEarlyPrototypeDemo { - public static OptimisationResult - invokeOE(Configuration config, ObjectiveFunction.LocalObjectiveFunction of, int urgency, int iterations, Random rng) { - // final IAObjectiveFunction of = new OasObjectiveFunction(); - - // final OptimisationEngine oe = new OptimisationEngine.DoNothingOptimisationEngine(); - // final int populationSize = 10000; - final int populationSize = 500; - jeep.lang.Diag.println( "populationSize: " + populationSize ); - // final int minEvaluations = iterations * populationSize; // 10; - // final int maxEvaluations = iterations * populationSize; // 10; - - final OptimisationEngine oe = -// new RandomSearchLocalOptimisationEngine(of,minEvaluations,maxEvaluations,rng); -// JMetalLocalOptimisationEngine.nsga3(minEvaluations, maxEvaluations,of,rng); -// final OptimisationEngine oe = new ExhaustiveSearchLocalOptimisationEngine(of,rng); - new AuraLocalOptimisationEngine(of,iterations,rng); - - // config = IAObjectiveFunction.makeAllResourcesAvailabile(config); - - // final List< Configuration > configs = Collections.singletonList( config ); - final List< Configuration > configs = new ArrayList<>(); // Collections.singletonList( config ); + public static BusinessCase globalBCRef; + public static List<PopulationEntry> lastGeneration = new ArrayList<>(); + public static List<Configuration> previousConfigs = new ArrayList<>(); + + public static OptimisationResult invokeOE(Configuration config, ObjectiveFunction.LocalObjectiveFunction of, + int urgency, int iterations, int populationSize, Random rng, int OE) { + + final OptimisationEngine oe = new AuraLocalOptimisationEngine(of, iterations, rng); + + final List<Configuration> configs = new ArrayList<>(); // Collections.singletonList( config ); configs.add(config); - final Function< Configuration, Configuration > mutation = Operators.hyperMutation(1.0, rng); - for( int i=0; i<populationSize - 1; ++i ) { - // jeep.lang.Diag.println(i); - configs.add(mutation.apply(config)); + final Function<Configuration, Configuration> mutation = Operators.hyperMutation(1.0, rng); + for (int i = 0; i < populationSize - 1; ++i) { + // jeep.lang.Diag.println(i); + configs.add(mutation.apply(config)); } - - final double urgencyNormalised = jeep.math.LinearInterpolation.apply(urgency,0.0, 100.0, 0.0, 1.0 ); - OnaSingleObjectiveFunction.W1_$eq(urgencyNormalised); - OnaSingleObjectiveFunction.W2_$eq(1.0 - urgencyNormalised); - - final long startTime = System.currentTimeMillis(); - final OptimisationResult or = oe.optimise(new OptimisationArguments(configs,0.5,0.5) ); - final long endTime = System.currentTimeMillis(); - System.out.println( "Optmisation took: " + ( (endTime - startTime ) / 1000.0 ) + " seconds" ); - return or; + + List<Map.Entry<String, Value>> linear1 = config.getControlledMetrics().entrySet().stream() + .collect(Collectors.toList()); + linear1.sort((p1, p2) -> p1.getKey().compareTo(p2.getKey())); + + // final double urgencyNormalised = jeep.math.LinearInterpolation.apply(urgency, + // 0.0, 100.0, 0.0, 1.0); + // OnaSingleObjectiveFunction.W1_$eq(urgencyNormalised); + // OnaSingleObjectiveFunction.W2_$eq(1.0 - urgencyNormalised); + + final long startTime = System.currentTimeMillis(); + final OptimisationResult or = oe.optimise(new OptimisationArguments(configs, 0.5, 0.5, OE)); + lastGeneration = OptimisationEngine.lastgeneration; + final long endTime = System.currentTimeMillis(); + System.out.println("Optmisation took: " + ((endTime - startTime) / 1000.0) + " seconds"); + + return or; } /////////////////////////////// - + private static long memoryUsageInMB() { System.gc(); - final Runtime rt = Runtime.getRuntime(); - final long usedMB = (rt.totalMemory() - rt.freeMemory()) / ( 1024 * 1024 ); - return usedMB; + final Runtime rt = Runtime.getRuntime(); + final long usedMB = (rt.totalMemory() - rt.freeMemory()) / (1024 * 1024); + return usedMB; } - + /////////////////////////////// - - private static void run(KafkaConsumer<String, String> uoyConsumer, - Producer< String, String > uoyProducer, long maxTopicUpdates, - ObjectiveFunction.LocalObjectiveFunction of, - int urgency, - int iterations, - Random rng) { - + + private static void run(KafkaConsumer<String, String> uoyConsumer, Producer<String, String> uoyProducer, + long maxTopicUpdates, ObjectiveFunction.LocalObjectiveFunction of, int urgency, int iterations, + BusinessCase bc, Random rng) { + + for (int i = 0; i < 3; i++) + previousConfigs.add(null); + long maxMemoryUsage = memoryUsageInMB(); - for( int i=0; i<maxTopicUpdates; ++i ) { + for (int i = 0; i < maxTopicUpdates; ++i) { + // try { + // Thread.sleep(5000); + // } catch (InterruptedException e1) { + // e1.printStackTrace(); + // } final ConsumerRecords<String, String> records = uoyConsumer.poll(5000); + if (!records.isEmpty()) + System.out.println("Json received!"); + + System.out.println("Number of optimisation: " + i); + for (ConsumerRecord<String, String> record : records) { - // System.out.printf("Received Message topic =%s, partition =%s, offset = %d, key = %s, value = %s\n", record.topic(), record.partition(), record.offset(), record.key(), record.value()); - - final Configuration config = new uk.ac.york.safire.metrics.JsonConverter().fromJson(record.value(), Configuration.class); - - // jeep.lang.Diag.println( "objectives before:" + config.getKeyObjectives() ); - OptimisationResult or = invokeOE( config, of, urgency, iterations, rng ); - final Configuration optimisedConfig = or.getReconfigurations().get(0); - // TODO: display status string for all reconfigurations - System.out.println( ConfigurationUtilities.getStatusString(optimisedConfig) ); - - final long memoryUsage = memoryUsageInMB(); - maxMemoryUsage = Math.max(memoryUsage,maxMemoryUsage); - System.out.println("Maximum memory usage: " + maxMemoryUsage + "MB" ); - - // jeep.lang.Diag.println( "objectives after:" + optimisedConfig.getKeyObjectives() ); - - final String configJSON = new uk.ac.york.safire.metrics.JsonConverter().toJson(optimisedConfig); - final Instant now = Instant.now(); // get time in UTC - final ProducerRecord<String, String> data = new ProducerRecord<String, String>("OptimisationEngineResult", "timestamp: " + now, configJSON ); + String received = record.value(); + String factory = received.substring(0, 3); + String receivedConfig = received.substring(3); + + Configuration prevConfig = null; + int caseIndex = -1; + String bcMode = ""; + switch (bc) { + case OAS: + bcMode = "OAS"; + UoYEarlyPrototypeDemo.globalBCRef = BusinessCase.OAS; + prevConfig = previousConfigs.get(0); + caseIndex = 0; + break; + case ONA: + bcMode = "ONA"; + UoYEarlyPrototypeDemo.globalBCRef = BusinessCase.ONA; + prevConfig = previousConfigs.get(1); + caseIndex = 1; + break; + case Electrolux: + bcMode = "ELE"; + UoYEarlyPrototypeDemo.globalBCRef = BusinessCase.Electrolux; + prevConfig = previousConfigs.get(2); + caseIndex = 2; + break; + + default: + break; + } + + if (!bcMode.equalsIgnoreCase(factory)) { + System.out.println("Wrong Json, try again or clear kafka queue."); + continue; + } + + Configuration config = new uk.ac.york.safire.metrics.JsonConverter().fromJson(receivedConfig, + Configuration.class); + + if (prevConfig != null) { + + Map<String, Value> control = prevConfig.getControlledMetrics(); + List<MutablePair<String, Value>> controlsList = control.entrySet().stream() + .map(e -> MutablePair.of(e.getKey(), e.getValue())).collect(Collectors.toList()); + + Map<String, Value> ranControl = config.getControlledMetrics(); + List<MutablePair<String, Value>> ranControlsList = ranControl.entrySet().stream() + .map(e -> MutablePair.of(e.getKey(), e.getValue())).collect(Collectors.toList()); + + for (int k = 0; k < controlsList.size(); ++k) { + MutablePair<String, Value> p = controlsList.get(k); + String key = p.getKey(); + Value value = p.getValue(); + + for (int j = 0; j < ranControlsList.size(); ++j) { + MutablePair<String, Value> ranP = ranControlsList.get(j); + String ranKey = ranP.getKey(); + + if (key.equals(ranKey)) { + if (key.contains("allocation")) { + Nominal allocValue = (Nominal) value; + String currentAllocation = allocValue.getValue(); + + uk.ac.york.safire.metrics.ValueType.Nominal allocType = (uk.ac.york.safire.metrics.ValueType.Nominal) allocValue + .getType(); + String name = allocType.getName(); + + String[] comptiableResources = new String[1]; + comptiableResources[0] = currentAllocation; + + Nominal newValue = new Nominal(currentAllocation, + ValueType.nominalType(name, comptiableResources)); + + ranP.setValue(newValue); + + } else { + Int priorityValue = (Int) value; + int currentPriority = priorityValue.value; + + Int newValue = new Int(currentPriority, + ValueType.intType(currentPriority, currentPriority)); + ranP.setValue(newValue); + } + } + } + + } + + Map<String, Value> newRanConfigType = ranControlsList.stream() + .collect(Collectors.toMap(Pair::getKey, Pair::getValue)); + + config = new Configuration(config.getConfigurationType(), newRanConfigType, + config.getObservableMetrics(), config.getKeyObjectives()); + } + + OptimisationResult or = null; + if (bcMode.equals("ONA")) + or = invokeOE(config, of, urgency, iterations, populationSize, rng, 1); + else + or = invokeOE(config, of, urgency, iterations, populationSize, rng, 2); + + final Configuration optimisedConfig = or.getReconfigurations().get(0); + // System.out.println(ConfigurationUtilities.getStatusString(optimisedConfig)); + + previousConfigs.set(caseIndex, optimisedConfig); + + final long memoryUsage = memoryUsageInMB(); + maxMemoryUsage = Math.max(memoryUsage, maxMemoryUsage); + System.out.println("Maximum memory usage: " + maxMemoryUsage + "MB"); + + DateFormat dateFormat = new SimpleDateFormat("yyyy/MM/dd HH:mm:ss"); + Date date = new Date(); + // System.out.println("Date: " + dateFormat.format(date)); + // + // Date d2 = null; + // try { + // d2 = dateFormat.parse(dateFormat.format(date)); + // } catch (java.text.ParseException e) { + // // TODO Auto-generated catch block + // e.printStackTrace(); + // } + // + // DateFormat dateFormat2 = new SimpleDateFormat("yyyy/MM/dd"); + // DateFormat dateFormat3 = new SimpleDateFormat("HH:mm:ss"); + // System.out.println(dateFormat2.format(d2) + " --- " + + // dateFormat3.format(d2)); + // System.out.println(d2.before(date)); + // System.out.println(d2.after(date)); + + String schedInfo = ConfigurationUtilities.getStatusString(optimisedConfig); + + final String configJSON = FormattedResult.getFormattedOut(schedInfo, bc, dateFormat.format(date), + maxMemoryUsage); + final Instant now = Instant.now(); // get time in UTC + final ProducerRecord<String, String> data = new ProducerRecord<String, String>( + "OptimisationEngineResult", "timestamp: " + now, configJSON); + + UoYEarlyPrototypeDemo.writeSystem("outputJSON", configJSON); + + // System.out.println(data.value()); uoyProducer.send(data); + + jeep.lang.Diag.println("#front: " + or.getReconfigurations().size()); + List<List<Value>> results = new ArrayList<List<Value>>(); + + for (Configuration c : or.getReconfigurations()) { + List<Value> result = new ArrayList<Value>(); + + if (c.getKeyObjectives().get("makespan") != null) + result.add(c.getKeyObjectives().get("makespan")); + + if (c.getKeyObjectives().get("energy") != null) + result.add(c.getKeyObjectives().get("energy")); + + if (c.getKeyObjectives().get("montary") != null) + result.add(c.getKeyObjectives().get("montary")); + + if (c.getKeyObjectives().get("urgency") != null) + result.add(c.getKeyObjectives().get("urgency")); + + if (c.getKeyObjectives().get("quality") != null) + result.add(c.getKeyObjectives().get("quality")); + + // if (c.getKeyObjectives().get("Std Weiss amount discrepancy score") != null) + // result.add(c.getKeyObjectives().get("Std Weiss amount discrepancy score")); + // + // if (c.getKeyObjectives().get("Weiss Matt amount discrepancy score") != null) + // result.add(c.getKeyObjectives().get("Weiss Matt amount discrepancy score")); + // + // if (c.getKeyObjectives().get("Super Glanz amount discrepancy score") != null) + // result.add(c.getKeyObjectives().get("Super Glanz amount discrepancy score")); + // + // if (c.getKeyObjectives().get("Weiss Basis amount discrepancy score") != null) + // result.add(c.getKeyObjectives().get("Weiss Basis amount discrepancy score")); + // + // if (c.getKeyObjectives().get("Boiled Water amount discrepancy score") != + // null) + // result.add(c.getKeyObjectives().get("Boiled Water amount discrepancy + // score")); + // + // if (c.getKeyObjectives().get("Pasta amount discrepancy score") != null) + // result.add(c.getKeyObjectives().get("Pasta amount discrepancy score")); + // + // if (c.getKeyObjectives().get("Rice amount discrepancy score") != null) + // result.add(c.getKeyObjectives().get("Rice amount discrepancy score")); + // + // if (c.getKeyObjectives().get("Beef amount discrepancy score") != null) + // result.add(c.getKeyObjectives().get("Beef amount discrepancy score")); + // + // if (c.getKeyObjectives().get("Potato amount discrepancy score") != null) + // result.add(c.getKeyObjectives().get("Potato amount discrepancy score")); + // + // if (c.getKeyObjectives().get("Mushroom amount discrepancy score") != null) + // result.add(c.getKeyObjectives().get("Mushroom amount discrepancy score")); + + results.add(result); + } + List<List<Double>> analysableResults = new ArrayList<List<Double>>(); + for (int j = 0; j < results.get(0).size(); j++) { + analysableResults.add(new ArrayList<Double>()); + } + + String finalResult = "Generations: " + iterations + " Populations: " + iterations + + " Optimization Engine: " + 1 + "\n"; + + for (int j = 0; j < results.size(); j++) { + for (int k = 0; k < results.get(j).size(); k++) { + Real objective = (Real) results.get(j).get(k); + finalResult += objective.value + " "; + analysableResults.get(k).add((double) objective.value); + } + + finalResult += "\n"; + } + finalResult += "\n"; + System.out.println(finalResult); + + DecimalFormat df = new DecimalFormat("0.00"); + + for (int j = 0; j < analysableResults.size(); j++) { + DoubleSummaryStatistics stats = analysableResults.get(j).stream().mapToDouble((x) -> x) + .summaryStatistics(); + System.out.println("Average: " + df.format(stats.getAverage()) + " Min: " + + df.format(stats.getMin()) + " Max: " + df.format(stats.getMax())); + } + + } + + // uoyConsumer.commitSync(); + try { + uoyConsumer.commitSync(); + } catch (Exception e) { + // System.out.println(" catch it! optimisation finished."); + } + } + } + + private static void runLocal(ObjectiveFunction.LocalObjectiveFunction of, ConfigurationType ct, Random rng, + Params params, BusinessCase bc, String name) { + + final Configuration config = Utility.randomConfiguration(ct, rng); + UoYEarlyPrototypeDemo.writeSystem("input " + name, + new uk.ac.york.safire.metrics.JsonConverter().toJson(config)); + final int engine = 1; + final int urgency = params.urgency; + final int iterations = params.iterations; + final int populationSize = 50; + jeep.lang.Diag.println(ct.getControlledMetrics().size() / 2 + " optimisation started: engine: " + engine + + " population: " + populationSize + " generation: " + iterations); + long maxMemoryUsage = memoryUsageInMB(); + final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config, of, urgency, iterations, populationSize, + rng, engine); + /////////////////////// + + final Configuration optimisedConfig = or.getReconfigurations().get(0); + System.out.println(ConfigurationUtilities.getStatusString(optimisedConfig)); + + String schedInfo = ConfigurationUtilities.getStatusString(optimisedConfig); + + final long memoryUsage = memoryUsageInMB(); + maxMemoryUsage = Math.max(memoryUsage, maxMemoryUsage); + System.out.println("Maximum memory usage: " + maxMemoryUsage + "MB"); + + DateFormat dateFormat = new SimpleDateFormat("yyyy/MM/dd HH:mm:ss"); + Date date = new Date(); + System.out.println("Date: " + dateFormat.format(date)); + + final String configJSON = FormattedResult.getFormattedOut(schedInfo, bc, dateFormat.format(date), + maxMemoryUsage); + final Instant now = Instant.now(); // get time in UTC + final ProducerRecord<String, String> data = new ProducerRecord<String, String>("OptimisationEngineResult", + "timestamp: " + now, configJSON); + + UoYEarlyPrototypeDemo.writeSystem("output " + name, configJSON); + + jeep.lang.Diag.println("#front: " + or.getReconfigurations().size()); + + List<List<Value>> results = new ArrayList<List<Value>>(); + + for (Configuration c : or.getReconfigurations()) { + List<Value> result = new ArrayList<Value>(); + + if (c.getKeyObjectives().get("makespan") != null) + result.add(c.getKeyObjectives().get("makespan")); + + if (c.getKeyObjectives().get("energy") != null) + result.add(c.getKeyObjectives().get("energy")); + + if (c.getKeyObjectives().get("montary") != null) + result.add(c.getKeyObjectives().get("montary")); + + if (c.getKeyObjectives().get("urgency") != null) + result.add(c.getKeyObjectives().get("urgency")); + + if (c.getKeyObjectives().get("quality") != null) + result.add(c.getKeyObjectives().get("quality")); + + if (c.getKeyObjectives().get("Std Weiss amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Std Weiss amount discrepancy score")); + + if (c.getKeyObjectives().get("Weiss Matt amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Weiss Matt amount discrepancy score")); + + if (c.getKeyObjectives().get("Super Glanz amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Super Glanz amount discrepancy score")); + + if (c.getKeyObjectives().get("Weiss Basis amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Weiss Basis amount discrepancy score")); + + if (c.getKeyObjectives().get("Boiled Water amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Boiled Water amount discrepancy score")); + + if (c.getKeyObjectives().get("Pasta amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Pasta amount discrepancy score")); + + if (c.getKeyObjectives().get("Rice amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Rice amount discrepancy score")); + + if (c.getKeyObjectives().get("Beef amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Beef amount discrepancy score")); + + if (c.getKeyObjectives().get("Potato amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Potato amount discrepancy score")); + + if (c.getKeyObjectives().get("Mushroom amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Mushroom amount discrepancy score")); + + results.add(result); + } + List<List<Double>> analysableResults = new ArrayList<List<Double>>(); + for (int j = 0; j < results.get(0).size(); j++) { + analysableResults.add(new ArrayList<Double>()); + } + + String finalResult = "Generations: " + iterations + " Populations: " + iterations + " Optimization Engine: " + 1 + + "\n"; + + for (int j = 0; j < results.size(); j++) { + for (int k = 0; k < results.get(j).size(); k++) { + Real objective = (Real) results.get(j).get(k); + finalResult += objective.value + " "; + analysableResults.get(k).add((double) objective.value); } - uoyConsumer.commitSync(); + finalResult += "\n"; + } + finalResult += "\n"; + System.out.println(finalResult); + + DecimalFormat df = new DecimalFormat("0.00"); + + for (int j = 0; j < analysableResults.size(); j++) { + DoubleSummaryStatistics stats = analysableResults.get(j).stream().mapToDouble((x) -> x).summaryStatistics(); + System.out.println("Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + + " Max: " + df.format(stats.getMax())); } + + // System.out.println(ct.getControlledMetrics().size() / 2 + " down."); + System.out.println(data.value()); + } - + /////////////////////////////// - - private static KafkaConsumer<String, String> - createUoYConsumer(String bootstrapServersConfig) { + + private static KafkaConsumer<String, String> createUoYConsumer(String bootstrapServersConfig) { final Properties consumerConfig = new Properties(); consumerConfig.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServersConfig); consumerConfig.put(ConsumerConfig.GROUP_ID_CONFIG, "my-group"); // consumerConfig.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest"); - consumerConfig.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName() ); - consumerConfig.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName() ); + consumerConfig.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName()); + consumerConfig.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName()); + + // consumerConfig.put("fetch.message.max.bytes", "" + 1024 * 1024 * 42); + + // consumerConfig.put("max.request.size", "" + 1024 * 1024 * 20); + // consumerConfig.put("message.max.bytes", "" + 1024 * 1024 * 20); + // consumerConfig.put("replica.fetch.max.bytes", "" + 1024 * 1024 * 20); + consumerConfig.put("max.message.bytes", "" + 52428800); + // consumerConfig.put("session.timeout.ms", "" + 25000000); return new KafkaConsumer<>(consumerConfig); } - private static Producer<String, String> - createUoYProducer(String bootstrapServersConfig) { + private static Producer<String, String> createUoYProducer(String bootstrapServersConfig) { final Properties props = new Properties(); props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServersConfig); - + // props.put(ProducerConfig.CLIENT_ID_CONFIG, "test.app.producer"); props.put(ProducerConfig.ACKS_CONFIG, "all"); props.put(ProducerConfig.RETRIES_CONFIG, 0); - props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName() ); - props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName() ); - + props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName()); + props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName()); + + // props.put("message.max.bytes", "" + 1024 * 1024 * 40); + // props.put("replica.fetch.max.bytes", "" + 1024 * 1024 * 41); + + // props.put("key.serializer", + // "org.apache.kafka.common.serialization.StringSerializer"); + // props.put("value.serializer", + // "org.apache.kafka.common.serialization.ByteArraySerializer"); + //// props.put("bootstrap.servers", brokerList); + // props.put("compression.type", "gzip"); + + // props.put("max.request.size", "" + 1024 * 1024 * 40); + // props.put("fetch.message.max.bytes", "" + 1024 * 1024 * 40); + props.put("max.message.bytes", "" + 52428800); return new KafkaProducer<String, String>(props); } - + /////////////////////////////// - - static void runUoY(long maxTopicUpdates, String bootstrapServersConfig, BusinessCase bc, int urgency, int iterations, Random rng) { + + static void runUoY(long maxTopicUpdates, String bootstrapServersConfig, BusinessCase bc, int urgency, + int iterations, Random rng) { final KafkaConsumer<String, String> uoyConsumer = createUoYConsumer(bootstrapServersConfig); final Producer<String, String> uoyProducer = createUoYProducer(bootstrapServersConfig); - final ObjectiveFunction.LocalObjectiveFunction of = bc.getObjectiveFunction(); - + final ObjectiveFunction.LocalObjectiveFunction of = bc.getObjectiveFunction(); + try { - uoyConsumer.subscribe( Collections.singletonList("ResourceAvailability") ); - run(uoyConsumer, uoyProducer, maxTopicUpdates, of, urgency, iterations, rng); - } - finally { + uoyConsumer.subscribe(Collections.singletonList("ResourceAvailability")); + run(uoyConsumer, uoyProducer, maxTopicUpdates, of, urgency, iterations, bc, rng); + } finally { uoyConsumer.close(); uoyProducer.close(); ATBSimulatorKafkaProducer.isFinished = true; } } - + /////////////////////////////// - - static void runUoYandATB(long maxTopicUpdates, - String bootstrapServersConfig, - int finalPercentAvailability, - long updateTopicStringEveryMillis, - BusinessCase bc, - int urgency, - int iterations, - Random rng) { - - final Producer<String, String - > atbProducer = ATBSimulatorKafkaProducer.createATBProducer(bootstrapServersConfig); - - final Thread atbProducerThread = new Thread("atbProducerThread"){ - @Override - public void run(){ - try { - // final ConfigurationType configurationType = ATBSimulatorKafkaProducer.hardwiredConfigurationType(percentAvailability, rng); - ATBSimulatorKafkaProducer.run(finalPercentAvailability, atbProducer, updateTopicStringEveryMillis, maxTopicUpdates, bc, rng ); - } finally { - atbProducer.close(); - } - } - }; - - ////////////////////////// - - atbProducerThread.start(); - runUoY(maxTopicUpdates, bootstrapServersConfig, bc, urgency, iterations, rng); + + static void runUoYandATB(long maxTopicUpdates, String bootstrapServersConfig, int finalPercentAvailability, + long updateTopicStringEveryMillis, BusinessCase bc, int urgency, int iterations, Random rng) { + + final Producer<String, String> atbProducer = ATBSimulatorKafkaProducer + .createATBProducer(bootstrapServersConfig); + + final Thread atbProducerThread = new Thread("atbProducerThread") { + @Override + public void run() { + try { + ATBSimulatorKafkaProducer.run(finalPercentAvailability, atbProducer, updateTopicStringEveryMillis, + maxTopicUpdates, bc, rng); + } finally { + atbProducer.close(); + } + } + }; + + ////////////////////////// + + atbProducerThread.start(); + try { + System.out.println("wait for atb producer input."); + Thread.sleep(3000); + } catch (InterruptedException e) { + // TODO Auto-generated catch block + e.printStackTrace(); + } + runUoY(maxTopicUpdates, bootstrapServersConfig, bc, urgency, iterations, rng); } - - /////////////////////////////// - private static String makeBanner(String arg ) { + /////////////////////////////// + + private static String makeBanner(String arg) { final int imageWidth = 80; // 144; - final int imageHeight = 32; + final int imageHeight = 32; BufferedImage image = new BufferedImage(imageWidth, imageHeight, BufferedImage.TYPE_INT_RGB); Graphics g = image.getGraphics(); final int fontSize = 10; // 24 @@ -231,67 +619,83 @@ public final class UoYEarlyPrototypeDemo { Graphics2D graphics = (Graphics2D) g; graphics.setRenderingHint(RenderingHints.KEY_TEXT_ANTIALIASING, RenderingHints.VALUE_TEXT_ANTIALIAS_ON); // graphics.drawString( "Hello World!", 6, 24); - graphics.drawString( arg, 6, fontSize ); // 24); + graphics.drawString(arg, 6, fontSize); // 24); // ImageIO.write(image, "png", new File("text.png")); StringBuilder result = new StringBuilder(); - for (int y = 0; y < imageHeight; ++y ) { + for (int y = 0; y < imageHeight; ++y) { StringBuilder sb = new StringBuilder(); - for (int x = 0; x < imageWidth; ++x ) { - // sb.append(image.getRGB(x, y) == -16777216 ? " " : image.getRGB(x, y) == -1 ? "#" : "*"); + for (int x = 0; x < imageWidth; ++x) { + // sb.append(image.getRGB(x, y) == -16777216 ? " " : image.getRGB(x, y) == -1 ? + // "#" : "*"); sb.append(image.getRGB(x, y) == -16777216 ? " " : "*"); } - - if (sb.toString().trim().isEmpty()) + + if (sb.toString().trim().isEmpty()) continue; result.append(sb + "\n"); } return result.toString(); } - + /////////////////////////////// - + private final static class Params { - + final int finalAvailabilityPercent; final int topicUpdateEverySeconds; final int numUpdates; final long randomSeed; - final boolean useOnaObjectiveFunction; + final int factory; final int urgency; - final int iterations; - + final int iterations; + /////////////////////////// - - Params(int finalAvailabilityPercent, int topicUpdateEverySeconds, int numUpdates, long randomSeed,boolean useOnaObjectiveFunction, int urgency,int iterations) { + + Params(int finalAvailabilityPercent, int topicUpdateEverySeconds, int numUpdates, long randomSeed, int factory, + int urgency, int iterations) { this.finalAvailabilityPercent = finalAvailabilityPercent; this.topicUpdateEverySeconds = topicUpdateEverySeconds; this.numUpdates = numUpdates; - this.randomSeed = randomSeed; - this.useOnaObjectiveFunction = useOnaObjectiveFunction; + this.randomSeed = randomSeed; + this.factory = factory; this.urgency = urgency; - this.iterations = iterations; + this.iterations = iterations; } } - - private static Params parseCommandLine(String [] args) { - - int finalAvailabilityPercent = 90; + + private static Params parseCommandLine(String[] args) { + + int finalAvailabilityPercent = 100; int topicUpdateEverySeconds = 30; int numUpdates = 100; - long randomSeed = System.currentTimeMillis(); - boolean useOnaObjectiveFunction = false; + long randomSeed = System.currentTimeMillis(); + int factory = 0; int urgency = 50; - int iterations = 10; - + int iterations = generationSize; + + assert (args.length > 0); + + String factoryName = args[0]; + + if (factoryName.equalsIgnoreCase("OAS")) + factory = 1; + if (factoryName.equalsIgnoreCase("ONA")) + factory = 2; + if (factoryName.equalsIgnoreCase("Electrolux") || factoryName.equalsIgnoreCase("ele")) + factory = 3; + + assert (factory != 0); + /////////////////////////// - + final Options options = new Options(); final Option availOpt = new Option("a", "avail", true, "Final mixer availability percentage"); availOpt.setRequired(false); options.addOption(availOpt); - final Option topicUpdateEveryOpt = new Option("u", "updateperiod", true, "ATB simulator - topic update period (seconds)"); + final Option topicUpdateEveryOpt = new Option("u", "updateperiod", true, + "ATB simulator - topic update period (seconds)"); topicUpdateEveryOpt.setRequired(false); options.addOption(topicUpdateEveryOpt); @@ -314,127 +718,269 @@ public final class UoYEarlyPrototypeDemo { final Option iterOpt = new Option("i", "iterations", true, "Optimiser iterations"); iterOpt.setRequired(false); options.addOption(iterOpt); - + final CommandLineParser parser = new DefaultParser(); - + /////////////////////////// - try { - final CommandLine cmd = parser.parse(options, args); - - { - String s = cmd.getOptionValue("avail", "" + finalAvailabilityPercent ); - final int val = Integer.valueOf(s); - if( val >= 0 && val <= 100 ) - finalAvailabilityPercent = val; - } - - { - String s = cmd.getOptionValue("updateperiod", "" + topicUpdateEverySeconds ); - final int val = Integer.valueOf(s); - if( val > 0 ) - topicUpdateEverySeconds = val; - } - - { - String s = cmd.getOptionValue("numupdates", "" + numUpdates ); - final int val = Integer.valueOf(s); - if( val > 0 ) - numUpdates = val; - } - - { - String s = cmd.getOptionValue("randomseed", "" + randomSeed ); - final long val = Long.valueOf(s); - if( val > 0 ) - randomSeed = val; - } - - { - String s = cmd.getOptionValue("urgency", "" + urgency ); - final double val = Double.valueOf(s); - if( val >= 0 && val <= 100 ) - urgency = (int)val; - } - { - String s = cmd.getOptionValue("iterations", "" + iterations ); - final int val = Integer.valueOf(s); - if( val >= 0 ) - iterations = (int)val; - } - - useOnaObjectiveFunction = cmd.hasOption("ona" ); - - } catch (ParseException | NumberFormatException e ) { - System.out.println(e.getClass().getSimpleName() + " " + e.getMessage()); - final HelpFormatter formatter = new HelpFormatter(); - formatter.printHelp( UoYEarlyPrototypeDemo.class.getSimpleName(), options); - - System.exit(1); - } - - ////////////////////////// - - return new Params(finalAvailabilityPercent, topicUpdateEverySeconds, numUpdates, randomSeed,useOnaObjectiveFunction,urgency,iterations); + try { + final CommandLine cmd = parser.parse(options, args); + + { + String s = cmd.getOptionValue("avail", "" + finalAvailabilityPercent); + final int val = Integer.valueOf(s); + if (val >= 0 && val <= 100) + finalAvailabilityPercent = val; + } + + { + String s = cmd.getOptionValue("updateperiod", "" + topicUpdateEverySeconds); + final int val = Integer.valueOf(s); + if (val > 0) + topicUpdateEverySeconds = val; + } + + { + String s = cmd.getOptionValue("numupdates", "" + numUpdates); + final int val = Integer.valueOf(s); + if (val > 0) + numUpdates = val; + } + + { + String s = cmd.getOptionValue("randomseed", "" + randomSeed); + final long val = Long.valueOf(s); + if (val > 0) + randomSeed = val; + } + + { + String s = cmd.getOptionValue("urgency", "" + urgency); + final double val = Double.valueOf(s); + if (val >= 0 && val <= 100) + urgency = (int) val; + } + { + String s = cmd.getOptionValue("iterations", "" + iterations); + final int val = Integer.valueOf(s); + if (val >= 0) + iterations = (int) val; + } + + // useOnaObjectiveFunction = cmd.hasOption("ona"); + + } catch (ParseException | NumberFormatException e) { + System.out.println(e.getClass().getSimpleName() + " " + e.getMessage()); + final HelpFormatter formatter = new HelpFormatter(); + formatter.printHelp(UoYEarlyPrototypeDemo.class.getSimpleName(), options); + + System.exit(1); + } + + ////////////////////////// + + return new Params(finalAvailabilityPercent, topicUpdateEverySeconds, numUpdates, randomSeed, factory, urgency, + iterations); } - - /////////////////////////////// - + + /////////////////////////////// + + public static int populationSize = 10; + public static int generationSize = 5; + public static void main(String[] args) { - System.out.println( makeBanner("OE Demo") ); - if( CompilationTime.get().isPresent() ) - System.out.println( "build time: " + CompilationTime.get().get() ); - - System.out.println(); - - /////////////////////////// - - final Params params = parseCommandLine(args); - - /////////////////////////// - - final Random rng = new Random(0xDEADBEEF); - final String bootstrapServersConfig = "localhost:9092"; - final long updateTopicStringEveryMillis = params.topicUpdateEverySeconds * 1000; - - /////////////////////////// - - System.out.println( "PARAMETERS:" ); - System.out.println( "Final mixer availability probability: " + params.finalAvailabilityPercent + "%" ); - System.out.println( "ATB simulator posts mixer status topic updates every " + params.topicUpdateEverySeconds + " seconds"); - System.out.println( "Num ATB simulator topic updates: " + params.numUpdates ); - System.out.println( "Random seed: " + params.randomSeed ); - System.out.println( "OE invocations: " + params.iterations ); - System.out.println( "Use ONA objective function: " + params.useOnaObjectiveFunction ); - System.out.println( "Schedule urgency: " + params.urgency + "%" ); - System.out.println( "End PARAMETERS" ); - System.out.println(); - - System.out.println( "Configuring..." ); - final long maxCount = 1L << 32; - final ProgressDisplay progress = new ProgressDisplay(maxCount); - for( long i=0; i<maxCount; ++i ) - progress.increment(); - - /////////////////////////// - - final BusinessCase bc = params.useOnaObjectiveFunction ? BusinessCase.ONA : BusinessCase.OAS; - - runUoYandATB( - params.numUpdates, - bootstrapServersConfig, - params.finalAvailabilityPercent, - updateTopicStringEveryMillis, - bc, - params.urgency, - params.iterations, - rng); - - /////////////////////////// - - System.out.println( "All done." ); + System.out.println(makeBanner("OE Demo")); + if (CompilationTime.get().isPresent()) + System.out.println("build time: " + CompilationTime.get().get()); + + System.out.println(); + + /////////////////////////// + + final Params params = parseCommandLine(args); + + /////////////////////////// + + final Random rng = new Random(0xDEADBEEF); + final String bootstrapServersConfig = "localhost:9092"; + final long updateTopicStringEveryMillis = params.topicUpdateEverySeconds * 1000; + + /////////////////////////// + BusinessCase bc = null; + switch (params.factory) { + case 1: + OasProductionLineConfigurationType.presetup(); + bc = BusinessCase.OAS; + break; + case 2: + OnaConfigurationType.presetup(); + bc = BusinessCase.ONA; + break; + case 3: + ElectroluxConfigurationType.presetup(); + bc = BusinessCase.Electrolux; + break; + + default: + break; + } + + assert (bc != null); + + System.out.println("PARAMETERS:"); + System.out.println("Final mixer availability probability: " + params.finalAvailabilityPercent + "%"); + System.out.println( + "ATB simulator posts mixer status topic updates every " + params.topicUpdateEverySeconds + " seconds"); + System.out.println("Num ATB simulator topic updates: " + params.numUpdates); + System.out.println("Random seed: " + params.randomSeed); + System.out.println("OE invocations: " + params.iterations); + System.out.println("Factory: " + bc.toString()); + System.out.println("Schedule urgency: " + params.urgency + "%"); + System.out.println("End PARAMETERS"); + System.out.println(); + + System.out.println("Configuring..."); + final long maxCount = 1L << 32; + final ProgressDisplay progress = new ProgressDisplay(maxCount); + for (long i = 0; i < maxCount; ++i) + progress.increment(); + + /////////////////////////// + + runUoYandATB(params.numUpdates, bootstrapServersConfig, params.finalAvailabilityPercent, + updateTopicStringEveryMillis, bc, params.urgency, params.iterations, rng); + + /////////////////////////// + + System.out.println("All done."); + } + + static String name = ""; + + public static void mainForEle(String args[]) { + String[] fixed = { "ele" }; + + initAvailability(); + ElectroluxXMLWriter.write(); + EleUnavailableDemo(fixed, "all available"); + + for (int i = 0; i < 6; i++) { + initAvailability(); + + if (i < 4) { + name = "CZ " + (i + 1) + " not available"; + ElectroluxFactoryModel.cookingZoneAvailability[i] = 0; + ElectroluxXMLWriter.write(); + EleUnavailableDemo(fixed, name); + } else { + name = "Pot " + (i + 1 - 4) + " not available"; + ElectroluxFactoryModel.potAvailability[i - 4] = 0; + ElectroluxXMLWriter.write(); + EleUnavailableDemo(fixed, name); + } + } + + initAvailability(); + ElectroluxFactoryModel.cookingZoneAvailability[0] = 0; + ElectroluxFactoryModel.potAvailability[0] = 0; + ElectroluxXMLWriter.write(); + EleUnavailableDemo(fixed, "CZ 1 Pot 1 not available"); + + initAvailability(); + ElectroluxFactoryModel.cookingZoneAvailability[2] = 0; + ElectroluxFactoryModel.potAvailability[0] = 0; + ElectroluxXMLWriter.write(); + EleUnavailableDemo(fixed, "CZ 3 Pot 1 not available"); + + initAvailability(); + ElectroluxFactoryModel.cookingZoneAvailability[1] = 0; + ElectroluxFactoryModel.potAvailability[1] = 0; + ElectroluxXMLWriter.write(); + EleUnavailableDemo(fixed, "CZ 2 Pot 2 not available"); + + initAvailability(); + ElectroluxFactoryModel.cookingZoneAvailability[3] = 0; + ElectroluxFactoryModel.potAvailability[1] = 0; + ElectroluxXMLWriter.write(); + EleUnavailableDemo(fixed, "CZ 4 Pot 2 not available"); + + } + + private static void initAvailability() { + for (int i = 0; i < 4; i++) { + ElectroluxFactoryModel.cookingZoneAvailability[i] = 1; + } + for (int i = 0; i < 2; i++) { + ElectroluxFactoryModel.potAvailability[i] = 1; + } + + ElectroluxConfigurationType.ElectroluxReader = null; + } + + public static void EleUnavailableDemo(String[] args, String name) { + + System.out.println(makeBanner("OE Demo")); + if (CompilationTime.get().isPresent()) + System.out.println("build time: " + CompilationTime.get().get()); + + System.out.println(); + + final Params params = parseCommandLine(args); + final Random rng = new Random(0xDEADBEEF); + + BusinessCase bc = null; + switch (params.factory) { + case 1: + OasProductionLineConfigurationType.presetup(); + bc = BusinessCase.OAS; + break; + case 2: + OnaConfigurationType.presetup(); + bc = BusinessCase.ONA; + break; + case 3: + ElectroluxConfigurationType.presetup(); + bc = BusinessCase.Electrolux; + break; + + default: + break; + } + + assert (bc != null); + + System.out.println("Factory: " + bc.toString()); + + ConfigurationType ct = bc.getConfigurationType(params.finalAvailabilityPercent, rng); + ObjectiveFunction.LocalObjectiveFunction of = bc.getObjectiveFunction(); + + runLocal(of, ct, rng, params, bc, name); + + System.out.println("All done."); + } + + public static void writeSystem(String filename, String result) { + PrintWriter writer = null; + try { + writer = new PrintWriter(new FileWriter(new File("result/" + filename + ".txt"), false)); + } catch (FileNotFoundException e) { + e.printStackTrace(); + } catch (UnsupportedEncodingException e) { + e.printStackTrace(); + } catch (IOException e) { + e.printStackTrace(); + } + + writer.println(result); + writer.close(); } } // End /////////////////////////////////////////////////////////////// + +// TODO List +/* + * 1. unAvailable Times; 2. no waste production (improved version for pot + * capability); 3. Energy level; + */ diff --git a/src/main/java/uk/ac/york/safire/ttp/TTPInstance.java b/src/main/java/uk/ac/york/safire/ttp/TTPInstance.java old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/ttp/TTPSolution.java b/src/main/java/uk/ac/york/safire/ttp/TTPSolution.java old mode 100644 new mode 100755 diff --git a/src/main/java/uk/ac/york/safire/ttp/Utils.java b/src/main/java/uk/ac/york/safire/ttp/Utils.java old mode 100644 new mode 100755 diff --git a/src/main/scala/ec/util/MersenneTwister.java b/src/main/scala/ec/util/MersenneTwister.java old mode 100644 new mode 100755 index bb853bdd4b95990590b701c9a1d8c8b6840a338e..653c90d3dc74ef65541f1f1d167245867a2e5b57 --- a/src/main/scala/ec/util/MersenneTwister.java +++ b/src/main/scala/ec/util/MersenneTwister.java @@ -1,6 +1,11 @@ package ec.util; -import java.io.*; +import java.io.DataInputStream; +import java.io.DataOutputStream; +import java.io.IOException; +import java.io.ObjectInputStream; +import java.io.ObjectOutputStream; +import java.io.Serializable; /** * <h3>MersenneTwister and MersenneTwisterFast</h3> diff --git a/src/main/scala/uk/ac/york/amalthea/XMLReader.scala b/src/main/scala/uk/ac/york/amalthea/XMLReader.scala old mode 100644 new mode 100755 diff --git a/src/main/scala/uk/ac/york/safire/optimisation/ExhaustiveSearchLocalOptimisationEngine.scala b/src/main/scala/uk/ac/york/safire/optimisation/ExhaustiveSearchLocalOptimisationEngine.scala old mode 100644 new mode 100755 diff --git a/src/main/scala/uk/ac/york/safire/optimisation/HttpRemoteObjectiveFunctionClient.scala b/src/main/scala/uk/ac/york/safire/optimisation/HttpRemoteObjectiveFunctionClient.scala old mode 100644 new mode 100755 diff --git a/src/main/scala/uk/ac/york/safire/optimisation/HttpRemoteObjectiveFunctionServer.scala b/src/main/scala/uk/ac/york/safire/optimisation/HttpRemoteObjectiveFunctionServer.scala old mode 100644 new mode 100755 diff --git a/src/main/scala/uk/ac/york/safire/optimisation/HttpRemoteOptimisationEngineClient.scala b/src/main/scala/uk/ac/york/safire/optimisation/HttpRemoteOptimisationEngineClient.scala old mode 100644 new mode 100755 index 6788ef8575622a1edd0f943dd1d2b7d52ff3eb02..6004ba4d37b4de8011cb4a2bfcf34b9abbcd85d5 --- a/src/main/scala/uk/ac/york/safire/optimisation/HttpRemoteOptimisationEngineClient.scala +++ b/src/main/scala/uk/ac/york/safire/optimisation/HttpRemoteOptimisationEngineClient.scala @@ -39,9 +39,10 @@ object HttpRemoteOptimisationEngineClient { val urgency = 0.9 val quality = 0.1 - val objectiveFunction = MockObjectiveFunction.largerPlant( +// val objectiveFunction = MockObjectiveFunction.largerPlant( + val objectiveFunction = MockObjectiveFunction.smallPlant( energyCostWeighting = HttpRemoteOptimisationEngineClient.DefaultEnergyCostWeighting, - makespanCostWeighting = HttpRemoteOptimisationEngineClient.DefaultMakespanCostWeighting + makespanCostWeighting = HttpRemoteOptimisationEngineClient.DefaultMakespanCostWeighting, ) val optimisationEngine = createHttpOptimisationEngineClient(args) @@ -51,11 +52,15 @@ object HttpRemoteOptimisationEngineClient { ///////////////////////////////// def main(args: Array[String]): Unit = { - val sizes = (500 to 1000 by 100).toList +/* val sizes = (500 to 1000 by 100).toList for (populationSize <- sizes; i <- 0 until 10) { run(populationSize, args) println("******************************************************************") } + */ + val populationSize=10 + run(populationSize, args) + } } diff --git a/src/main/scala/uk/ac/york/safire/optimisation/HttpRemoteOptimisationEngineServer.scala b/src/main/scala/uk/ac/york/safire/optimisation/HttpRemoteOptimisationEngineServer.scala old mode 100644 new mode 100755 index 5c376604b81cca747de18ea98c8d11e67217ea1e..3ba1379c4adaa675084ff14848585bacc0a711d1 --- a/src/main/scala/uk/ac/york/safire/optimisation/HttpRemoteOptimisationEngineServer.scala +++ b/src/main/scala/uk/ac/york/safire/optimisation/HttpRemoteOptimisationEngineServer.scala @@ -160,6 +160,7 @@ object HttpRemoteOptimisationEngineServer extends HttpApp import scala.concurrent.duration._ val TimeoutDuration = 2.hours + ///////////////////////////////// val myExceptionHandler = ExceptionHandler { @@ -172,6 +173,8 @@ object HttpRemoteOptimisationEngineServer extends HttpApp complete(HttpResponse( InternalServerError, entity = JsString(s"Server Exception: ${t.getMessage()} ${st}").toString + + )) } } @@ -278,9 +281,10 @@ object HttpRemoteOptimisationEngineServer extends HttpApp // val objectiveFunction = if (UseRCPS) // MockObjectiveFunctionRCPS() // else - val objectiveFunction = MockObjectiveFunction.largerPlant( +// val objectiveFunction = MockObjectiveFunction.largerPlant( + val objectiveFunction = MockObjectiveFunction.smallPlant( energyCostWeighting = HttpRemoteOptimisationEngineClient.DefaultEnergyCostWeighting, - makespanCostWeighting = HttpRemoteOptimisationEngineClient.DefaultMakespanCostWeighting + makespanCostWeighting = HttpRemoteOptimisationEngineClient.DefaultMakespanCostWeighting, ) // rng) // FIXME: just absolutely ghastly... @@ -303,6 +307,8 @@ object HttpRemoteOptimisationEngineServer extends HttpApp s"Client request has invalid configuration type. Expected ${ct}\n, found ${args.getConfigurations().head.getConfigurationType()}" ) } else { +// Thread.sleep(100000) + withRequestTimeout(TimeoutDuration) { // jeep.lang.Diag.println() diff --git a/src/main/scala/uk/ac/york/safire/optimisation/JMetalLocalOptimisationEngine.scala b/src/main/scala/uk/ac/york/safire/optimisation/JMetalLocalOptimisationEngine.scala old mode 100644 new mode 100755 diff --git a/src/main/scala/uk/ac/york/safire/optimisation/MockObjectiveFunction.scala b/src/main/scala/uk/ac/york/safire/optimisation/MockObjectiveFunction.scala old mode 100644 new mode 100755 index a57dbf5d82cb8e907103e85bf811effc38a10751..c0ac03375013c1eb4091cbea105e00cb85e63355 --- a/src/main/scala/uk/ac/york/safire/optimisation/MockObjectiveFunction.scala +++ b/src/main/scala/uk/ac/york/safire/optimisation/MockObjectiveFunction.scala @@ -154,7 +154,10 @@ object MockObjectiveFunction { ///////////////////////////////// - def smallPlant(energyCostWeighting: Double, makespanCostWeighting: Double, rng: java.util.Random): MockObjectiveFunction = + def smallPlant(energyCostWeighting: Double, makespanCostWeighting: Double): MockObjectiveFunction = + smallPlantImpl(energyCostWeighting, makespanCostWeighting, new java.util.Random(0xDEADBEEF)) + + def smallPlantImpl(energyCostWeighting: Double, makespanCostWeighting: Double, rng: java.util.Random): MockObjectiveFunction = new MockObjectiveFunction( energyCostWeighting, makespanCostWeighting, PlantGenerator.generatePlant( diff --git a/src/main/scala/uk/ac/york/safire/optimisation/OEClientCommon.scala b/src/main/scala/uk/ac/york/safire/optimisation/OEClientCommon.scala old mode 100644 new mode 100755 diff --git a/src/main/scala/uk/ac/york/safire/optimisation/OptimisationUtility.scala b/src/main/scala/uk/ac/york/safire/optimisation/OptimisationUtility.scala old mode 100644 new mode 100755 index 6f9b7a1501e8af9a4b409e41cff4ebe7bd9d2b69..f2b331a48b746a2ba5143f9de0803229dbc8eb45 --- a/src/main/scala/uk/ac/york/safire/optimisation/OptimisationUtility.scala +++ b/src/main/scala/uk/ac/york/safire/optimisation/OptimisationUtility.scala @@ -98,23 +98,23 @@ object OptmisationUtility { def multisetCardinalities[T](m: com.google.common.collect.Multiset[T]): List[Int] = m.toSet.toList.map { m.count(_) } - def keyObjectivesHistogram(population: java.util.List[Configuration]): - com.google.common.collect.Multiset[List[(String, Double)]] = { + def keyObjectivesHistogram(population: java.util.List[Configuration]): com.google.common.collect.Multiset[List[(String, Double)]] = { val numberVisitor = new ValueVisitor.NumberVisitor() -// val histoValues = population.map { c => c.getKeyObjectives.toList.map { case (k, v) => -// (k, numberVisitor.visit(v).doubleValue) }.toList -// }.toList.flatten.groupBy { case (name,value) => name } - val histoValues = population.map { c => - c.getKeyObjectives.map { case (k, v) => - (k, numberVisitor.visit(v).doubleValue) + // val histoValues = population.map { c => c.getKeyObjectives.toList.map { case (k, v) => + // (k, numberVisitor.visit(v).doubleValue) }.toList + // }.toList.flatten.groupBy { case (name,value) => name } + val histoValues = population.map { c => + c.getKeyObjectives.map { + case (k, v) => + (k, numberVisitor.visit(v).doubleValue) }.toList } -// .toList -// }.flatten.groupBy { case (name,value) => -// name }.map { case (name,l) => name -> l.toList.map { case (name,value) => -// numberVisitor.visit(value).doubleValue } }.toList - // + // .toList + // }.flatten.groupBy { case (name,value) => + // name }.map { case (name,l) => name -> l.toList.map { case (name,value) => + // numberVisitor.visit(value).doubleValue } }.toList + // // }.toList.flatten.groupBy { case (name,value) => name } val histo = com.google.common.collect.HashMultiset.create[List[(String, Double)]]() diff --git a/src/main/scala/uk/ac/york/safire/optimisation/RandomSearchLocalOptimisationEngine.scala b/src/main/scala/uk/ac/york/safire/optimisation/RandomSearchLocalOptimisationEngine.scala old mode 100644 new mode 100755 diff --git a/src/main/scala/uk/ac/york/safire/optimisation/ia/Factoradic.scala b/src/main/scala/uk/ac/york/safire/optimisation/ia/Factoradic.scala old mode 100644 new mode 100755 diff --git a/src/main/scala/uk/ac/york/safire/optimisation/ia/Interval.scala b/src/main/scala/uk/ac/york/safire/optimisation/ia/Interval.scala old mode 100644 new mode 100755 diff --git a/src/main/scala/uk/ac/york/safire/optimisation/ia/IntervalRelation.scala b/src/main/scala/uk/ac/york/safire/optimisation/ia/IntervalRelation.scala old mode 100644 new mode 100755 diff --git a/src/main/scala/uk/ac/york/safire/optimisation/ia/JsonSerialisation.scala b/src/main/scala/uk/ac/york/safire/optimisation/ia/JsonSerialisation.scala old mode 100644 new mode 100755 index 797f3ab99138ef58d42fc3e05266f42a0559b2f1..4228434a23894d0baccfc9b9650e1188e314e5cc --- a/src/main/scala/uk/ac/york/safire/optimisation/ia/JsonSerialisation.scala +++ b/src/main/scala/uk/ac/york/safire/optimisation/ia/JsonSerialisation.scala @@ -36,8 +36,8 @@ object IAJSonProtocol extends DefaultJsonProtocol { implicit val productFormat = jsonFormat2(Product) // implicit val taskFormat = jsonFormat7(Task.apply) // ^ this *should* work -- not sure why it doesn't - implicit val taskFormat = jsonFormat[TaskId, Map[Resource, Int], Map[TaskId, IntervalRelation], Int, Map[Resource, Set[Resource]], Map[Resource, Set[Resource]], Option[Product], Task]( - Task.apply, "id", "resourceExecutionTime", "relations", "releaseTime", "mutexMap", "antiAffinityMap", "finalProduct" + implicit val taskFormat = jsonFormat[TaskId, Map[Resource, Int], Map[TaskId, IntervalRelation], Int, Int, Int, Int, Map[Resource, Set[Resource]], Map[Resource, Set[Resource]], Option[Product], Task]( + Task.apply, "id", "resourceExecutionTime", "relations", "releaseTime", "energyCost", "montaryCost", "isFinal", "mutexMap", "antiAffinityMap", "finalProduct" ) // ^ .apply is necessary because the case class Task has a companion object } diff --git a/src/main/scala/uk/ac/york/safire/optimisation/ia/Schedule.scala b/src/main/scala/uk/ac/york/safire/optimisation/ia/Schedule.scala old mode 100644 new mode 100755 index 45b65123d291782dcd594d91fce87a952ce19550..84c50d171fd1bbf7d1f3f82c68f77cb3df6531d7 --- a/src/main/scala/uk/ac/york/safire/optimisation/ia/Schedule.scala +++ b/src/main/scala/uk/ac/york/safire/optimisation/ia/Schedule.scala @@ -15,22 +15,152 @@ case class Schedule(byResource: Map[Resource, List[(Task, Interval)]]) { require(Schedule.topologicallySorted(this)) require(Schedule.compatibleResources(this)) require(Schedule.uniqueTaskIds(this)) - require(Schedule.resourcewiseMonotoneIncreasingIntervals(this)) + // require(Schedule.resourcewiseMonotoneIncreasingIntervals(this)) ///////////////////////////////// - def makespan: Int = - if (byResource.isEmpty) 0 else byResource.values.map { _.last._2.upper }.max + def makespan: Int = { + val byResourceVaildAllocation = byResource.filter(_._1.id != "No allocation") + + if (byResourceVaildAllocation.isEmpty) + 9999999 + else { + val byResourceVaildTasks = byResourceVaildAllocation.values.flatten.filter(t => !t._1.id.name.contains("NotAvailble")) + if (byResourceVaildTasks.isEmpty) + 9999999 + else { + byResourceVaildTasks.map(t => t._2.upper).max + } + } - def idleTime(r: Resource, mutex: Set[Resource]): Int = { - def impl(r: Resource): Int = byResource.get(r) match { - case Some(l) => l.last._2.upper - case None => 0 + // if (byResource.filter( _._1.id != "No allocation").isEmpty) 9999999 else { + // byResource.filter(_._1.id != "No allocation").values.map { _.last._2.upper }.max + // } + } + + def energy: Int = + if (byResource.filter(_._1.id != "No allocation").isEmpty) 9999999 else { + byResource.filter(_._1.id != "No allocation").values.flatten.map { t => t._1.energyCost }.sum } + def montary: Int = + if (byResource.filter(_._1.id != "No allocation").isEmpty) 9999999 else { + byResource.filter(_._1.id != "No allocation").values.flatten.map { t => t._1.montaryCost }.sum + } + + // def idleTime(r: Resource, mutex: Set[Resource]): Int = { + // def impl(r: Resource): Int = byResource.get(r) match { + // case Some(l) => l.last._2.upper + // case None => 0 + // } + // + // byResource.get(r) match { + // case Some(l) => if (mutex.isEmpty) l.last._2.upper else math.max(l.last._2.upper, mutex.map { impl }.max) + // case None => if (mutex.isEmpty) 0 else math.max(0, mutex.map { r2 => impl(r2) }.max) + // } + // } + + def idleTime(r: Resource, mutex: Set[Resource], executionTime: Int): Int = { + + def impl(firstIdleTime: Int): Int = + { + + val maxTime1 = mutex.map(res => byResource.filter(_._1.id.contains(res.id)).values).flatten + // val maxTime2 = maxTime1.map { taskList => taskList.filter(task => task._1.id.name.contains(r.id)) } + val time = maxTime1.map(taskList => taskList.map(task => task._2)).flatten.toList.sortBy(_.upper); + + if (time.isEmpty) firstIdleTime + else { + if (time.head.lower - firstIdleTime >= executionTime) firstIdleTime + else { + val timePar = time.sliding(2).toList + val possibleTimeRange = timePar.filter(list => list.last.lower - list.head.upper >= executionTime).map(list => (list.head.upper, list.last.lower)) // ).filter(t => t >= firstIdleTime) + val possibleTimeRangeFilter = possibleTimeRange.filter(p => p._2 >= firstIdleTime + executionTime).map(p => p._1).sorted; + + if (possibleTimeRangeFilter.isEmpty) + math.max(time.map(_.upper).max, firstIdleTime) + else + math.max(possibleTimeRangeFilter.min, firstIdleTime) + + } + } + + } + + byResource.get(r) match { + case Some(l) => { + val vaildTasks = l.filter(t => !t._1.id.name.contains("NotAvailble")) + val firstIdle = if (vaildTasks.isEmpty) 0 else vaildTasks.last._2.upper + // val firstIdle = 0; + if (mutex.isEmpty) firstIdle else impl(firstIdle) + } + case None => if (mutex.isEmpty) 0 else impl(0) + } + } + + def idleTimeElectrolux(r: Resource, mutex: Set[Resource], taskID: String, executionTime: Int): Int = { + def impl(firstIdleTime: Int, r: Resource): Int = + { + val maxTime1 = byResource.filter(_._1.id.contains(r.id)).values + val time = maxTime1.map(taskList => taskList.map(task => task._2)).flatten.toList.sortBy(_.upper); + + if (time.isEmpty) firstIdleTime + else { + if (time.head.lower - firstIdleTime >= executionTime) firstIdleTime + else { + val timePar = time.sliding(2).toList + val possibleTimeRange = timePar.filter(list => list.last.lower - list.head.upper >= executionTime).map(list => (list.head.upper, list.last.lower)) // ).filter(t => t >= firstIdleTime) + val possibleTimeRangeFilter = possibleTimeRange.filter(p => p._2 >= firstIdleTime + executionTime).map(p => p._1).sorted; + + if (possibleTimeRangeFilter.isEmpty) + math.max(time.map(_.upper).max, firstIdleTime) + else + math.max(possibleTimeRangeFilter.min, firstIdleTime) + + } + } + + } + + byResource.get(r) match { + case Some(l) => if (mutex.isEmpty) l.last._2.upper else mutex.map { r2 => impl(l.last._2.upper, r2) }.max + case None => if (mutex.isEmpty) 0 else mutex.map { r2 => impl(0, r2) }.max + } + } + + def idleTimeOAS(r: Resource, mutex: Set[Resource], taskID: String, executionTime: Int): Int = { + def impl(firstIdleTime: Int, r: Resource): Int = + { + val maxTime1 = byResource.filter(_._1.id.contains(r.id)).values + val resourceNoIndex = r.id.filterNot(c => c == '(' || c == ')' || c.isDigit).toLowerCase() + val maxTime2 = maxTime1.map { taskList => taskList.filter(task => task._1.id.name.contains(resourceNoIndex)) } + val time = maxTime2.map(taskList => taskList.map(task => task._2)).flatten.toList.sortBy(_.upper); + + if (time.isEmpty) firstIdleTime + else { + if (time.head.lower - firstIdleTime >= executionTime) firstIdleTime + else { + val timePar = time.sliding(2).toList + val possibleTimeRange = timePar.filter(list => list.last.lower - list.head.upper >= executionTime).map(list => (list.head.upper, list.last.lower)) // ).filter(t => t >= firstIdleTime) + val possibleTimeRangeFilter = possibleTimeRange.filter(p => p._2 >= firstIdleTime + executionTime).map(p => p._1).sorted; + + if (possibleTimeRangeFilter.isEmpty) + math.max(time.map(_.upper).max, firstIdleTime) + else + math.max(possibleTimeRangeFilter.min, firstIdleTime) + + } + } + + } + + val resourceName = taskID.split(" ").last.split("_").drop(1).map(n => n.capitalize); + val mutualResources1 = for (r1 <- resourceName) yield List.empty[Resource] ++ mutex.filter(r => r.id.contains(r1)) + val mutualResources = mutualResources1.flatten + byResource.get(r) match { - case Some(l) => if (mutex.isEmpty) l.last._2.upper else math.max(l.last._2.upper, mutex.map { impl }.max) - case None => if (mutex.isEmpty) 0 else math.max(0, mutex.map { r2 => impl(r2) }.max) + case Some(l) => if (mutex.isEmpty) l.last._2.upper else mutualResources.map { r2 => impl(l.last._2.upper, r2) }.max + case None => if (mutex.isEmpty) 0 else mutualResources.map { r2 => impl(0, r2) }.max } } @@ -71,7 +201,7 @@ case class Schedule(byResource: Map[Resource, List[(Task, Interval)]]) { if (predecessorsScheduled) { val lowerByDependencies = maxCompletionTime(t.generalPredecessors) - val lowerByResource = if (!byResource.contains(r) || byResource(r).isEmpty) 0 else byResource(r).last._2.upper + val lowerByResource = if (!byResource.contains(r) || byResource(r).isEmpty) 0 else 0 //byResource(r).last._2.upper val lower = math.max(lowerByDependencies, math.max(lowerByResource, notBeforeTime)) val entries = byResource.getOrElse(r, Nil) Some(Schedule(byResource.updated(r, entries :+ (t, Interval(lower, lower + t.duration(r)))))) @@ -121,6 +251,7 @@ case class Schedule(byResource: Map[Resource, List[(Task, Interval)]]) { object Schedule { def apply(): Schedule = Schedule(Map.empty[Resource, List[(Task, Interval)]]) + def applyEle(res: Map[Resource, List[(Task, Interval)]]): Schedule = Schedule(res) def apply(r: Resource, t: Task): Schedule = Schedule(Map(r -> List((t, Interval(t.releaseTime, t.duration(r)))))) diff --git a/src/main/scala/uk/ac/york/safire/optimisation/ia/Scheduler.scala b/src/main/scala/uk/ac/york/safire/optimisation/ia/Scheduler.scala old mode 100644 new mode 100755 index d3da43e5250ed27930b4bd8b5afa9d7959c7a232..793b2ba123f11c8d0fe51fc133b15a5bcc03c2a2 --- a/src/main/scala/uk/ac/york/safire/optimisation/ia/Scheduler.scala +++ b/src/main/scala/uk/ac/york/safire/optimisation/ia/Scheduler.scala @@ -15,20 +15,245 @@ object NoSequenceDependentSetup extends SequenceDependentSetup { /////////////////////////////////// -trait Scheduler { +//trait Scheduler { +// +// def schedule(tasks: PriorityQueue[Task], resources: Set[Resource], +// sequenceDependentSetup: SequenceDependentSetup, recursing: Boolean = false, unAvailableTasks : List[Task] = List()): Option[Schedule] +// // require( Schedule.topologicallySorted(tasks.toList) ) +// // require( Schedule.uniqueTaskIds(tasks.toList) ) +//} - def schedule(tasks: PriorityQueue[Task], resources: Set[Resource], - sequenceDependentSetup: SequenceDependentSetup, recursing: Boolean = false): Option[Schedule] - // require( Schedule.topologicallySorted(tasks.toList) ) - // require( Schedule.uniqueTaskIds(tasks.toList) ) +/////////////////////////////////// + +class FIFOSchedulerOAS { + + def schedule(queue: PriorityQueue[Task], resources: Set[Resource], + sequenceDependentSetup: SequenceDependentSetup = NoSequenceDependentSetup, recursing: Boolean = false, unAvailableTasks: List[Task] = List()): Option[Schedule] = { + + // require(jeep.lang.Logic.implies(!recursing, Schedule.topologicallySorted(queue.toList))) + require(Schedule.uniqueTaskIds(queue.toList)) + + /////////////////////////////// + + // Swan: 10th July 2018: + // val tasks = queue.to[ListBuffer] + val rawTasks: ListBuffer[Task] = queue.clone().dequeueAll + + rawTasks.foreach(t => assert(t.compatibleResources.size == 1)) + + val tasks = rawTasks.filter(t => !t.compatibleResources.head.id.equals("No allocation")) + + //tasks.filter(t => t.resourceExecutionTime.) + + //jeep.lang.Diag.println(tasks.map { _.id }) + // System.exit(0) + + val immediateSuccessors = scala.collection.mutable.Map.empty[TaskId, Set[Task]] + for { + i <- 0 until tasks.length; + j <- 0 until tasks.length + if (j != i && tasks(i).isImmediateSuccessorOf(tasks(j))) + } { + + // add task i to the set of immediate successors of j + val currentSuccessors = immediateSuccessors.getOrElseUpdate(tasks(j).id, Set()) + immediateSuccessors.update(tasks(j).id, currentSuccessors + tasks(i)) + } + + //jeep.lang.Diag.println(immediateSuccessors) + + /////////////////////////////// + + var schedule = Schedule() + + unAvailableTasks.foreach(t => schedule = schedule.append(t.resourceExecutionTime.head._1, t, !recursing, t.releaseTime).get) + + val removed = scala.collection.mutable.Set.empty[TaskId] + // while(!tasks.isEmpty) { + while (removed.size < tasks.size) { + + val earliestReleaseTime = tasks.filter { t => + !removed.contains(t.id) // && schedule.generalPredecesorsScheduled(t) + }.map { t => t.releaseTime + }.min + + // Swan: 10th July 2018: + val filteredTasks = tasks.filter { t => + !removed.contains(t.id) && + schedule.generalPredecesorsScheduled(t) && + t.releaseTime <= math.max(schedule.makespan, earliestReleaseTime) + } + + //jeep.lang.Diag.println(filteredTasks.map { _.id }) + val filteredAndSortedTasks = filteredTasks.sorted { queue.ord }.reverse + //jeep.lang.Diag.println(filteredAndSortedTasks.map { _.id }) + + //for (task <- tasks if (!removed.contains(task.id))) { + // for (task <- filteredAndSortedTasks ) { + val task = filteredAndSortedTasks.head + + // jeep.lang.Diag.println("Task: " + task.id + " Resource: " + task.resourceExecutionTime.keys.head.id + " execution Time: " + task.resourceExecutionTime.values.head) + + // Swan: changed 7th June 2018 + // val timeNow = schedule.makespan + val timeNow = math.max(schedule.makespan, earliestReleaseTime) + // End -- Swan: changed 7th June 2018 + + //jeep.lang.Diag.println(s"recursing: ${recursing}, $schedule, timeNow: ${timeNow}, earliestReleaseTime: ${earliestReleaseTime}, current task: ${task.id} releaseTime: ${task.releaseTime}") + //// + //if( removed.size >= 19 ) + //System.exit(0) + + // FIXME: what should this condition be when recursing? + val predecessorsScheduled = if (recursing) true else schedule.generalPredecesorsScheduled(task) + // task.generalPredecessors.forall { parent => schedule.containsTaskId(parent) } + + // jeep.lang.Diag.println(schedule) + + if (timeNow >= task.releaseTime && predecessorsScheduled) { + val compatible = resources.intersect(task.compatibleResources) + val earliestIdleResource = compatible.minBy { r => + // calc anti-afinity for r + schedule.idleTimeOAS(r, task.antiAffinity(r) union task.mutex(r), task.id.name, task.resourceExecutionTime.values.last) // + task.duration(r) // FIXME: do we want duration here? + } + //jeep.lang.Diag.println(earliestIdleResource) + val taskList = schedule.byResource.getOrElse(earliestIdleResource, Nil) + + // val rawResourceByTask = task.id.name.split(" ").last.split("_").filter(n => n.contains("silo") || n.contains("mixer") || n.contains("tank")).map(n => n.capitalize); + + val rawResourceByTask = task.id.name.split(" ").last.split("_").drop(1).map(n => n.capitalize); + val listResourceByTask = for (r1 <- rawResourceByTask) yield List.empty[String] ++ earliestIdleResource.id.split(" ").filter(r => r.contains(r1)) + val resourcesUsedByTask = listResourceByTask.flatten + // val dependentResource = { + // if (resourcesUsedByTask.length == 2) + // resourcesUsedByTask.filter(r => !r.contains("Mixer")) + // else + // resourcesUsedByTask + // } + + if (resourcesUsedByTask.length > 0) { + val resourceNameForCheck = resourcesUsedByTask(0).filterNot(c => c == '(' || c == ')' || c.isDigit).toLowerCase() + + val dependentKeyList = schedule.byResource.keys.filter(k => k.id.contains(resourcesUsedByTask(0))).toList + val dependentTaskList = dependentKeyList.map(k => schedule.byResource.get(k).get).flatten.filter(t => t._1.id.name.contains(resourceNameForCheck) && !t._1.id.name.contains("NotAvailble")).sortBy(t => t._2.upper) + + if (!dependentTaskList.isEmpty) { + + var assumedStartedTime = math.max( + task.releaseTime, + schedule.idleTimeOAS(earliestIdleResource, task.antiAffinity(earliestIdleResource) union task.mutex(earliestIdleResource), task.id.name, task.resourceExecutionTime.values.last) + ) + + val lastTaskList = dependentTaskList.filter(t => t._2.upper <= assumedStartedTime) + + if (!lastTaskList.isEmpty) { + val lastTask = lastTaskList.last._1 + + val setupTask = sequenceDependentSetup(earliestIdleResource, lastTask, task) + //jeep.lang.Diag.println(setupTask) + if (setupTask.isDefined) { + + val task = setupTask.get + + // schedule = schedule.append( earliestIdleResource, task ) + val requireImmediatePredecessors = !recursing + var notBeforeTime = math.max( + math.max(task.releaseTime, dependentTaskList.filter(t => t._2.upper <= assumedStartedTime).last._2.upper), + schedule.idleTimeOAS(earliestIdleResource, task.antiAffinity(earliestIdleResource) union task.mutex(earliestIdleResource), task.id.name, task.resourceExecutionTime.values.last) + ) + + schedule = schedule.append(earliestIdleResource, task, requireImmediatePredecessors, notBeforeTime).get + tasks -= task + + val immediateSucc = immediateSuccessors.get(task.id).toList.flatten + if (!immediateSucc.isEmpty) { + val pendingQueue = PriorityQueue(immediateSucc: _*)(Ordering.by { (t: Task) => t.releaseTime }) + val pendingSchedule = this.schedule(pendingQueue, resources, sequenceDependentSetup) + schedule = schedule.concat(pendingSchedule.get).get + pendingQueue.foreach { t => tasks -= t } + } + } + } + + } + } + + ///////////////////////// + + val immediateSucc = immediateSuccessors.get(task.id).toList.flatten + + //jeep.lang.Diag.println(s"immediateSuccessors of ${task.id}: ${immediateSucc.map { _.id }}") + + var notBeforeTime = math.max( + task.releaseTime, + schedule.idleTimeOAS(earliestIdleResource, task.antiAffinity(earliestIdleResource) union task.mutex(earliestIdleResource), task.id.name, task.resourceExecutionTime.values.last) + ) + + if (immediateSucc.isEmpty) { + removed += task.id // tasks -= task + //jeep.lang.Diag.println(s"recursing: ${recursing}. schedule: ${schedule}. No successors for: ${task.id}") + // var notBeforeTime = math.max(task.releaseTime,schedule.idleTime(earliestIdleResource, task.antiAffinity(earliestIdleResource) union task.mutex(earliestIdleResource))) + val requireImmediatePredecessors = !recursing + //jeep.lang.Diag.println(s"recursing: ${recursing}. adding ${task.id} to schedule") + schedule.append(earliestIdleResource, task, requireImmediatePredecessors, notBeforeTime) match { + case Some(newSchedule) => schedule = newSchedule + case None => jeep.lang.Diag.println(recursing); return None // shouldn't happen + } + } else { + //jeep.lang.Diag.println(s"recursing: ${recursing}. schedule: ${schedule}. immediate successors for: ${task.id}: ${immediateSucc.map { _.id }}") + + // Swan: 10th July 2018: + // val pendingQueue = PriorityQueue(immediateSucc: _*)(Ordering.by { (t: Task) => t.releaseTime }) + val pendingQueue = PriorityQueue(immediateSucc: _*)(queue.ord) + + this.schedule(pendingQueue, resources, sequenceDependentSetup, recursing = true) match { + case None => return None + case Some(pendingSchedule) => { + // var notBeforeTime = task.releaseTime // schedule.makespan // + task.duration(earliestIdleResource) // FIXME: is this sufficient? + // var notBeforeTime = math.max(task.releaseTime,schedule.idleTime(earliestIdleResource, task.antiAffinity(earliestIdleResource) union task.mutex(earliestIdleResource))) + var succeeded = false + while (!succeeded) { + (for { + s1 <- schedule.append(earliestIdleResource, task, true, notBeforeTime); + s2 <- s1.concat(pendingSchedule.postponeBy(notBeforeTime + task.duration(earliestIdleResource))) + } yield { s2 }) match { + case Some(newSchedule) => + schedule = newSchedule; succeeded = true + case None => jeep.lang.Diag.println(notBeforeTime); notBeforeTime += 1 + } + } + } + } + + //jeep.lang.Diag.println(s"recursing: ${recursing}, tasks before: ${tasks.map { _.id }}") + + // tasks -= task + // pendingQueue.foreach { t => tasks -= t } + removed += task.id + pendingQueue.foreach { t => removed += t.id } + + //jeep.lang.Diag.println(s"recursing: ${recursing},tasks after: ${tasks.map { _.id }}") + } + } else { + if (timeNow < task.releaseTime) + println(s"Cannot consider task ${task.id} because timeNow: ${timeNow} < releaseTime: ${task.releaseTime}") + if (!predecessorsScheduled) + println(s"Cannot consider task ${task.id} because predecessors not scheduled") + } + // } + } + + // System.exit(0) + Some(schedule) + } } -/////////////////////////////////// +// End /////////////////////////////////////////////////////////////// -class FIFOScheduler extends Scheduler { +class FIFOScheduler { - override def schedule(queue: PriorityQueue[Task], resources: Set[Resource], - sequenceDependentSetup: SequenceDependentSetup = NoSequenceDependentSetup, recursing: Boolean = false): Option[Schedule] = { + def schedule(queue: PriorityQueue[Task], resources: Set[Resource], + sequenceDependentSetup: SequenceDependentSetup = NoSequenceDependentSetup, recursing: Boolean = false, unAvailableTasks: List[Task] = List()): Option[Schedule] = { // require(jeep.lang.Logic.implies(!recursing, Schedule.topologicallySorted(queue.toList))) require(Schedule.uniqueTaskIds(queue.toList)) @@ -49,7 +274,7 @@ class FIFOScheduler extends Scheduler { if (j != i && tasks(i).isImmediateSuccessorOf(tasks(j))) } { - // add task i to the set of immediate successors of j + // add task i to the set of immediate successors of j val currentSuccessors = immediateSuccessors.getOrElseUpdate(tasks(j).id, Set()) immediateSuccessors.update(tasks(j).id, currentSuccessors + tasks(i)) } @@ -59,39 +284,42 @@ class FIFOScheduler extends Scheduler { /////////////////////////////// var schedule = Schedule() + + unAvailableTasks.foreach(t => schedule = schedule.append(t.resourceExecutionTime.head._1, t, !recursing, t.releaseTime).get) + val removed = scala.collection.mutable.Set.empty[TaskId] // while(!tasks.isEmpty) { while (removed.size < tasks.size) { val earliestReleaseTime = tasks.filter { t => - !removed.contains(t.id) // && schedule.generalPredecesorsScheduled(t) - }.map { t => t.releaseTime + !removed.contains(t.id) // && schedule.generalPredecesorsScheduled(t) + }.map { t => t.releaseTime }.min - // Swan: 10th July 2018: + // Swan: 10th July 2018: val filteredTasks = tasks.filter { t => - !removed.contains(t.id) && - schedule.generalPredecesorsScheduled(t) && + !removed.contains(t.id) && + schedule.generalPredecesorsScheduled(t) && t.releaseTime <= math.max(schedule.makespan, earliestReleaseTime) } - //jeep.lang.Diag.println( filteredTasks.map { _.id } ) + //jeep.lang.Diag.println( filteredTasks.map { _.id } ) val filteredAndSortedTasks = filteredTasks.sorted { queue.ord }.reverse - // jeep.lang.Diag.println( filteredAndSortedTasks.map { _.id } ) + // jeep.lang.Diag.println( filteredAndSortedTasks.map { _.id } ) //for (task <- tasks if (!removed.contains(task.id))) { // for (task <- filteredAndSortedTasks ) { val task = filteredAndSortedTasks.head - // jeep.lang.Diag.println( "task: " + task.id ) + // jeep.lang.Diag.println("task: " + task.id) // Swan: changed 7th June 2018 - // val timeNow = schedule.makespan + // val timeNow = schedule.makespan val timeNow = math.max(schedule.makespan, earliestReleaseTime) // End -- Swan: changed 7th June 2018 //jeep.lang.Diag.println(s"recursing: ${recursing}, $schedule, timeNow: ${timeNow}, earliestReleaseTime: ${earliestReleaseTime}, current task: ${task.id} releaseTime: ${task.releaseTime}") - //// + //// //if( removed.size >= 19 ) //System.exit(0) @@ -99,20 +327,21 @@ class FIFOScheduler extends Scheduler { val predecessorsScheduled = if (recursing) true else schedule.generalPredecesorsScheduled(task) // task.generalPredecessors.forall { parent => schedule.containsTaskId(parent) } - //jeep.lang.Diag.println(schedule) + // jeep.lang.Diag.println(schedule) if (timeNow >= task.releaseTime && predecessorsScheduled) { val compatible = resources.intersect(task.compatibleResources) val earliestIdleResource = compatible.minBy { r => - // calc anti-afinity for r - schedule.idleTime(r, task.antiAffinity(r) union task.mutex(r)) // + task.duration(r) // FIXME: do we want duration here? + // calc anti-afinity for r + schedule.idleTime(r, task.antiAffinity(r) union task.mutex(r), task.resourceExecutionTime.values.last) // + task.duration(r) // FIXME: do we want duration here? } //jeep.lang.Diag.println(earliestIdleResource) val taskList = schedule.byResource.getOrElse(earliestIdleResource, Nil) if (!taskList.isEmpty) { + val lastTask = taskList.last._1 val setupTask = sequenceDependentSetup(earliestIdleResource, lastTask, task) - // jeep.lang.Diag.println( setupTask ) + // jeep.lang.Diag.println( setupTask ) if (setupTask.isDefined) { val task = setupTask.get @@ -121,7 +350,7 @@ class FIFOScheduler extends Scheduler { val requireImmediatePredecessors = !recursing var notBeforeTime = math.max( task.releaseTime, - schedule.idleTime(earliestIdleResource, task.antiAffinity(earliestIdleResource) union task.mutex(earliestIdleResource)) + schedule.idleTime(earliestIdleResource, task.antiAffinity(earliestIdleResource) union task.mutex(earliestIdleResource), task.resourceExecutionTime.values.last) ) schedule = schedule.append(earliestIdleResource, task, requireImmediatePredecessors, notBeforeTime).get @@ -145,15 +374,15 @@ class FIFOScheduler extends Scheduler { var notBeforeTime = math.max( task.releaseTime, - schedule.idleTime(earliestIdleResource, task.antiAffinity(earliestIdleResource) union task.mutex(earliestIdleResource)) + schedule.idleTime(earliestIdleResource, task.antiAffinity(earliestIdleResource) union task.mutex(earliestIdleResource), task.resourceExecutionTime.values.last) ) if (immediateSucc.isEmpty) { removed += task.id // tasks -= task // jeep.lang.Diag.println(s"recursing: ${recursing}. schedule: ${schedule}. No successors for: ${task.id}") - // var notBeforeTime = math.max(task.releaseTime,schedule.idleTime(earliestIdleResource, task.antiAffinity(earliestIdleResource) union task.mutex(earliestIdleResource))) + // var notBeforeTime = math.max(task.releaseTime,schedule.idleTime(earliestIdleResource, task.antiAffinity(earliestIdleResource) union task.mutex(earliestIdleResource))) val requireImmediatePredecessors = !recursing - // jeep.lang.Diag.println(s"recursing: ${recursing}. adding ${task.id} to schedule") + // jeep.lang.Diag.println(s"recursing: ${recursing}. adding ${task.id} to schedule") schedule.append(earliestIdleResource, task, requireImmediatePredecessors, notBeforeTime) match { case Some(newSchedule) => schedule = newSchedule case None => jeep.lang.Diag.println(recursing); return None // shouldn't happen @@ -169,7 +398,7 @@ class FIFOScheduler extends Scheduler { case None => return None case Some(pendingSchedule) => { // var notBeforeTime = task.releaseTime // schedule.makespan // + task.duration(earliestIdleResource) // FIXME: is this sufficient? - // var notBeforeTime = math.max(task.releaseTime,schedule.idleTime(earliestIdleResource, task.antiAffinity(earliestIdleResource) union task.mutex(earliestIdleResource))) + // var notBeforeTime = math.max(task.releaseTime,schedule.idleTime(earliestIdleResource, task.antiAffinity(earliestIdleResource) union task.mutex(earliestIdleResource))) var succeeded = false while (!succeeded) { (for { @@ -207,4 +436,157 @@ class FIFOScheduler extends Scheduler { } } -// End /////////////////////////////////////////////////////////////// +class FIFOSchedulerElectrolux { + + def schedule(queue: PriorityQueue[Task], resources: Set[Resource], + sequenceDependentSetup: SequenceDependentSetup = NoSequenceDependentSetup, recursing: Boolean = false, unAvailableTasks: List[Task] = List()): Option[Schedule] = { + + require(Schedule.uniqueTaskIds(queue.toList)) + + val rawTasks: ListBuffer[Task] = queue.clone().dequeueAll + rawTasks.foreach(t => assert(t.compatibleResources.size == 1)) + val tasks = rawTasks.filter(t => !t.compatibleResources.head.id.equals("No allocation")) + + val immediateSuccessors = scala.collection.mutable.Map.empty[TaskId, Set[Task]] + for { + i <- 0 until tasks.length; + j <- 0 until tasks.length + if (j != i && tasks(i).isImmediateSuccessorOf(tasks(j))) + } { + + // add task i to the set of immediate successors of j + val currentSuccessors = immediateSuccessors.getOrElseUpdate(tasks(j).id, Set()) + immediateSuccessors.update(tasks(j).id, currentSuccessors + tasks(i)) + } + + var schedule = Schedule() + + unAvailableTasks.foreach(t => schedule = schedule.append(t.resourceExecutionTime.head._1, t, !recursing, t.releaseTime).get) + + val removed = scala.collection.mutable.Set.empty[TaskId] + while (removed.size < tasks.size) { + + val earliestReleaseTime = tasks.filter { t => + !removed.contains(t.id) // && schedule.generalPredecesorsScheduled(t) + }.map { t => t.releaseTime + }.min + + val filteredTasks = tasks.filter { t => + !removed.contains(t.id) && + schedule.generalPredecesorsScheduled(t) && + t.releaseTime <= math.max(schedule.makespan, earliestReleaseTime) + } + + val filteredAndSortedTasks = filteredTasks.sorted { queue.ord }.reverse + val task = filteredAndSortedTasks.head + + // jeep.lang.Diag.println("Task: " + task.id + " Resource: " + task.resourceExecutionTime.keys.head.id + " execution Time: " + task.resourceExecutionTime.values.head) + + val timeNow = math.max(schedule.makespan, earliestReleaseTime) + val predecessorsScheduled = if (recursing) true else schedule.generalPredecesorsScheduled(task) + + // jeep.lang.Diag.println(schedule) + + if (timeNow >= task.releaseTime && predecessorsScheduled) { + val compatible = resources.intersect(task.compatibleResources) + val earliestIdleResource = compatible.minBy { r => + schedule.idleTimeElectrolux(r, task.antiAffinity(r) union task.mutex(r), task.id.name, task.resourceExecutionTime.values.last) + } + + val resourcesUsedByTask = task.resourceExecutionTime.head._1.id.split(" ") + if (resourcesUsedByTask.length > 0) { + + val dependentKeyList = schedule.byResource.keys.filter(k => k.id.contains(resourcesUsedByTask(0))).toList + val dependentTaskList = dependentKeyList.map(k => schedule.byResource.get(k).get).flatten.filter(t => !t._1.id.name.contains("NotAvailble")).sortBy(t => t._2.upper) + + if (!dependentTaskList.isEmpty) { + + var assumedStartedTime = math.max( + task.releaseTime, + schedule.idleTimeElectrolux(earliestIdleResource, task.antiAffinity(earliestIdleResource) union task.mutex(earliestIdleResource), task.id.name, task.resourceExecutionTime.values.last) + ) + + val lastTaskList = dependentTaskList.filter(t => t._2.upper <= assumedStartedTime) + + if (!lastTaskList.isEmpty) { + val lastTask = lastTaskList.last._1 + + val setupTask = sequenceDependentSetup(earliestIdleResource, lastTask, task) + //jeep.lang.Diag.println(setupTask) + if (setupTask.isDefined) { + + val task = setupTask.get + + // schedule = schedule.append( earliestIdleResource, task ) + val requireImmediatePredecessors = !recursing + var notBeforeTime = math.max( + math.max(task.releaseTime, dependentTaskList.filter(t => t._2.upper <= assumedStartedTime).last._2.upper), + schedule.idleTimeOAS(earliestIdleResource, task.antiAffinity(earliestIdleResource) union task.mutex(earliestIdleResource), task.id.name, task.resourceExecutionTime.values.last) + ) + + schedule = schedule.append(earliestIdleResource, task, requireImmediatePredecessors, notBeforeTime).get + tasks -= task + + val immediateSucc = immediateSuccessors.get(task.id).toList.flatten + if (!immediateSucc.isEmpty) { + val pendingQueue = PriorityQueue(immediateSucc: _*)(Ordering.by { (t: Task) => t.releaseTime }) + val pendingSchedule = this.schedule(pendingQueue, resources, sequenceDependentSetup, false, List()) + schedule = schedule.concat(pendingSchedule.get).get + pendingQueue.foreach { t => tasks -= t } + } + } + } + + } + } + + val immediateSucc = immediateSuccessors.get(task.id).toList.flatten + + //jeep.lang.Diag.println(s"immediateSuccessors of ${task.id}: ${immediateSucc.map { _.id }}") + + var notBeforeTime = math.max( + task.releaseTime, + schedule.idleTimeElectrolux(earliestIdleResource, task.antiAffinity(earliestIdleResource) union task.mutex(earliestIdleResource), task.id.name, task.resourceExecutionTime.values.last) + ) + + if (immediateSucc.isEmpty) { + removed += task.id + val requireImmediatePredecessors = !recursing + + schedule.append(earliestIdleResource, task, requireImmediatePredecessors, notBeforeTime) match { + case Some(newSchedule) => schedule = newSchedule + case None => jeep.lang.Diag.println(recursing); return None // shouldn't happen + } + } else { + val pendingQueue = PriorityQueue(immediateSucc: _*)(queue.ord) + + this.schedule(pendingQueue, resources, sequenceDependentSetup, recursing = true, List()) match { + case None => return None + case Some(pendingSchedule) => { + var succeeded = false + while (!succeeded) { + (for { + s1 <- schedule.append(earliestIdleResource, task, true, notBeforeTime); + s2 <- s1.concat(pendingSchedule.postponeBy(notBeforeTime + task.duration(earliestIdleResource))) + } yield { s2 }) match { + case Some(newSchedule) => + schedule = newSchedule; succeeded = true + case None => jeep.lang.Diag.println(notBeforeTime); notBeforeTime += 1 + } + } + } + } + + removed += task.id + pendingQueue.foreach { t => removed += t.id } + } + } else { + if (timeNow < task.releaseTime) + println(s"Cannot consider task ${task.id} because timeNow: ${timeNow} < releaseTime: ${task.releaseTime}") + if (!predecessorsScheduled) + println(s"Cannot consider task ${task.id} because predecessors not scheduled") + } + } + Some(schedule) + } +} \ No newline at end of file diff --git a/src/main/scala/uk/ac/york/safire/optimisation/ia/Task.scala b/src/main/scala/uk/ac/york/safire/optimisation/ia/Task.scala old mode 100644 new mode 100755 index ea16d37eba57cbfbc1f04d91a68ca2410dce0b54..8640537f3b6188eb9e69235e9402cf6c02cd71af --- a/src/main/scala/uk/ac/york/safire/optimisation/ia/Task.scala +++ b/src/main/scala/uk/ac/york/safire/optimisation/ia/Task.scala @@ -13,8 +13,11 @@ case class Task( id: TaskId, resourceExecutionTime: Map[Resource, Int], relations: Map[TaskId, IntervalRelation], - // parents: Set[TaskId], + // parents: Set[TaskId], releaseTime: Int, + energyCost: Int, + montaryCost: Int, + isFinal: Int, // mutex: Resource => Set[Resource] = r => Set(), mutexMap: Map[Resource, Set[Resource]] = Map.empty, // antiAffinity: Resource => Set[Resource] = r => Set(), @@ -27,7 +30,7 @@ case class Task( ///////////////////////////////// def mutex(r: Resource): Set[Resource] = { - // jeep.lang.Diag.println( s"mutex($id,$r): ${mutexMap.getOrElse(r, Set())}" ) + // jeep.lang.Diag.println( s"mutex($id,$r): ${mutexMap.getOrElse(r, Set())}" ) mutexMap.getOrElse(r, Set()) } @@ -35,14 +38,14 @@ case class Task( ///////////////////////////////// - // lazy + // lazy val immediatePrecessors: Set[TaskId] = relations.filter { case (taskId, ir) => ir == IntervalRelation.PreceededImmediatelyBy }.map { _._1 }.toSet - // lazy + // lazy val generalPredecessors: Set[TaskId] = relations.filter { case (taskId, ir) => @@ -51,7 +54,7 @@ case class Task( // def availableResources(r: Resource): Set[Resource] = { // require( isCompatibleWithResource( r ) ) - // compatibleResources.diff( mutex( r ) ) + // compatibleResources.diff( mutex( r ) ) // } def isImmediateSuccessorOf(other: Task): Boolean = @@ -68,6 +71,10 @@ case class Task( resourceExecutionTime(r) } + def getResource: Resource = { + resourceExecutionTime.head._1 + } + def notBefore(time: Int): Task = copy(releaseTime = math.max(releaseTime, time)) @@ -83,15 +90,15 @@ object Task { def single(id: TaskId, resourceExecutionTime: Map[Resource, Int], releaseTime: Int, mutex: Map[Resource, Set[Resource]] = Map()): Task = - Task(id, resourceExecutionTime, Map(), releaseTime, mutex) + Task(id, resourceExecutionTime, Map(), releaseTime, 0, 0, 0, mutex) def sequenceDependentFromJavaHelper( id: TaskId, - resourceExecutionTime: java.util.Map[Resource, Integer] + resourceExecutionTime: java.util.Map[Resource, Integer], energyCost: Int, montaryCost: Int ): Task = { import scala.collection.JavaConversions._ val ret: Map[Resource, Int] = resourceExecutionTime.toMap.map { case (k, v) => (k, v.toInt) } - Task(id, ret, Map(), releaseTime = 0) + Task(id, ret, Map(), releaseTime = 0, energyCost, montaryCost, 0) } } diff --git a/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/ElectroluxObjectiveFunction.scala b/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/ElectroluxObjectiveFunction.scala new file mode 100644 index 0000000000000000000000000000000000000000..536f7f022c182136dbd63d0b57e4be6eaa66b700 --- /dev/null +++ b/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/ElectroluxObjectiveFunction.scala @@ -0,0 +1,529 @@ +package uk.ac.york.safire.optimisation.mitm.atb + +import uk.ac.york.safire.metrics._ + +import uk.ac.york.safire.optimisation._ + +import uk.ac.york.safire.optimisation.ia._ +import scala.collection.mutable.PriorityQueue + +import uk.ac.york.safire.metrics.ValueVisitor + +import uk.ac.york.safire.optimisation.ObjectiveFunction +import uk.ac.york.safire.optimisation.ObjectiveFunctionResult + +import java.util.concurrent._ + +import uk.ac.york.safire.optimisation.ComeauBijectivePermutationHash + +/////////////////////////////////// + +class ElectroluxObjectiveFunction(sequenceDependentTasks: java.util.List[SequenceDependentTaskInfo], commodities: java.util.Set[String]) extends ObjectiveFunction.LocalObjectiveFunction { + + import uk.ac.york.safire.optimisation.ObjectiveFunction.Result + + ///////////////////////////////// + + override def predictKeyObjectives(originalConfig: Configuration, proposedControlMetrics: java.util.Map[String, Value]): Result = + predictKeyObjectivesImpl(originalConfig, proposedControlMetrics) + + ///////////////////////////////// + + private def predictKeyObjectivesImpl(originalConfig: Configuration, proposedControlMetrics: java.util.Map[String, Value]): Result = { + + import scala.collection.JavaConversions._ + + val config = Configuration.update(originalConfig, proposedControlMetrics, originalConfig.getKeyObjectives) + val (recipes, resources) = IAObjectiveFunction.reverseEngineerRecipesFromConfig(config) + + ElectroluxObjectiveFunction.makeTasks(recipes, resources, config) match { + case m @ Left(errorString) => new Result(config.getKeyObjectives, errorString) + case Right(tasks) => { + val scheduler = new FIFOSchedulerElectrolux() + + def endUserPriority(t: Task): Int = + IAObjectiveFunction.priorityElectrolux(ElectroluxObjectiveFunction.parentTask(t.id).name, config) + + val taskQueue: PriorityQueue[Task] = PriorityQueue(tasks: _*)(Ordering.by { endUserPriority }) + + val sequenceDependentSetup = SequenceDependentTaskInfo.makeSequenceDependantSetupElectrolux(sequenceDependentTasks, config) + + // val realResources = resources.map { r => + // if (r.id.equals("No allocation")) + // r.id + // else { + // r.id.split(" ").dropRight(1).mkString(" ") + // } + // }.distinct.map(r => Resource(r)).toSet + + val unAvailableResources = config.getObservableMetrics.filter(c => c._1.contains(" unAvailabileTime ")).map(c => (c._1.split(" unAvailabileTime ").head, c._1.split(" unAvailabileTime ").last.split("_").toList)) + + val unAvailableTasks = unAvailableResources.map { + case (key, value) => + val resource = Resource(key) + + val unAvailableTaskOneLine = value.map { value => + val startTime = value.split(",").head.toInt + val endTime = value.split(",").last.toInt + val duration = endTime - startTime + + val taskId = key + " NotAvailble from " + startTime + " to " + endTime + "_" + key.toLowerCase().filter(c => c != '(' && c != ')' && !c.isDigit) + + Task.apply( + TaskId(taskId), + Map(resource -> duration), + Map(), + releaseTime = startTime, 0, 0, 0, Map()) + } + unAvailableTaskOneLine + } + + val unAvailableTaskList = unAvailableTasks.toList.flatten + + scheduler.schedule(taskQueue, resources.toSet, sequenceDependentSetup, false, unAvailableTaskList) match { + case None => new Result(config.getKeyObjectives, "Scheduler cannot find a valid schedule") + case Some(schedule) => + val newKeyObjectives = doUpdatedKeyObjectives(schedule, config) + + // val resources = schedule.byResource.keys.map(r => r.id.split(" ")).flatten.toList.distinct + // val taskByResource = resources.map { r => + // val nameLower = r.filter(c => c != '(' && c != ')' && !c.isDigit).toLowerCase() + // + // val taskList = schedule.byResource.filter(m => m._1.id.contains(r)).map(m => m._2.filter(t => t._1.id.name.contains(nameLower))).flatten.toList.sortBy(s => s._2.lower) + // + // r -> taskList + // } + // taskByResource.sortBy(f => f._1).foreach { f => + // println("Resource: " + f._1) + // + // f._2.foreach { t => + // println("Task: " + t._1.id.name + " Time: " + t._2.lower + " -> " + t._2.upper) + // } + // println() + // } + + val makespan = new ValueVisitor.NumberVisitor().visit(newKeyObjectives.get("makespan").get).intValue(); + + val reportStr = "Status: Succeeded.\n" + + PreemptionIAObjectiveFunction.toReportStringELE(schedule, newKeyObjectives, config) + doReportStringSuffixELE(makespan, newKeyObjectives) + + new Result(newKeyObjectives, reportStr) + } + } + } + } + + override def evaluate(args: ObjectiveFunctionArguments): Callable[ObjectiveFunctionResult] = + new Callable[ObjectiveFunctionResult]() { + override def call(): ObjectiveFunctionResult = { + + val result = predictKeyObjectivesImpl(args.getConfiguration, args.getProposedControlMetrics) + // println("\n\n") + // jeep.lang.Diag.println("statusString: " + result.objectiveFunctionStatusReport) + // println("\n\n") + val newConfig = IAObjectiveFunction.addOptimisationStatusToConfiguration( + result.objectiveFunctionStatusReport, + Configuration.update(args.getConfiguration, args.getProposedControlMetrics, result.keyObjectiveMetrics)) + org.apache.commons.math3.util.Pair.create(newConfig, objectiveValues(result)) + new ObjectiveFunctionResult(newConfig, objectiveValues(result)) + } + } + + override def numObjectives: Int = 3 + commodities.size + + override def objectiveValues(result: Result): java.util.List[java.lang.Double] = { + + import scala.collection.JavaConversions._ + + val value = result.keyObjectiveMetrics.get("makespan") + val value1 = result.keyObjectiveMetrics.get("energy") + val value2 = result.keyObjectiveMetrics.get("montary") + val value3 = result.keyObjectiveMetrics.get("urgency") + val value4 = result.keyObjectiveMetrics.get("quality") + + val visitor = new ValueVisitor.NumberVisitor() + val makespan: java.lang.Double = if (value != null) IAObjectiveFunction.doubleValue(value) else -1 + val energy: java.lang.Double = if (value1 != null) IAObjectiveFunction.doubleValue(value1) else -1 + val montary: java.lang.Double = if (value2 != null) IAObjectiveFunction.doubleValue(value2) else -1 + val urgency: java.lang.Double = if (value3 != null) IAObjectiveFunction.doubleValue(value3) else -1 + val quality: java.lang.Double = if (value4 != null) IAObjectiveFunction.doubleValue(value4) else -1 + + val discrepancyList = commodities.toList.map { recipeName => + val key = recipeName + " amount discrepancy score" + val value = result.keyObjectiveMetrics.get(key) + if (value != null) IAObjectiveFunction.doubleValue(value).asInstanceOf[java.lang.Double] else new java.lang.Double(-1) + } + + val objectives = List(makespan) ++ List(energy) ++ List(montary) ++ List(urgency) ++ List(quality) ++ discrepancyList + objectives.filter(o => o >= 0) + } + + protected def doUpdatedKeyObjectives(schedule: Schedule, config: Configuration): Map[String, Value] = { + + import scala.collection.JavaConversions._ + + val amountsRequired: Map[String, Int] = Map() ++ commodities.map { recipeName => + val value = config.getObservableMetrics().get(recipeName + " amount required") + recipeName -> IAObjectiveFunction.intValue(value) + } + + val amountsProduced: Map[String, Int] = Map() ++ config.getObservableMetrics().map { + case (key, value) => + if (key.contains("amount produced")) { + val tokens = key.split(" ") + Some(key -> IAObjectiveFunction.intValue(value)) + } else + None + }.toList.flatten + + val recipeAmountsProducedTemp = (for ((resource, tasks) <- schedule.byResource if resource.id != "No allocation") yield { + val xx = for (task <- tasks if task._1.isFinal == 1) yield { + val recipeInfoName = task._1.id.name.split(" ").dropRight(1).mkString(" ") + val key = amountsProduced.keys.filter(k => k.contains(recipeInfoName)) + if (key.size != 1) { + println(); + } + val value = amountsProduced.get(key.head) + + if (!value.isDefined) { + // jeep.lang.Diag.println("WARNING: Amount produced not found for: " + recipeInfoName) + recipeInfoName -> 0 + } else { + if (task._1.isFinal == 1) + recipeInfoName -> value.get + else + recipeInfoName -> 0 + } + } + xx.toList + }).toList + + val recipeAmountsProducedTemp2 = (recipeAmountsProducedTemp.flatten).groupBy { _._1.dropRight(1).trim } + + val recipeAmountsProducedTemp3 = recipeAmountsProducedTemp2.filter(p => !p._1.contains("DependentSetUp")) + + val recipeAmountsProduced = recipeAmountsProducedTemp3.map { + case (recipeInfoName, ammounts) => + // recipeInfoName.dropRight(1).trim -> ammounts.map { _._2 }.sum + recipeInfoName -> ammounts.map { _._2 }.sum + } + + val InsufficientProductionWeightingFactor = 100 + + val surplusList = amountsRequired.map { + case (recipeName, requiredQuantity) => + val produced = recipeAmountsProduced.get(recipeName).getOrElse(0) + val discrepancy = if (produced < requiredQuantity) + 999999999//(InsufficientProductionWeightingFactor * (requiredQuantity - produced)) + else + produced - requiredQuantity + + recipeName + " amount discrepancy score" -> Value.realValue(discrepancy, ValueType.realType(Double.MinValue, Double.MaxValue)) + } + + val energy = Value.realValue(schedule.energy, ValueType.realType(Double.MinValue, Double.MaxValue).asInstanceOf[ValueType.Real]) + val montary = Value.realValue(schedule.montary, ValueType.realType(Double.MinValue, Double.MaxValue).asInstanceOf[ValueType.Real]) + + val finalTasks = schedule.byResource.map(taskByResource => taskByResource._2).toList.flatten.filter(task => task._1.isFinal == 1).sortWith((t1, t2) => t1._1.id.name < t2._1.id.name) + val finalTasksSorted = finalTasks.sortBy(t => (t._2.upper, t._2.lower)) + + // println("Final Task Size: " + finalTasks.size) + // finalTasksSorted.foreach(t => println(t._1.id + " resource: " + t._1.resourceExecutionTime.head._1.id + " start: " + t._2.lower + " end: " + t._2.upper)) + + val productUrgency = config.getObservableMetrics.filter(c => c._1.contains("urgency")).keys.toList.sortBy(c => c.split(" ").last.toInt); + val productName = productUrgency.map(c => c.split(" ").dropRight(2).mkString(" ")) // c.split(" ")(0) + " " + c.split(" ")(1) + + // val enoughTasks = finalTasksSorted.map{c => + // val productName = c._1.id.name.split(" ")(0) + " " + c._1.id.name.split(" ")(1) + " " + c._1.id.name.split(" ")(2) + // + // val amountProducedByproductName = amountsProduced.get(productName); + // + // + // } + import util.control.Breaks._ + + val finalTaskByProduct = productName.map { n => + val taskByProduct = finalTasksSorted.filter(t => t._1.id.name.contains(n)).sortBy(t => (t._2.upper, t._2.lower)) + val amountByTask = taskByProduct.map(t => amountsProduced.get(t._1.id.name.split(" ").dropRight(1).mkString(" ") + " amount produced").get) + val productAmountToProduct = amountsRequired.get(n).get; + + def doCut(taskByProduct: List[(Task, Interval)], amountByTask: List[Int]): (List[(Task, Interval)], List[Int]) = { + if (amountByTask.sum > productAmountToProduct) { + val amountByTaskCopy = amountByTask.dropRight(1) + + if (amountByTaskCopy.sum < productAmountToProduct) { + (taskByProduct, amountByTask) + } else { + doCut(taskByProduct.dropRight(1), amountByTaskCopy) + } + } else { + (taskByProduct, amountByTask) + } + } + + val taskWithCut = doCut(taskByProduct, amountByTask)._1 + val amountWithCut = doCut(taskByProduct, amountByTask)._2 + + // if (taskWithCut == null || taskWithCut.size == 0) { + // println("111111") + // + // val keys = config.getControlledMetrics.filter(k => k._1.contains(n) && k._1.contains("allocation")) + // + // + // println("111111") + // } + + (n, if (taskWithCut == null || taskWithCut.size == 0) Int.MaxValue else taskWithCut.last._2.upper) + }.sortBy(t => (t._2, t._1)).map(t => t._1) + + val urgencyVoliate = finalTaskByProduct.map(p => productName(finalTaskByProduct.indexOf(p)).equals(p)).filter(b => !b) + val numberOfVoliations = Value.realValue(urgencyVoliate.size, ValueType.realType(Double.MinValue, Double.MaxValue).asInstanceOf[ValueType.Real]) + + // println(); + // val tankTasks = schedule.byResource.map(taskByResource => taskByResource._2).toList.flatten.filter(task => task._1.id.name.contains("tank") && !task._1.id.name.contains("NotAvailble")).sortWith((t1, t2) => t1._1.id.name < t2._1.id.name) + // println("Tank Task Size: " + tankTasks.size) + // tankTasks.foreach(t => println(t._1.id + " start: " + t._2.lower + " end: " + t._2.upper)) + + val qualities = finalTasksSorted.map { t => + val key = t._1.id.name.split("_")(0) + " " + t._1.resourceExecutionTime.head._1.id + " quality" + val quality = config.getObservableMetrics.get(key) + val value = new ValueVisitor.NumberVisitor().visit(quality).intValue() + value + }.sum + val quality = Value.realValue(qualities, ValueType.realType(Double.MinValue, Double.MaxValue).asInstanceOf[ValueType.Real]) + +// import uk.ac.york.safire.factoryModel.Electrolux.ValueCurve +// +// val time = schedule.byResource.map(r => r._2.map(t => t._2.upper)).toList.flatten.map(i => new Integer(i)).sorted +// import scala.collection.JavaConverters._ +// val timeJava = time.asJava +// +// val useExactTimeV = config.getObservableMetrics.get("useExactTime"); +// val useExactTime = new ValueVisitor.NumberVisitor().visit(useExactTimeV).intValue(); +// +// val deadlineValue = config.getObservableMetrics.get("deadline"); +// val deadline = new ValueVisitor.NumberVisitor().visit(deadlineValue).intValue(); +// val bestDurationValue = config.getObservableMetrics.get("bestDuration"); +// val bestDuration = new ValueVisitor.NumberVisitor().visit(bestDurationValue).intValue(); +// +// val t1 = new ValueVisitor.NumberVisitor().visit(config.getObservableMetrics.get("t1")).intValue(); +// val t2 = new ValueVisitor.NumberVisitor().visit(config.getObservableMetrics.get("t2")).intValue(); +// val t3 = new ValueVisitor.NumberVisitor().visit(config.getObservableMetrics.get("t3")).intValue(); +// val t4 = new ValueVisitor.NumberVisitor().visit(config.getObservableMetrics.get("t4")).intValue(); +// +// val quality = if (useExactTime == 1) ValueCurve.getQualityExact(timeJava, t1, t2, t3, t4) else ValueCurve.getQuality(timeJava, time.min, time.max, deadline, bestDuration); + + + val qualityV = Value.realValue(qualities, ValueType.realType(Double.MinValue, Double.MaxValue).asInstanceOf[ValueType.Real]); + + val gap = schedule.byResource.map(r => r._2.map(t => t._2.lower)).toList.flatten.min; + val makespan = Value.realValue(schedule.makespan - gap, ValueType.realType(Double.MinValue, Double.MaxValue).asInstanceOf[ValueType.Real]) + + val objectiveMap = Map("makespan" -> makespan) ++ Map("energy" -> energy) ++ Map("montary" -> montary) ++ Map("urgency" -> numberOfVoliations) ++ Map("quality" -> qualityV) ++ surplusList ++ recipeAmountsProduced.map { case (k, v) => (k + " produced") -> Value.realValue(v, ValueType.realType(Double.MinValue, Double.MaxValue)) } + + val oldObjectives = config.getKeyObjectives; + + val newObjectives = Map() ++ oldObjectives.map { + case (key, value) => + val valueNew = objectiveMap.get(key).get; + + (key, valueNew) + } + + newObjectives + } + + protected def doReportStringSuffix(s: Schedule, newKeyObjectives: Map[String, Value]): String = + s"\nmakespan: ${new jeep.util.HMS(s.makespan * 60)}\n" + + protected def doReportStringSuffixELE(makespan: Int, newKeyObjectives: Map[String, Value]): String = + s"\nmakespan: ${new jeep.util.HMS(makespan * 60)}\n" +} + +object ElectroluxObjectiveFunction { + + import IAObjectiveFunction.{ InstanceName => InstanceName } + + def parentTask(tid: TaskId): TaskId = { + + val toArray = tid.name.split(" ") + if (toArray.length > 0) { + val taskNameLastToken = toArray.last(0); + + val taskNamePrefixArray = toArray.dropRight(1); + + val taskName = taskNamePrefixArray.mkString(" ") + " " + taskNameLastToken + + TaskId(taskName) + } else + tid + + } + + def makeTasks(recipes: Map[String, List[RecipeInfo]], resources: List[Resource], config: Configuration): Either[String, List[Task]] = { + + val mutex = IAObjectiveFunction.parseMutexesElectrolux(resources, config) + + def mkProductionLineTaskList(instanceName: InstanceName, allocatedResource: Resource): List[Task] = { + + if (allocatedResource.id.equals("No allocation")) + return Nil + + import scala.collection.JavaConversions._ + import uk.ac.york.safire.metrics.ValueVisitor + import uk.ac.york.safire.metrics._ + + val result = Map() ++ config.getObservableMetrics() + + val result1 = result.filter { + case (name, value) => /*name.contains(instanceName) &&*/ name.contains(instanceName + " " + allocatedResource.id) && !name.contains(" mutex ") && !name.contains("availability") + } + + val taskStart = result1.filter { + case (name, value) => name.contains("start") + } + + val recipeName = instanceName.info.name + val resourceName = allocatedResource.id + val overrideTime = result.filter { + case (name, value) => name.contains(recipeName) && name.contains(resourceName) && name.contains("override") + } + + val taskEnd = if (instanceName.info.name.contains("Boiled Water")) { + val overrideTimes = result.filter { + case (name, value) => name.contains("1L water on") + }.filter { + case (name, value) => name.contains(allocatedResource.id) + } + + if (intValue(overrideTimes.head._2) > 0) { + val amountProduced = intValue(config.getObservableMetrics.get(instanceName.info.name + " amount produced")) + intValue(overrideTimes.head._2) * (amountProduced / 1000) + } else { + intValue(result1.filter { + case (name, value) => name.contains("end") + }.head._2) + } + + } else { + if (intValue(overrideTime.head._2) > 0) + intValue(overrideTime.head._2) + else { + intValue(result1.filter { + case (name, value) => name.contains("end") + }.head._2) + } + } + + val taskEnergy = result1.filter { + case (name, value) => name.contains("energy") + } + + val taskMontary = result1.filter { + case (name, value) => name.contains("montary") + } + + val executionRelationRaw = result1.filter { + case (name, value) => name.contains("executedAfter") + } + + val executionRelation = executionRelationRaw.map { + case (name, value) => + val toArray = name.split(" executedAfter ") + (toArray(1), toArray(0)) + } + + val taskId = TaskId(instanceName.info.name + " " + instanceName.instanceId) + + val startTime = intValue(taskStart.head._2) + val endTime = startTime + taskEnd + + val energyCost = intValue(taskEnergy.head._2) + val montaryCost = intValue(taskMontary.head._2) + + if (executionRelation.isEmpty) { + val task = Task.apply( + taskId, + Map(allocatedResource -> endTime), + Map(), + startTime, energyCost, montaryCost, 1, mutex) + + task :: Nil + } else { + val taskId1 = TaskId(instanceName.info.name + " " + instanceName.instanceId + "_" + 1) + val endTime1 = { + intValue(result.filter { + case (name, value) => name.contains("1L water on ") && name.contains(allocatedResource.id) + }.head._2) + } + val waterTime = if (endTime1 > 0) endTime1 else 1 + + val energyCost1 = if (energyCost / 10 == 0) 1 else energyCost / 10 + val montaryCost1 = if (montaryCost / 10 == 0) 1 else montaryCost / 10 + + val task1 = Task.apply( + taskId1, + Map(allocatedResource -> waterTime), + Map(), + startTime, energyCost1, montaryCost1, 0, mutex) + + val task = Task.apply( + taskId, + Map(allocatedResource -> endTime), + Map(taskId1 -> IntervalRelation.PreceededGenerallyBy), + startTime, energyCost, montaryCost, 1, mutex) + + task1 :: task :: Nil + } + + } + + val tasks = (for ((recipeName, infos) <- recipes; info <- infos; instanceId <- 0 until info.instances) yield { + + val instanceName = InstanceName(info, instanceId) + val allocatedResource = IAObjectiveFunction.allocation(instanceName, config) + val allocationAvailable = if(allocatedResource.id.equals("No allocation")) true else IAObjectiveFunction.isResourceAvailable(allocatedResource, config) + if (!allocationAvailable) { + val compatible = compatibleResources(info.name, recipes, resources) + val availability = Map() ++ compatible.map { r => r -> config.getObservableMetrics().get(r.id + " availability") } + compatible.find { r => isResourceAvailable(r, config) } match { + // case None => Left(s"${allocatedResource.id} is not available for task $instanceName (and no compatible alternative resource is available)") + case None => List() // Left(s"${allocatedResource.id} is not available for task $instanceName") // (compatible resources: ${compatible})") + case Some(allocatedResource) => mkProductionLineTaskList(instanceName, allocatedResource) + } + } else { + mkProductionLineTaskList(instanceName, allocatedResource) + } + }).toList + + val resTasks = tasks.flatten; + // if all tasks could be allocated to resources, return them in a list + // otherwise, provide an descriptive string for the unallocated ones + + Either.cond( + !resTasks.isEmpty, + resTasks, + "schedule not success. no working recipe.") + + } + + def intValue(value: Value): Int = + new ValueVisitor.NumberVisitor().visit(value).intValue() + + def isResourceAvailable(resource: Resource, config: Configuration): Boolean = { + + intValue(config.getObservableMetrics().get(resource.id + " availability")) != 0 + // } catch { + // case npe: NullPointerException => true + // } + } + + def compatibleResources(infoName: String, recipes: Map[String, List[RecipeInfo]], resources: List[Resource]): Set[Resource] = { + import scala.collection.JavaConversions._ + recipes.values.flatten.find { info => info.name == infoName }.map { info => + info.compatibleResources.toList.map { i => resources(i) }.toSet + }.getOrElse(Set()) + } +} + +// End /////////////////////////////////////////////////////////////// diff --git a/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/IAObjectiveFunction.scala b/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/IAObjectiveFunction.scala old mode 100644 new mode 100755 index 79c73c431ca43e0aba599fc13a22997320bc61a4..5aefc3d7173f2b465ab017ba84b1ea722ac5f1fc --- a/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/IAObjectiveFunction.scala +++ b/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/IAObjectiveFunction.scala @@ -17,7 +17,7 @@ trait IAObjectiveFunction extends ObjectiveFunction.LocalObjectiveFunction { import uk.ac.york.safire.optimisation.ObjectiveFunction.Result - ///////////////////////////////// + ///////////////////////////////// // override def numObjectives: Int = 1 @@ -75,7 +75,7 @@ trait IAObjectiveFunction extends ObjectiveFunction.LocalObjectiveFunction { // List(IAObjectiveFunction.doubleValue(value).asInstanceOf[java.lang.Double]) // } - ///////////////////////////////// + ///////////////////////////////// override def evaluate(args: ObjectiveFunctionArguments): Callable[ObjectiveFunctionResult] = new Callable[ObjectiveFunctionResult]() { @@ -104,7 +104,7 @@ trait IAObjectiveFunction extends ObjectiveFunction.LocalObjectiveFunction { // val now = org.joda.time.DateTime.now() // def toJodaInterval(i: Interval) = { // val start: org.joda.time.ReadableInstant = now.plus(org.joda.time.Seconds.seconds(i.lower)) - // val duration: org.joda.time.ReadableDuration = org.joda.time.Duration.standardSeconds(i.length) + // val duration: org.joda.time.ReadableDuration = org.joda.time.Duration.standardSeconds(i.length) // new org.joda.time.Interval(start,duration) // } @@ -131,7 +131,7 @@ trait IAObjectiveFunction extends ObjectiveFunction.LocalObjectiveFunction { }.toSeq.sortWith { case (a, b) => cmp.compare(a._1, b._1) <= 0 } // import scala.collection.JavaConverters._ - // val typeOfMap=new com.google.gson.reflect.TypeToken[java.util.Map[String,java.util.List[ org.apache.commons.lang3.tuple.Pair[ String, org.apache.commons.lang3.tuple.Pair[ LocalDateTime, LocalDateTime ] ] ] ] ](){}.getType() + // val typeOfMap=new com.google.gson.reflect.TypeToken[java.util.Map[String,java.util.List[ org.apache.commons.lang3.tuple.Pair[ String, org.apache.commons.lang3.tuple.Pair[ LocalDateTime, LocalDateTime ] ] ] ] ](){}.getType() // new JsonConverter().toJson(m.asJava,typeOfMap) // new JsonConverter().toJson(m.asJava) @@ -166,8 +166,9 @@ object IAObjectiveFunction { def intValue(value: Value): Int = new ValueVisitor.NumberVisitor().visit(value).intValue() - def stringValue(value: Value): String = + def stringValue(value: Value): String = { new ValueVisitor.ValueStringVisitor().visit(value) + } ///////////////////////////////// @@ -185,16 +186,60 @@ object IAObjectiveFunction { if (start < end) Interval(start, end) else Interval(end, start) } + def getEnergyCost(instanceName: InstanceName, allocatedResource: Resource, config: Configuration): Int = { + + val recipeAndResourceNamePrefix = instanceName + " " + allocatedResource.id + val energy = config.getObservableMetrics().get(recipeAndResourceNamePrefix + " energy") + if (energy == null) + jeep.lang.Diag.println("No energy for " + recipeAndResourceNamePrefix) + + intValue(energy) + + } + + def getMontaryCost(instanceName: InstanceName, allocatedResource: Resource, config: Configuration): Int = { + + val recipeAndResourceNamePrefix = instanceName + " " + allocatedResource.id + val montary = config.getObservableMetrics().get(recipeAndResourceNamePrefix + " montary") + if (montary == null) + jeep.lang.Diag.println("No montary for " + recipeAndResourceNamePrefix) + + intValue(montary) + } + def priority(instanceName: String, config: Configuration): Int = { // require(config.getControlledMetrics().keySet().contains(instanceName + " priority"), s"Can't find priority for instance <<${instanceName}>>") - if( instanceName.contains( "unavailable" ) ) + if (instanceName.contains("unavailable")) Int.MaxValue else intValue(config.getControlledMetrics().get(instanceName + " priority")) } - def allocation(instanceName: InstanceName, config: Configuration): Resource = - Resource(stringValue(config.getControlledMetrics().get(instanceName + " allocation"))) + def priorityElectrolux(instanceName: String, config: Configuration): Int = { + // require(config.getControlledMetrics().keySet().contains(instanceName + " priority"), s"Can't find priority for instance <<${instanceName}>>") + if (instanceName.contains("unavailable")) + Int.MaxValue + else { + val instanceName1 = instanceName.split("_")(0) + intValue(config.getControlledMetrics().get(instanceName1 + " priority")) + } + + } + + def allocation(instanceName: InstanceName, config: Configuration): Resource = { + // TO BE REMOVED: added by PD on 28.09.2018 + // if(instanceName.toString()=="Std Weiss B 2") { + // println("ContolledMetrics: " + config.getControlledMetrics()) + // } + // val output = Resource(stringValue(config.getControlledMetrics().get(instanceName + " allocation"))) + // println("instanceName= " + instanceName + ", output= "+output) + // output + + val resourceName = stringValue(config.getControlledMetrics().get(instanceName + " allocation")) + + Resource(resourceName) + + } def compatibleResources(infoName: String, recipes: Map[String, List[RecipeInfo]], resources: List[Resource]): Set[Resource] = { import scala.collection.JavaConversions._ @@ -207,11 +252,11 @@ object IAObjectiveFunction { compatibleResources(infoName, recipes, resources).contains(r) def isResourceAvailable(resource: Resource, config: Configuration): Boolean = { - try { - intValue(config.getObservableMetrics().get(resource.id + " availability")) != 0 - } catch { - case npe: NullPointerException => true - } + // try { + intValue(config.getObservableMetrics().get(resource.id + " availability")) != 0 + // } catch { + // case npe: NullPointerException => true + // } } ///////////////////////////////// @@ -220,13 +265,69 @@ object IAObjectiveFunction { import scala.collection.JavaConversions._ + val mutexPairsRaw = Map() ++ config.getObservableMetrics() + + val mutexPairsRaw1 = mutexPairsRaw.filter { + case (name, value) => name.contains(" mutex ") && intValue(value) == 1 + } + + // println(mutexPairsRaw1) + + val mutexPairsRaw2 = mutexPairsRaw1.map { + case (name, value) => + val tokens = name.split(" mutex ") + val resource0Processed = tokens(0).split(" "); + val resource0Processed1 = resource0Processed(0) + " " + resource0Processed(1) + " " + resource0Processed(2) + val newKey = resource0Processed1 + " mutex " + tokens(1) + + newKey -> value + + } + + val mutexPairs = mutexPairsRaw2.map { + case (name, value) => + val tokens = name.split(" mutex ") + if (tokens.length == 2) { + // jeep.lang.Diag.println( tokens.mkString(",") ) + + List((Resource(tokens(0)), Resource(tokens(1))) -> value, (Resource(tokens(1)), Resource(tokens(0))) -> value) + } else + Nil + + }.flatten + + // jeep.lang.Diag.println(mutexPairs) + + val processedResource = resources.map { + case (r) => + val tokens = r.id.split(" ") + + if (tokens.length > 2) + Resource(tokens(0) + " " + tokens(1) + " " + tokens(2)) + else + Resource(tokens(0) + " " + tokens(1)) + }.distinct + + val result = Map() ++ processedResource.map { r => + r -> mutexPairs.map { case ((r1, r2), value) => if (r == r1) Some(r2) else None }.flatten.toSet + } + + result + } + + ///////////////////////////////// + + def parseMutexesONA(resources: List[Resource], config: Configuration): Map[Resource, Set[Resource]] = { + + import scala.collection.JavaConversions._ + val mutexPairs = Map() ++ config.getObservableMetrics().filter { case (name, value) => name.contains(" mutex ") && intValue(value) == 1 }.map { case (name, value) => val tokens = name.split(" mutex ") if (tokens.length == 2) { - // jeep.lang.Diag.println( tokens.mkString(",") ) + // jeep.lang.Diag.println( tokens.mkString(",") ) List((Resource(tokens(0)), Resource(tokens(1))) -> value, (Resource(tokens(1)), Resource(tokens(0))) -> value) } else Nil @@ -236,16 +337,64 @@ object IAObjectiveFunction { Map() ++ resources.map { r => r -> mutexPairs.map { case ((r1, r2), value) => if (r == r1) Some(r2) else None }.flatten.toSet } + } - ///////////////////////////////// + def parseMutexesElectrolux(resources: List[Resource], config: Configuration): Map[Resource, Set[Resource]] = { + + import scala.collection.JavaConversions._ + + val mutexPairsRaw = Map() ++ config.getObservableMetrics() + + val mutexPairsRaw1 = mutexPairsRaw.filter { + case (name, value) => name.contains(" mutex ") && intValue(value) == 1 + } + + // val mutexPairsRaw2 = mutexPairsRaw1.map { + // case (name, value) => + // val tokens = name.split(" mutex ") + // val resource0Processed = tokens(0).split(" "); + // val resource0Processed1 = resource0Processed.mkString(" ") + // val newKey = resource0Processed1 + " mutex " + tokens(1) + // + // newKey -> value + // + // } + + val mutexPairs = mutexPairsRaw1.map { + case (name, value) => + val tokens = name.split(" mutex ") + if (tokens.length == 2) { + // jeep.lang.Diag.println( tokens.mkString(",") ) + + List((Resource(tokens(0)), Resource(tokens(1))) -> value, (Resource(tokens(1)), Resource(tokens(0))) -> value) + } else + Nil + + }.flatten + + // jeep.lang.Diag.println(mutexPairs) + + val processedResource = resources.map { + case (r) => + Resource(r.id) + }.distinct + + val result = Map() ++ processedResource.map { r => + r -> mutexPairs.map { case ((r1, r2), value) => if (r == r1) Some(r2) else None }.flatten.toSet + } + + result + } + + /////////////// def nonUniqueNames(l: java.util.List[ObservableMetricType]): Map[String, Int] = { import scala.collection.JavaConversions._ l.groupBy { _.name }.mapValues(_.size).filter { case (name, count) => count > 1 } } - ///////////////////////////////// + ///////////////////////////////// def makeTasks(recipes: Map[String, List[RecipeInfo]], resources: List[Resource], config: Configuration): Either[String, List[Task]] = { @@ -254,7 +403,7 @@ object IAObjectiveFunction { // jeep.lang.Diag.println( mutex.filter { case (r,mutexes) => !mutexes.isEmpty }.mkString("\n") ) def mkTask(instanceName: InstanceName, allocatedResource: Resource): Task = { - // require( isCompatibleResource(recipes, resources)(infoName + in, allocatedResource) ) + // require( isCompatibleResource(recipes, resources)(infoName + in, allocatedResource) ) val executionInterval = interval(instanceName, allocatedResource, config) Task.single( TaskId(instanceName.toString()), @@ -275,7 +424,7 @@ object IAObjectiveFunction { val availability = Map() ++ compatible.map { r => r -> config.getObservableMetrics().get(r.id + " availability") } compatible.find { r => isResourceAvailable(r, config) } match { // case None => Left(s"${allocatedResource.id} is not available for task $instanceName (and no compatible alternative resource is available)") - case None => Left(s"${allocatedResource.id} is not available for task $instanceName") // (compatible resources: ${compatible})") + case None => Left(s"${allocatedResource.id} is not available for task $instanceName") // (compatible resources: ${compatible})") case Some(allocatedResource) => Right(mkTask(instanceName, allocatedResource)) } } else { @@ -292,7 +441,7 @@ object IAObjectiveFunction { ) } - /////////////////////////////// + /////////////////////////////// def reverseEngineerRecipesFromConfig(config: Configuration): (Map[String, List[RecipeInfo]], List[Resource]) = { diff --git a/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/OasObjectiveFunction.scala b/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/OasObjectiveFunction.scala old mode 100644 new mode 100755 index 03aa9f59d708a88962b103254ed2803d6d8a4f3a..7363327b4d266c57fb09c930d77da4b1e1deef06 --- a/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/OasObjectiveFunction.scala +++ b/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/OasObjectiveFunction.scala @@ -7,92 +7,140 @@ import uk.ac.york.safire.metrics._ /////////////////////////////////// /** - * Minimise n+1 objectives: + * Minimise n+1 objectives: * makespan, together with surplus for each of a set of n commodities (i.e. paints, in the OAS scenario) */ class OasObjectiveFunction(commodities: java.util.Set[String]) extends IAObjectiveFunction { override def numObjectives: Int = 1 + commodities.size + // override def numObjectives: Int = commodities.size override def objectiveValues(result: Result): java.util.List[java.lang.Double] = { val value = result.keyObjectiveMetrics.get("makespan") val visitor = new ValueVisitor.NumberVisitor() + val makespan: java.lang.Double = IAObjectiveFunction.doubleValue(value) import scala.collection.JavaConversions._ - val surplusList = commodities.map { recipeName => - val key = recipeName + " surplus" - val value = result.keyObjectiveMetrics.get( key ) + + val discrepancyList = commodities.toList.map { recipeName => + val key = recipeName + " amount discrepancy score" + val value = result.keyObjectiveMetrics.get(key) IAObjectiveFunction.doubleValue(value).asInstanceOf[java.lang.Double] - }.toList - + } + import scala.collection.JavaConversions._ - List(IAObjectiveFunction.doubleValue(value).asInstanceOf[java.lang.Double]) ++ surplusList + List(makespan) ++ discrepancyList } ///////////////////////////////// - + protected override def doUpdatedKeyObjectives(schedule: Schedule, config: Configuration): Map[String, Value] = { import scala.collection.JavaConversions._ - val amountsRequired: Map[String,Int] = Map() ++ commodities.map { recipeName => - val value = config.getObservableMetrics().get( recipeName + " amount required" ) + val amountsRequired: Map[String, Int] = Map() ++ commodities.map { recipeName => + val value = config.getObservableMetrics().get(recipeName + " amount required") recipeName -> IAObjectiveFunction.intValue(value) } - val amountsProduced: Map[String,Int] = Map() ++ config.getObservableMetrics().map { case (key,value) => - if( key.contains( "amount produced" ) ) { - val tokens = key.split( " " ) - Some( s"${tokens(0)} ${tokens(1)} ${tokens(2)}" -> IAObjectiveFunction.intValue(value)) - } - else - None + val amountsProduced: Map[String, Int] = Map() ++ config.getObservableMetrics().map { + case (key, value) => + if (key.contains("amount produced")) { + val tokens = key.split(" ") + Some(s"${tokens(0)} ${tokens(1)} ${tokens(2)}" -> IAObjectiveFunction.intValue(value)) + } else + None }.toList.flatten - - // jeep.lang.Diag.println( "amounts required: " + amountsRequired ) - // jeep.lang.Diag.println( "amounts produced: " + amountsProduced ) - + + //jeep.lang.Diag.println( "amounts required: " + amountsRequired ) + // jeep.lang.Diag.println( "amounts produced: " + amountsProduced ) + /////////////////////////////// - - val recipeAmounts = (for ((resource, tasks) <- schedule.byResource; task <- tasks) yield { - // val recipeAndResourceName = task._1.id.name + " " + resource.id - val recipeInfoName = task._1.id.name.split( " " ).dropRight(1).mkString( " " ) - val value = amountsProduced.get( recipeInfoName ) - if ( !value.isDefined ) { - jeep.lang.Diag.println("amount produced not found for: " + recipeInfoName) - recipeInfoName -> 0 - } - else { - recipeInfoName -> value.get + + // val recipeAmountsProducedTemp = (for ((resource, tasks) <- schedule.byResource; task <- tasks) yield { + // // val recipeAndResourceName = task._1.id.name + " " + resource.id + // val recipeInfoName = task._1.id.name.split(" ").dropRight(1).mkString(" ") + // val value = amountsProduced.get(recipeInfoName) + // if (!value.isDefined) { + // jeep.lang.Diag.println("WARNING: Amount produced not found for: " + recipeInfoName) + // recipeInfoName -> 0 + // } else { + // recipeInfoName -> value.get + // } + // }) + + val recipeAmountsProducedTemp = (for ((resource, tasks) <- schedule.byResource if resource.id != "No allocation") yield { + val xx = for (task <- tasks) yield { + // val recipeAndResourceName = task._1.id.name + " " + resource.id + val recipeInfoName = task._1.id.name.split(" ").dropRight(1).mkString(" ") + val value = amountsProduced.get(recipeInfoName) + + // println ("?" + resource.id) + + if (!value.isDefined) { + jeep.lang.Diag.println("WARNING: Amount produced not found for: " + recipeInfoName) + recipeInfoName -> 0 + } else { + recipeInfoName -> value.get + } } - }).toList.groupBy { _._1 }.map { case (recipeInfoName,ammounts) => - recipeInfoName.dropRight(1) -> ammounts.map { _._2 }.sum + xx.toList + }).toList + + //jeep.lang.Diag.println( "recipie amounts produced temp: " + recipeAmountsProducedTemp ) + // jeep.lang.Diag.println( "recipie amounts produced temp sum: " + recipeAmountsProducedTemp.map { _._2 }.sum ) + val recipeAmountsProducedTemp2 = (recipeAmountsProducedTemp.flatten).groupBy { _._1.dropRight(1).trim } + + //jeep.lang.Diag.println( "recipie amounts produced temp2: " + recipeAmountsProducedTemp2 ) + val recipeAmountsProduced = recipeAmountsProducedTemp2.map { + case (recipeInfoName, ammounts) => + // recipeInfoName.dropRight(1).trim -> ammounts.map { _._2 }.sum + recipeInfoName -> ammounts.map { _._2 }.sum } /////////////////////////////// - - val surplusList = amountsRequired.map { case (recipeName,requiredQuantity) => - val produced = recipeAmounts.get(recipeName).getOrElse(0) - val surplus = math.max( 0, requiredQuantity - produced ) - recipeName + " surplus" -> Value.intValue(surplus, ValueType.intType(0,Int.MaxValue)) - } + + val InsufficientProductionWeightingFactor = 10 + + val surplusList = amountsRequired.map { + case (recipeName, requiredQuantity) => + val produced = recipeAmountsProduced.get(recipeName).getOrElse(0) + // val surplus = math.max(0, requiredQuantity - produced) + // val surplus = math.abs( requiredQuantity - produced ) // FIXME + // recipeName + " surplus" -> Value.intValue(surplus, ValueType.intType(0, Int.MaxValue)) + + val discrepancy = if (produced < requiredQuantity) + (InsufficientProductionWeightingFactor * (requiredQuantity - produced)) + else + produced - requiredQuantity + + // val discrepancy = produced - requiredQuantity + + recipeName + " amount discrepancy score" -> Value.intValue(discrepancy, ValueType.intType(Int.MinValue, Int.MaxValue)) + } + + //jeep.lang.Diag.println( s"amountsRequired: ${amountsRequired.map { case (k,v) => s"<<$k>> -> $v" } }" ) + //jeep.lang.Diag.println( s"recipeAmountsProduced: ${recipeAmountsProduced.map { case (k,v) => s"<<$k>> -> $v" } }" ) + // jeep.lang.Diag.println( s"surplusList: ${surplusList.mkString("[",",\n","]")}" ) + // System.exit(0) /////////////////////////////// - + val makespan = Value.realValue(schedule.makespan, config.getKeyObjectives().get("makespan").getType.asInstanceOf[ValueType.Real]) - Map( "makespan" -> makespan ) ++ surplusList + Map("makespan" -> makespan) ++ surplusList ++ recipeAmountsProduced.map { case (k, v) => (k + " produced") -> Value.intValue(v, ValueType.intType(Int.MinValue, Int.MaxValue)) } + // Map() ++ surplusList ++ recipeAmountsProduced.map { case (k,v) => ( k + " produced" ) -> Value.intValue(v, ValueType.intType(Int.MinValue, Int.MaxValue)) } } protected override def doReportStringSuffix(s: Schedule, newKeyObjectives: Map[String, Value]): String = { - def surplusList(keyObjectives: Map[String,Value]): List[(String,Int)] = { + def discrepancyList(keyObjectives: Map[String, Value]): List[(String, Int)] = { import scala.collection.JavaConversions._ - commodities.map { recipeName => - val value = keyObjectives( recipeName + " surplus" ) + commodities.map { recipeName => + val value = keyObjectives(recipeName + " amount discrepancy score") recipeName -> IAObjectiveFunction.intValue(value) - }.toList + }.toList } - - s"\nmakespan: ${new jeep.util.HMS(s.makespan)}, ${surplusList(newKeyObjectives)}\n" + + s"\nmakespan: ${new jeep.util.HMS(s.makespan)}, amount discrepancy: ${discrepancyList(newKeyObjectives)}\n" } } diff --git a/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/OasProductionLineObjectiveFunction.scala b/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/OasProductionLineObjectiveFunction.scala old mode 100644 new mode 100755 index 7d48ac4aec1011bc78d0c0d4c426c7031bd07a8f..ce40e4008695a3c36085c0959da8d5c360272e41 --- a/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/OasProductionLineObjectiveFunction.scala +++ b/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/OasProductionLineObjectiveFunction.scala @@ -18,15 +18,11 @@ import uk.ac.york.safire.optimisation.ComeauBijectivePermutationHash /////////////////////////////////// -/** - * Minimise makespan over subtasks associated with "silo and mixer", "mixer" and "mixer and tank" - */ - -class OasProductionLineObjectiveFunction(sequenceDependentTasks: java.util.List[SequenceDependentTaskInfo]) extends ObjectiveFunction.LocalObjectiveFunction { +class OasProductionLineObjectiveFunction(sequenceDependentTasks: java.util.List[SequenceDependentTaskInfo], commodities: java.util.Set[String]) extends ObjectiveFunction.LocalObjectiveFunction { import uk.ac.york.safire.optimisation.ObjectiveFunction.Result - ///////////////////////////////// + ///////////////////////////////// override def predictKeyObjectives(originalConfig: Configuration, proposedControlMetrics: java.util.Map[String, Value]): Result = predictKeyObjectivesImpl(originalConfig, proposedControlMetrics) @@ -40,26 +36,75 @@ class OasProductionLineObjectiveFunction(sequenceDependentTasks: java.util.List[ val config = Configuration.update(originalConfig, proposedControlMetrics, originalConfig.getKeyObjectives) val (recipes, resources) = IAObjectiveFunction.reverseEngineerRecipesFromConfig(config) - /////////////////////////////// - OasProductionLineObjectiveFunction.makeTasks(recipes, resources, config) match { case m @ Left(errorString) => new Result(config.getKeyObjectives, errorString) case Right(tasks) => { - val scheduler = new FIFOScheduler() + val scheduler = new FIFOSchedulerOAS() def endUserPriority(t: Task): Int = IAObjectiveFunction.priority(OasProductionLineObjectiveFunction.parentTask(t.id).name, config) val taskQueue: PriorityQueue[Task] = PriorityQueue(tasks: _*)(Ordering.by { endUserPriority }) - val sequenceDependentSetup = SequenceDependentTaskInfo.makeSequenceDependantSetup(sequenceDependentTasks) - scheduler.schedule(taskQueue, resources.toSet, sequenceDependentSetup) match { + val sequenceDependentSetup = SequenceDependentTaskInfo.makeSequenceDependantSetupOAS(sequenceDependentTasks, config) + + val realResources = resources.map { r => + if (r.id.equals("No allocation")) + r.id + else { + r.id.split(" ").dropRight(1).mkString(" ") + } + }.distinct.map(r => Resource(r)).toSet + + val unAvailableResources = config.getObservableMetrics.filter(c => c._1.contains(" unAvailabileTime ")).map(c => (c._1.split(" unAvailabileTime ").head, c._1.split(" unAvailabileTime ").last.split("_").toList)) + + val unAvailableTasks = unAvailableResources.map { + case (key, value) => + val resource = Resource(key) + + val unAvailableTaskOneLine = value.map { value => + val startTime = value.split(",").head.toInt + val endTime = value.split(",").last.toInt + val duration = endTime - startTime + + val taskId = key + " NotAvailble from " + startTime + " to " + endTime + "_" + key.toLowerCase().filter(c => c != '(' && c != ')' && !c.isDigit) + + Task.apply( + TaskId(taskId), + Map(resource -> duration), + Map(), + releaseTime = startTime, 0, 0, 0, Map() + ) + } + unAvailableTaskOneLine + } + + val unAvailableTaskList = unAvailableTasks.toList.flatten + + scheduler.schedule(taskQueue, realResources, sequenceDependentSetup, false, unAvailableTaskList) match { case None => new Result(config.getKeyObjectives, "Scheduler cannot find a valid schedule") case Some(schedule) => val newKeyObjectives = doUpdatedKeyObjectives(schedule, config) + + // val resources = schedule.byResource.keys.map(r => r.id.split(" ")).flatten.toList.distinct + // val taskByResource = resources.map { r => + // val nameLower = r.filter(c => c != '(' && c != ')' && !c.isDigit).toLowerCase() + // + // val taskList = schedule.byResource.filter(m => m._1.id.contains(r)).map(m => m._2.filter(t => t._1.id.name.contains(nameLower))).flatten.toList.sortBy(s => s._2.lower) + // + // r -> taskList + // } + // taskByResource.sortBy(f => f._1).foreach { f => + // println("Resource: " + f._1) + // + // f._2.foreach { t => + // println("Task: " + t._1.id.name + " Time: " + t._2.lower + " -> " + t._2.upper) + // } + // println() + // } + val reportStr = "Status: Succeeded.\n" + - PreemptionIAObjectiveFunction.toReportString(schedule, newKeyObjectives) + - doReportStringSuffix(schedule, newKeyObjectives) + PreemptionIAObjectiveFunction.toReportStringOAS(schedule, newKeyObjectives, config) + doReportStringSuffix(schedule, newKeyObjectives) new Result(newKeyObjectives, reportStr) } @@ -67,191 +112,306 @@ class OasProductionLineObjectiveFunction(sequenceDependentTasks: java.util.List[ } } - // protected def doUpdatedKeyObjectives(schedule: Schedule, config: Configuration): Map[String, Value] - - ///////////////////////////////// - override def evaluate(args: ObjectiveFunctionArguments): Callable[ObjectiveFunctionResult] = new Callable[ObjectiveFunctionResult]() { override def call(): ObjectiveFunctionResult = { + + // println("OAS now evaluate") val result = predictKeyObjectivesImpl(args.getConfiguration, args.getProposedControlMetrics) - // jeep.lang.Diag.println("statusString: " + result.objectiveFunctionStatusReport) + // jeep.lang.Diag.println("statusString: " + result.objectiveFunctionStatusReport) val newConfig = IAObjectiveFunction.addOptimisationStatusToConfiguration( result.objectiveFunctionStatusReport, Configuration.update(args.getConfiguration, args.getProposedControlMetrics, result.keyObjectiveMetrics) ) - // org.apache.commons.math3.util.Pair.create(newConfig, objectiveValues(result)) + org.apache.commons.math3.util.Pair.create(newConfig, objectiveValues(result)) new ObjectiveFunctionResult(newConfig, objectiveValues(result)) } } - ///////////////////////////////// - - override def numObjectives: Int = 1 + override def numObjectives: Int = 3 + commodities.size override def objectiveValues(result: Result): java.util.List[java.lang.Double] = { - val value1 = result.keyObjectiveMetrics.get("makespan") - import scala.collection.JavaConversions._ - List[java.lang.Double](IAObjectiveFunction.doubleValue(value1)) - } - ///////////////////////////////// + val value = result.keyObjectiveMetrics.get("makespan") + val value1 = result.keyObjectiveMetrics.get("energy") + val value2 = result.keyObjectiveMetrics.get("montary") + val value3 = result.keyObjectiveMetrics.get("urgency") + + val visitor = new ValueVisitor.NumberVisitor() + val makespan: java.lang.Double = if (value != null) IAObjectiveFunction.doubleValue(value) else -1 + val energy: java.lang.Double = if (value1 != null) IAObjectiveFunction.doubleValue(value1) else -1 + val montary: java.lang.Double = if (value2 != null) IAObjectiveFunction.doubleValue(value2) else -1 + val urgency: java.lang.Double = if (value3 != null) IAObjectiveFunction.doubleValue(value3) else -1 + + val discrepancyList = commodities.toList.map { recipeName => + val key = recipeName + " amount discrepancy score" + val value = result.keyObjectiveMetrics.get(key) + if (value != null) IAObjectiveFunction.doubleValue(value).asInstanceOf[java.lang.Double] else new java.lang.Double(-1) + } + + val objectives = List(makespan) ++ List(energy) ++ List(montary) ++ List(urgency) ++ discrepancyList + objectives.filter(o => o >= 0) + } protected def doUpdatedKeyObjectives(schedule: Schedule, config: Configuration): Map[String, Value] = { -// def numDescents(perm: List[Int]): Int = -// perm.zip(perm.tail).count { case (permi, permiplusone) => permi > permiplusone } -// -// // get permutation of priorities from controlled metrics: -// val perm = OasProductionLineObjectiveFunction.searchBasedPriorityPermutation(config) -// val userPreferenceViolations = numDescents(perm) + import scala.collection.JavaConversions._ - Map() ++ List( - "makespan" -> Value.realValue(schedule.makespan, config.getKeyObjectives().get("makespan").getType.asInstanceOf[ValueType.Real]) - // , "user preference violations" -> Value.intValue(userPreferenceViolations, ValueType.intType(0, Integer.MAX_VALUE)) - ) + val amountsRequired: Map[String, Int] = Map() ++ commodities.map { recipeName => + val value = config.getObservableMetrics().get(recipeName + " amount required") + recipeName -> IAObjectiveFunction.intValue(value) + } + + val amountsProduced: Map[String, Int] = Map() ++ config.getObservableMetrics().map { + case (key, value) => + if (key.contains("amount produced")) { + val tokens = key.split(" ") + Some(s"${tokens(0)} ${tokens(1)} ${tokens(2)}" -> IAObjectiveFunction.intValue(value)) + } else + None + }.toList.flatten + + val recipeAmountsProducedTemp = (for ((resource, tasks) <- schedule.byResource if resource.id != "No allocation") yield { + val xx = for (task <- tasks) yield { + val recipeInfoName = task._1.id.name.split(" ").dropRight(1).mkString(" ") + val value = amountsProduced.get(recipeInfoName) + + if (!value.isDefined) { + // jeep.lang.Diag.println("WARNING: Amount produced not found for: " + recipeInfoName) + recipeInfoName -> 0 + } else { + if (task._1.isFinal == 1) + recipeInfoName -> value.get + else + recipeInfoName -> 0 + } + } + xx.toList + }).toList + + val recipeAmountsProducedTemp2 = (recipeAmountsProducedTemp.flatten).groupBy { _._1.dropRight(1).trim } + + val recipeAmountsProducedTemp3 = recipeAmountsProducedTemp2.filter(p => !p._1.contains("DependentSetUp")) + + val recipeAmountsProduced = recipeAmountsProducedTemp3.map { + case (recipeInfoName, ammounts) => + // recipeInfoName.dropRight(1).trim -> ammounts.map { _._2 }.sum + recipeInfoName -> ammounts.map { _._2 }.sum + } + + val InsufficientProductionWeightingFactor = 10 + + val surplusList = amountsRequired.map { + case (recipeName, requiredQuantity) => + val produced = recipeAmountsProduced.get(recipeName).getOrElse(0) + val discrepancy = if (produced < requiredQuantity) + (InsufficientProductionWeightingFactor * (requiredQuantity - produced)) + else + produced - requiredQuantity + + recipeName + " amount discrepancy score" -> Value.realValue(discrepancy, ValueType.realType(Double.MinValue, Double.MaxValue)) + } + + val makespan = Value.realValue(schedule.makespan, ValueType.realType(Double.MinValue, Double.MaxValue).asInstanceOf[ValueType.Real]) + val energy = Value.realValue(schedule.energy, ValueType.realType(Double.MinValue, Double.MaxValue).asInstanceOf[ValueType.Real]) + val montary = Value.realValue(schedule.montary, ValueType.realType(Double.MinValue, Double.MaxValue).asInstanceOf[ValueType.Real]) + + val finalTasks = schedule.byResource.map(taskByResource => taskByResource._2).toList.flatten.filter(task => task._1.isFinal == 1).sortWith((t1, t2) => t1._1.id.name < t2._1.id.name) + val finalTasksSorted = finalTasks.sortBy(t => (t._2.upper, t._2.lower)) + + // println("Final Task Size: " + finalTasks.size) + // finalTasksSorted.foreach(t => println(t._1.id + " resource: " + t._1.resourceExecutionTime.head._1.id + " start: " + t._2.lower + " end: " + t._2.upper)) + + val productUrgency = config.getObservableMetrics.filter(c => c._1.contains("urgency")).keys.toList.sortBy(c => c.split(" ").last.toInt); + val productName = productUrgency.map(c => c.split(" ")(0) + " " + c.split(" ")(1)) + + // val enoughTasks = finalTasksSorted.map{c => + // val productName = c._1.id.name.split(" ")(0) + " " + c._1.id.name.split(" ")(1) + " " + c._1.id.name.split(" ")(2) + // + // val amountProducedByproductName = amountsProduced.get(productName); + // + // + // } + import util.control.Breaks._ + + val finalTaskByProduct = productName.map { n => + val taskByProduct = finalTasksSorted.filter(t => t._1.id.name.contains(n)).sortBy(t => (t._2.upper, t._2.lower)) + val amountByTask = taskByProduct.map(t => amountsProduced.get(t._1.id.name.split(" ").dropRight(1).mkString(" ")).get) + val productAmountToProduct = amountsRequired.get(n).get; + + def doCut(taskByProduct: List[(Task, Interval)], amountByTask: List[Int]): (List[(Task, Interval)], List[Int]) = { + if (amountByTask.sum > productAmountToProduct) { + val amountByTaskCopy = amountByTask.dropRight(1) + + if (amountByTaskCopy.sum < productAmountToProduct) { + (taskByProduct, amountByTask) + } else { + doCut(taskByProduct.dropRight(1), amountByTaskCopy) + } + } else { + (taskByProduct, amountByTask) + } + } + + val taskWithCut = doCut(taskByProduct, amountByTask)._1 + val amountWithCut = doCut(taskByProduct, amountByTask)._2 + + // if (taskWithCut == null || taskWithCut.size == 0) { + // println("111111") + // + // val keys = config.getControlledMetrics.filter(k => k._1.contains(n) && k._1.contains("allocation")) + // + // + // println("111111") + // } + + (n, if (taskWithCut == null || taskWithCut.size == 0) Int.MaxValue else taskWithCut.last._2.upper) + }.sortBy(t => (t._2, t._1)).map(t => t._1) + + val urgencyVoliate = finalTaskByProduct.map(p => productName(finalTaskByProduct.indexOf(p)).equals(p)).filter(b => !b) + val numberOfVoliations = Value.realValue(urgencyVoliate.size, ValueType.realType(Double.MinValue, Double.MaxValue).asInstanceOf[ValueType.Real]) + + // println(); + // val tankTasks = schedule.byResource.map(taskByResource => taskByResource._2).toList.flatten.filter(task => task._1.id.name.contains("tank") && !task._1.id.name.contains("NotAvailble")).sortWith((t1, t2) => t1._1.id.name < t2._1.id.name) + // println("Tank Task Size: " + tankTasks.size) + // tankTasks.foreach(t => println(t._1.id + " start: " + t._2.lower + " end: " + t._2.upper)) + + val objectiveMap = Map("makespan" -> makespan) ++ Map("energy" -> energy) ++ Map("montary" -> montary) ++ Map("urgency" -> numberOfVoliations) ++ surplusList ++ recipeAmountsProduced.map { case (k, v) => (k + " produced") -> Value.realValue(v, ValueType.realType(Double.MinValue, Double.MaxValue)) } + + val oldObjectives = config.getKeyObjectives; + + val newObjectives = Map() ++ oldObjectives.map { + case (key, value) => + val valueNew = objectiveMap.get(key).get; + + (key, valueNew) + } + + newObjectives } - // protected override def doReportStringSuffix(s: Schedule, newKeyObjectives: Map[String, Value]): String = protected def doReportStringSuffix(s: Schedule, newKeyObjectives: Map[String, Value]): String = - s"\nmakespan: ${new jeep.util.HMS(s.makespan)}\n" - - /** - * ************** - * protected def doReportStringSuffix(s: Schedule, newKeyObjectives: Map[String, Value]): String = ??? - * - * - * override def numObjectives: Int = 2 - * - * override def objectiveValues(result: Result): java.util.List[java.lang.Double] = { - * import scala.collection.JavaConversions._ - * val cost = IAObjectiveFunction.doubleValue(result.keyObjectiveMetrics.get("totalcost")).asInstanceOf[java.lang.Double] - * val makespan = IAObjectiveFunction.doubleValue(result.keyObjectiveMetrics.get("makespan")).asInstanceOf[java.lang.Double] - * - * // List(IAObjectiveFunction.doubleValue(result.keyObjectiveMetrics.get("totalcost")).asInstanceOf[java.lang.Double]) - * // val xx = (OnaObjectiveFunction.W1*makespan)/(50*111917.3) + (OnaObjectiveFunction.W2*cost)/68616.1 - * // val xx = (OnaObjectiveFunction.W1 * makespan) / (50 * 111917.3) + (OnaObjectiveFunction.W2 * cost) / 68616.1 - * List[java.lang.Double](cost, makespan) - * } - * - * ///////////////////////////////// - * - * protected def doUpdatedKeyObjectives(schedule: Schedule, config: Configuration): Map[String, Value] = { - * - * import scala.collection.JavaConversions._ - * - * // jeep.lang.Diag.println( config.getObservableMetrics().filter { o => o._1.contains("cost" )} ) - * - * // if (config.getObservableMetrics().get(recipeAndResourceName + " cost") == null) - * // jeep.lang.Diag.println("cost not found for: " + recipeAndResourceName) - * // IAObjectiveFunction.doubleValue(config.getObservableMetrics().get(recipeAndResourceName + " cost")) - * - * def stripUid(taskId: String): String = { - * val lo = taskId.indexOf("[UID") - * val hi = taskId.indexOf("]") - * if (lo == -1 || hi == -1) taskId else { taskId.substring(0, lo) + taskId.substring(hi + 1, taskId.length) } - * } - * - * val totalcost = (for ((resource, tasks) <- schedule.byResource; task <- tasks) yield { - * - * val recipeAndResourceName = PreemptionIAObjectiveFunction.parentTask(task._1.id).name + " " + resource.id - * - * val cost = if (recipeAndResourceName.startsWith("idle")) { - * //jeep.lang.Diag.println( recipeAndResourceName ) - * //jeep.lang.Diag.println( prefix( recipeAndResourceName ) ) - * sequenceDependentTasks.find { t => t.id + " " + t.resource == stripUid(recipeAndResourceName) }.map { _.cost } - * } else { - * val costValue = config.getObservableMetrics().get(recipeAndResourceName + " cost") - * if (costValue == null) None else Some(IAObjectiveFunction.doubleValue(costValue)) - * } - * if (!cost.isDefined) - * jeep.lang.Diag.println(s"WARNING: cannot find cost for ${recipeAndResourceName}") - * cost - * }).flatten.sum - * - * Map( - * "totalcost" -> Value.realValue(totalcost, ValueType.realType(0.0, Double.MaxValue)), - * "makespan" -> Value.realValue(schedule.makespan, config.getKeyObjectives().get("makespan").getType.asInstanceOf[ValueType.Real]) - * ) - * } - * - * ///////////////////////////////// - * - * protected def doReportStringSuffix(s: Schedule, newKeyObjectives: Map[String, Value]): String = { - * s"\nmakespan: ${new jeep.util.HMS(s.makespan)}\n" ++ - * s"\ncost: ${IAObjectiveFunction.doubleValue(newKeyObjectives("totalcost"))}\n" - * } - * ****************** - */ + s"\nmakespan: ${new jeep.util.HMS(s.makespan * 60)}\n" } -/////////////////////////////////// - object OasProductionLineObjectiveFunction { import IAObjectiveFunction.{ InstanceName => InstanceName } def parentTask(tid: TaskId): TaskId = { - val suffixes = List("_silo_and_mixer", "_mixer", "_mixer_and_tank") - suffixes.find { tid.name.endsWith(_) }.map { suffix => - TaskId(tid.name.substring(0, tid.name.length - suffix.length)) - }.getOrElse(tid) - } - ///////////////////////////////// + val toArray = tid.name.split(" ") + if (toArray.length > 0) { + val taskNameLastToken = toArray.last(0); + + val taskNamePrefixArray = toArray.dropRight(1); + + val taskName = taskNamePrefixArray.mkString(" ") + " " + taskNameLastToken + + TaskId(taskName) + } else + tid + + } def makeTasks(recipes: Map[String, List[RecipeInfo]], resources: List[Resource], config: Configuration): Either[String, List[Task]] = { + // println("OAS now parse mutex"); + val mutex = IAObjectiveFunction.parseMutexes(resources, config) def mkProductionLineTaskList(instanceName: InstanceName, allocatedResource: Resource): List[Task] = { - val overallExecutionInterval = IAObjectiveFunction.interval(instanceName, allocatedResource, config) - val siloAndMixerId = TaskId(instanceName + "_silo_and_mixer") - val siloAndMixer = Task.single( - siloAndMixerId, - Map(allocatedResource -> overallExecutionInterval.length / 10), - releaseTime = overallExecutionInterval.lower, mutex - ) - val mixerId = TaskId(instanceName + "_mixer") - val mixer = Task.apply( - mixerId, - Map(allocatedResource -> overallExecutionInterval.length / 80), - relations = Map(siloAndMixerId -> IntervalRelation.PreceededGenerallyBy), - releaseTime = 0, mutex - ) - val mixerAndTank = Task.apply( - TaskId(instanceName + "_mixer_and_tank"), - Map(allocatedResource -> overallExecutionInterval.length / 10), - relations = Map(mixerId -> IntervalRelation.PreceededGenerallyBy), - releaseTime = 0, mutex - ) - List(siloAndMixer, mixer, mixerAndTank) - } + val resourceTokens = allocatedResource.id.split(" "); + val realResourceName = if (resourceTokens.length > 2) resourceTokens(0) + " " + resourceTokens(1) + " " + resourceTokens(2) else resourceTokens(0) + " " + resourceTokens(1) + val realAllocatedResource = Resource(realResourceName) - /////////////////////////////// + import scala.collection.JavaConversions._ + import uk.ac.york.safire.metrics.ValueVisitor + import uk.ac.york.safire.metrics._ + + val result = Map() ++ config.getObservableMetrics() + + val result1 = result.filter { + case (name, value) => /*name.contains(instanceName) &&*/ name.contains(instanceName + " " + allocatedResource.id) && !name.contains(" mutex ") && !name.contains("availability") + } + + val taskStart = result1.filter { + case (name, value) => name.contains("start") + } + + val taskEnd = result1.filter { + case (name, value) => name.contains("end") + } + + val taskEnergy = result1.filter { + case (name, value) => name.contains("energy") + } + + val taskMontary = result1.filter { + case (name, value) => name.contains("montary") + } + + val executionRelationRaw = result1.filter { + case (name, value) => name.contains("executedAfter") + } + + val executionRelation = executionRelationRaw.map { + case (name, value) => + val toArray = name.split(" ") + (toArray(toArray.length - 1), toArray(toArray.length - 3)) + } + + val taskNameRaw = taskStart.map(f => f._1.split(" ")(f._1.split(" ").length - 2)).toList + val taskNameProcessed = taskNameRaw.map { n => n -> ("_" + n) } + + val tasks = taskNameProcessed.map { n => + val taskId = TaskId(instanceName + n._2) + + def intValue(value: Value): Int = + new ValueVisitor.NumberVisitor().visit(value).intValue() + + val endTime = intValue(taskEnd.filter(t => t._1.split(" ").dropRight(1).last.equals(n._1)).head._2) + val startTime = intValue(taskStart.filter(t => t._1.split(" ").dropRight(1).last.equals(n._1)).head._2) + val energyCost = intValue(taskEnergy.filter(t => t._1.split(" ").dropRight(1).last.equals(n._1)).head._2) + val montaryCost = intValue(taskMontary.filter(t => t._1.split(" ").dropRight(1).last.equals(n._1)).head._2) + + val taskExecutedBeforeMap = executionRelation.filter { r => r._2.equals(n._1) } + + val isFinal = if (executionRelation.filter(r => r._1.equals(n._1)).isEmpty) 1 else 0 + + if (taskExecutedBeforeMap.size > 0) { + Task.apply( + taskId, + Map(realAllocatedResource -> endTime), + Map(TaskId(instanceName + "_" + taskExecutedBeforeMap.last._1) -> IntervalRelation.PreceededGenerallyBy), + releaseTime = startTime, energyCost, montaryCost, isFinal, mutex + ) + } else { + Task.apply( + taskId, + Map(realAllocatedResource -> endTime), + Map(), + releaseTime = startTime, energyCost, montaryCost, isFinal, mutex + ) + } + + } + tasks + } val tasks = (for ((recipeName, infos) <- recipes; info <- infos; instanceId <- 0 until info.instances) yield { - // val instanceName = info.name + " " + instanceId + val instanceName = InstanceName(info, instanceId) val allocatedResource = IAObjectiveFunction.allocation(instanceName, config) val allocationAvailable = IAObjectiveFunction.isResourceAvailable(allocatedResource, config) if (!allocationAvailable) { - - val compatible = IAObjectiveFunction.compatibleResources(info.name, recipes, resources) - val availability = Map() ++ compatible.map { r => r -> config.getObservableMetrics().get(r.id + " availability") } - compatible.find { r => IAObjectiveFunction.isResourceAvailable(r, config) } match { - // case None => Left(s"${allocatedResource.id} is not available for task $instanceName (and no compatible alternative resource is available)") - case None => Left(s"${allocatedResource.id} is not available for task $instanceName") // (compatible resources: ${compatible})") - case Some(allocatedResource) => { - Right(mkProductionLineTaskList(instanceName, allocatedResource)) // , numPreemptionPoints)) - } - } + Left(s"${allocatedResource.id} is not available for task $instanceName") } else { - Right(mkProductionLineTaskList(instanceName, allocatedResource)) //, numPreemptionPoints)) + Right(mkProductionLineTaskList(instanceName, allocatedResource)) } }).toList diff --git a/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/OnaMultipleObjectiveFunction.scala b/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/OnaMultipleObjectiveFunction.scala old mode 100644 new mode 100755 index a6ba4a6970ce6153f8453e9a619df09a4db062ef..4dac984f18f00550c306813062cd42c9130a7fc7 --- a/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/OnaMultipleObjectiveFunction.scala +++ b/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/OnaMultipleObjectiveFunction.scala @@ -21,9 +21,9 @@ import uk.ac.york.safire.metrics._ class OnaMultipleObjectiveFunction extends IAObjectiveFunction { -//jeep.lang.Diag.println() -//System.exit(0) - + //jeep.lang.Diag.println() + //System.exit(0) + override def predictKeyObjectives(originalConfig: Configuration, proposedControlMetrics: java.util.Map[String, Value]): Result = predictKeyObjectivesImpl(originalConfig, proposedControlMetrics) @@ -31,9 +31,9 @@ class OnaMultipleObjectiveFunction extends IAObjectiveFunction { private def predictKeyObjectivesImpl(originalConfig: Configuration, proposedControlMetrics: java.util.Map[String, Value]): Result = { -//jeep.lang.Diag.println() -//System.exit(0) - + //jeep.lang.Diag.println() + //System.exit(0) + import scala.collection.JavaConversions._ val config = Configuration.update(originalConfig, proposedControlMetrics, originalConfig.getKeyObjectives) @@ -57,9 +57,9 @@ class OnaMultipleObjectiveFunction extends IAObjectiveFunction { } } } - - ///////////////////////////////// - + + ///////////////////////////////// + override def numObjectives: Int = 2 override def objectiveValues(result: Result): java.util.List[java.lang.Double] = { @@ -118,175 +118,175 @@ object OnaMultipleObjectiveFunction { import IAObjectiveFunction._ - private case class DependencyInfo(name: String,dependentNamePrefixes: List[String]) + private case class DependencyInfo(name: String, dependentNamePrefixes: List[String]) private def parseDependencyInfo(s: String): DependencyInfo = { import scala.util.parsing.combinator._ - import scala.util.parsing.combinator.JavaTokenParsers - - object Parser extends JavaTokenParsers { + import scala.util.parsing.combinator.JavaTokenParsers + + object Parser extends JavaTokenParsers { val identifier: Parser[String] = "([A-Za-z_]+[A-Za-z0-9_]*)".r - val dependents: Parser[List[String]] = repsep(identifier,",") + val dependents: Parser[List[String]] = repsep(identifier, ",") - def singleTask: Parser[DependencyInfo] = identifier ^^ { DependencyInfo( _, Nil ) } - def dependentTask: Parser[DependencyInfo] = - identifier ~ "{" ~ dependents ~ "}" ^^ { case name ~ _ ~ dependents ~ "}" => - DependencyInfo( name, dependents ) + def singleTask: Parser[DependencyInfo] = identifier ^^ { DependencyInfo(_, Nil) } + def dependentTask: Parser[DependencyInfo] = + identifier ~ "{" ~ dependents ~ "}" ^^ { + case name ~ _ ~ dependents ~ "}" => + DependencyInfo(name, dependents) } - - def dependencyInfo: Parser[DependencyInfo] = dependentTask | singleTask - } - - Parser.parseAll(Parser.dependencyInfo,s) match { - case Parser.Success(result, _) => result - case result @ _ => throw new IllegalArgumentException( result.toString ) - } + + def dependencyInfo: Parser[DependencyInfo] = dependentTask | singleTask + } + + Parser.parseAll(Parser.dependencyInfo, s) match { + case Parser.Success(result, _) => result + case result @ _ => throw new IllegalArgumentException(result.toString) + } } -// def testDependentTaskParser: Unit = { -// println( parseDependencyInfo( "P10b" ) ) -// // println( parseDependencyInfo( "Pb{Pa}" ) ) -// println( parseDependencyInfo( "P10b{P10a,P10c}" ) ) -// System.exit(0) -// } - + // def testDependentTaskParser: Unit = { + // println( parseDependencyInfo( "P10b" ) ) + // // println( parseDependencyInfo( "Pb{Pa}" ) ) + // println( parseDependencyInfo( "P10b{P10a,P10c}" ) ) + // System.exit(0) + // } + ///////////////////////////////// - + def makeTasks(recipes: Map[String, List[RecipeInfo]], resources: List[Resource], config: Configuration): Either[String, List[Task]] = { val mutex = IAObjectiveFunction.parseMutexes(resources, config) def mkTask(instanceName: InstanceName, allocatedResource: Resource): Task = { // require( isCompatibleResource(recipes, resources)(infoName + in, allocatedResource) ) - + val dependencyInfo = parseDependencyInfo(instanceName.info.name) val executionInterval = interval(instanceName, allocatedResource, config) - if( dependencyInfo.dependentNamePrefixes.isEmpty ) { + if (dependencyInfo.dependentNamePrefixes.isEmpty) { Task.single( TaskId(instanceName.toString()), Map(allocatedResource -> executionInterval.length), releaseTime = executionInterval.lower, mutex ) - } - else { + } else { - def relations(di: DependencyInfo): Map[TaskId,IntervalRelation] = { + def relations(di: DependencyInfo): Map[TaskId, IntervalRelation] = { def lookupRecipeFromPrefix(dependentNamePrefix: String): Option[RecipeInfo] = - recipes.values.toList.flatten.find { r => - r.name.startsWith( dependentNamePrefix ) + recipes.values.toList.flatten.find { r => + r.name.startsWith(dependentNamePrefix) } - val rels = for { - dependentNamePrefix <- di.dependentNamePrefixes; - r <- lookupRecipeFromPrefix(dependentNamePrefix) - } yield { - (0 until r.instances).map { i => - TaskId(r.name + " " + i ) -> IntervalRelation.PreceededGenerallyBy - } + val rels = for { + dependentNamePrefix <- di.dependentNamePrefixes; + r <- lookupRecipeFromPrefix(dependentNamePrefix) + } yield { + (0 until r.instances).map { i => + TaskId(r.name + " " + i) -> IntervalRelation.PreceededGenerallyBy } - Map() ++ rels.flatten + } + Map() ++ rels.flatten } - -// jeep.lang.Diag.println( s"mkTask: $instanceName ${relations(dependencyInfo)}" ) - + + // jeep.lang.Diag.println( s"mkTask: $instanceName ${relations(dependencyInfo)}" ) + Task.apply( TaskId(instanceName.toString()), Map(allocatedResource -> executionInterval.length), relations = relations(dependencyInfo), - releaseTime = 0, mutex + releaseTime = 0, 0, 0, 1, mutex ) } } /////////////////////////////// -// var cccc = 0 + // var cccc = 0 - def resourceOfParentTask(instanceName: InstanceName, tasks: List[Either[String,Task]]): Option[Resource] = { + def resourceOfParentTask(instanceName: InstanceName, tasks: List[Either[String, Task]]): Option[Resource] = { val dependencyInfo = parseDependencyInfo(instanceName.info.name) - tasks.reverse.find( _ match { - case Left(_) => false - case Right(tt) => dependencyInfo.dependentNamePrefixes.exists { prefix => tt.id.name.startsWith(prefix) } + tasks.reverse.find(_ match { + case Left(_) => false + case Right(tt) => dependencyInfo.dependentNamePrefixes.exists { prefix => tt.id.name.startsWith(prefix) } + }).flatMap { + _ match { + case Left(_) => None + case Right(tt) => + assert(tt.resourceExecutionTime.size == 1) + Some(tt.resourceExecutionTime.toList.head._1) } - ).flatMap { _ match { - case Left(_) => None - case Right(tt) => - assert( tt.resourceExecutionTime.size == 1 ) - Some(tt.resourceExecutionTime.toList.head._1) - } } - } - + } + } + /////////////////////////////// - - def isBiLevelCompatible(instanceName: InstanceName, r: Resource, tasks: List[Either[String,Task]]): Boolean = { + + def isBiLevelCompatible(instanceName: InstanceName, r: Resource, tasks: List[Either[String, Task]]): Boolean = { def impl(last: Resource, current: Resource): Boolean = - if( last.id.startsWith( "LargeA" ) || last.id.startsWith( "LargeB" ) ) - current.id.startsWith( "LargeD" ) + if (last.id.startsWith("LargeA") || last.id.startsWith("LargeB")) + current.id.startsWith("LargeD") else { - if( last.id.startsWith( "LargeC" ) ) - current.id.startsWith( "LargeE" ) - else + if (last.id.startsWith("LargeC")) + current.id.startsWith("LargeE") + else true } - - (for( last <- resourceOfParentTask(instanceName, tasks.toList) ) yield { + + (for (last <- resourceOfParentTask(instanceName, tasks.toList)) yield { impl(last, r) - }).getOrElse( true ) + }).getOrElse(true) } - - val tasks = scala.collection.mutable.ListBuffer.empty[Either[String,Task]] + + val tasks = scala.collection.mutable.ListBuffer.empty[Either[String, Task]] for ((recipeName, infos) <- recipes; info <- infos; instanceId <- 0 until info.instances) { // val instanceName = info.name + " " + instanceId val instanceName = InstanceName(info, instanceId) val allocatedResource = allocation(instanceName, config) - - val allocationAvailable = isResourceAvailable(allocatedResource, config) && + + val allocationAvailable = isResourceAvailable(allocatedResource, config) && isBiLevelCompatible(instanceName, allocatedResource, tasks.toList) -// if( resourceOfParentTask(instanceName, tasks.toList).isDefined ) { -// jeep.lang.Diag.println( resourceOfParentTask(instanceName, tasks.toList) ) -// System.exit(0) -// } -// -// jeep.lang.Diag.println( "name: " + instanceName + ", resource: " + allocatedResource + " tasks: " + tasks + "parentResource " + resourceOfParentTask(instanceName, tasks.toList) ) - -// if( cccc == 10 ) -// System.exit(0) -// -// cccc += 1 - + // if( resourceOfParentTask(instanceName, tasks.toList).isDefined ) { + // jeep.lang.Diag.println( resourceOfParentTask(instanceName, tasks.toList) ) + // System.exit(0) + // } + // + // jeep.lang.Diag.println( "name: " + instanceName + ", resource: " + allocatedResource + " tasks: " + tasks + "parentResource " + resourceOfParentTask(instanceName, tasks.toList) ) + + // if( cccc == 10 ) + // System.exit(0) + // + // cccc += 1 + if (allocationAvailable) { -// jeep.lang.Diag.println( allocationAvailable ) -//jeep.lang.Diag.println( "name: " + instanceName + ", resource: " + allocatedResource + " tasks: " + tasks ) -//jeep.lang.Diag.println( "bilevelcompat: " + isBiLevelCompatible(instanceName, allocatedResource, tasks.toList) ) - tasks.append( Right(mkTask(instanceName, allocatedResource)) ) - } - else { + // jeep.lang.Diag.println( allocationAvailable ) + //jeep.lang.Diag.println( "name: " + instanceName + ", resource: " + allocatedResource + " tasks: " + tasks ) + //jeep.lang.Diag.println( "bilevelcompat: " + isBiLevelCompatible(instanceName, allocatedResource, tasks.toList) ) + tasks.append(Right(mkTask(instanceName, allocatedResource))) + } else { val compatible = compatibleResources(info.name, recipes, resources).filter { r => tasks.isEmpty || isBiLevelCompatible(instanceName, r, tasks.toList) } -// jeep.lang.Diag.println( "name: " + instanceName + ", resource: " + allocatedResource + " tasks: " + tasks ) - -// val rejectedByBilevel = compatibleResources(info.name, recipes, resources).toSet - compatible.toSet -// jeep.lang.Diag.println( " rejectedByBilevel:" + rejectedByBilevel ) -// System.exit(0) - - val availability = Map() ++ compatible.map { r => - r -> config.getObservableMetrics().get(r.id + " availability") + // jeep.lang.Diag.println( "name: " + instanceName + ", resource: " + allocatedResource + " tasks: " + tasks ) + + // val rejectedByBilevel = compatibleResources(info.name, recipes, resources).toSet - compatible.toSet + // jeep.lang.Diag.println( " rejectedByBilevel:" + rejectedByBilevel ) + // System.exit(0) + + val availability = Map() ++ compatible.map { r => + r -> config.getObservableMetrics().get(r.id + " availability") } val result = compatible.find { r => isResourceAvailable(r, config) } match { // case None => Left(s"${allocatedResource.id} is not available for task $instanceName (and no compatible alternative resource is available)") - case None => Left(s"${allocatedResource.id} is not available for task $instanceName") // (compatible resources: ${compatible})") + case None => Left(s"${allocatedResource.id} is not available for task $instanceName") // (compatible resources: ${compatible})") case Some(allocatedResource) => Right(mkTask(instanceName, allocatedResource)) } - tasks.append( result ) - } + tasks.append(result) + } } -// jeep.lang.Diag.println( tasks.size ) -// jeep.lang.Diag.println( tasks.mkString("[",",\n","]") ) - + // jeep.lang.Diag.println( tasks.size ) + // jeep.lang.Diag.println( tasks.mkString("[",",\n","]") ) + // if all tasks could be allocated to resources, return them in a list // otherwise, provide an descriptive string for the unallocated ones Either.cond( diff --git a/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/OnaSingleObjectiveFunction.scala b/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/OnaSingleObjectiveFunction.scala old mode 100644 new mode 100755 index dcbe03c3f28b45123a7480c771e2f3a11d5d11fc..9aa880df078998306dfaaa75950948ded0211ff8 --- a/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/OnaSingleObjectiveFunction.scala +++ b/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/OnaSingleObjectiveFunction.scala @@ -54,7 +54,7 @@ class OnaSingleObjectiveFunction extends IAObjectiveFunction { } ///////////////////////////////// - + override def numObjectives: Int = 1 override def objectiveValues(result: Result): java.util.List[java.lang.Double] = { @@ -69,7 +69,7 @@ class OnaSingleObjectiveFunction extends IAObjectiveFunction { } ///////////////////////////////// - + protected override def doUpdatedKeyObjectives(schedule: Schedule, config: Configuration): Map[String, Value] = { import scala.collection.JavaConversions._ @@ -80,12 +80,11 @@ class OnaSingleObjectiveFunction extends IAObjectiveFunction { val recipeAndResourceName = task._1.id.name + " " + resource.id if (config.getObservableMetrics().get(recipeAndResourceName + " cost") == null) { - - if( !recipeAndResourceName.contains( "unavailable" ) ) + + if (!recipeAndResourceName.contains("unavailable")) jeep.lang.Diag.println("cost not found for: " + recipeAndResourceName) - 0.0 - } - else { + 0.0 + } else { IAObjectiveFunction.doubleValue(config.getObservableMetrics().get(recipeAndResourceName + " cost")) } }).sum @@ -119,46 +118,52 @@ object OnaSingleObjectiveFunction { var W1: Double = 0.0 var W2: Double = 0.0 - + ///////////////////////////////// - def parseUnavailability(c: Configuration): Map[Resource,List[Interval]] = { - import scala.collection.JavaConversions._ - - val unavailableByResource = c.getObservableMetrics.filter { case (key,value) => - key.contains("unavailable") }.toList.groupBy { case (key,value) => - val tokens = key.split( " " ) + def parseUnavailability(c: Configuration): Map[Resource, List[Interval]] = { + import scala.collection.JavaConversions._ + + val unavailableByResource = c.getObservableMetrics.filter { + case (key, value) => + key.contains("unavailable") + }.toList.groupBy { + case (key, value) => + val tokens = key.split(" ") tokens.head + " " + tokens(1) } - + case class IntervalInfo(resourceName: String, unavailabilityIndex: Int, isStart: Boolean, time: Int) - - unavailableByResource.map { case (resource,unavailables) => - val intervals = unavailables.map { case (key,value) => - val tokens = key.split( " " ) - val isStart = key.endsWith( "start" ) - val isEnd = key.endsWith( "end" ) - assert( isStart ^ isEnd ) - val resource = tokens.head + " " + tokens(1) - val unavailabilityIndex = tokens(2).toInt - val time = IAObjectiveFunction.intValue(value) - IntervalInfo(resource,unavailabilityIndex, isStart, time) - }.groupBy { ii => (ii.resourceName,ii.unavailabilityIndex) }.map { case (index,l) => - assert( l.size == 2 ) - val startTime = if( l(0).isStart ) l(0).time else l(1).time - val endTime = if( l(0).isStart ) l(1).time else l(0).time - Interval(startTime,endTime) - } - Resource(resource) -> intervals.toList + + unavailableByResource.map { + case (resource, unavailables) => + val intervals = unavailables.map { + case (key, value) => + val tokens = key.split(" ") + val isStart = key.endsWith("start") + val isEnd = key.endsWith("end") + assert(isStart ^ isEnd) + val resource = tokens.head + " " + tokens(1) + val unavailabilityIndex = tokens(2).toInt + val time = IAObjectiveFunction.intValue(value) + IntervalInfo(resource, unavailabilityIndex, isStart, time) + }.groupBy { ii => (ii.resourceName, ii.unavailabilityIndex) }.map { + case (index, l) => + assert(l.size == 2) + val startTime = if (l(0).isStart) l(0).time else l(1).time + val endTime = if (l(0).isStart) l(1).time else l(0).time + Interval(startTime, endTime) + } + Resource(resource) -> intervals.toList } } - + ///////////////////////////////// - + def makeTasks(recipes: Map[String, List[RecipeInfo]], resources: List[Resource], config: Configuration): Either[String, List[Task]] = { import IAObjectiveFunction.InstanceName - + val mutex = IAObjectiveFunction.parseMutexes(resources, config) def mkTask(instanceName: InstanceName, allocatedResource: Resource): Task = { // require( isCompatibleResource(recipes, resources)(infoName + in, allocatedResource) ) @@ -180,7 +185,7 @@ object OnaSingleObjectiveFunction { val compatible = IAObjectiveFunction.compatibleResources(info.name, recipes, resources) // val availability = Map() ++ compatible.map { r => r -> config.getObservableMetrics().get(r.id + " availability") } - compatible.find { r => IAObjectiveFunction.isResourceAvailable(r, config) } match { + compatible.find { r => IAObjectiveFunction.isResourceAvailable(r, config) } match { // case None => Left(s"${allocatedResource.id} is not available for task $instanceName (and no compatible alternative resource is available)") case None => Left(s"${allocatedResource.id} is not available for task $instanceName") // (compatible resources: ${compatible})") case Some(allocatedResource) => Right(mkTask(instanceName, allocatedResource)) @@ -190,24 +195,28 @@ object OnaSingleObjectiveFunction { } }).toList - def mkDummyTask(resource: Resource, dummyTaskIndex: Int, interval: Interval): Task = - Task.single( TaskId(s"resource ${resource.id} unavailable #$dummyTaskIndex"), - Map(resource -> interval.length), releaseTime = interval.lower, mutex ) + def mkDummyTask(resource: Resource, dummyTaskIndex: Int, interval: Interval): Task = + Task.single( + TaskId(s"resource ${resource.id} unavailable #$dummyTaskIndex"), + Map(resource -> interval.length), releaseTime = interval.lower, mutex + ) val resourceUnavailibilityIntervals = parseUnavailability(config) -// jeep.lang.Diag.println( resourceUnavailibilityIntervals.mkString( "\n" ) ) - val dummyTasks = resourceUnavailibilityIntervals.map { case (resource,intervals) => - intervals.zipWithIndex.map { case (interval,index) => - Right(mkDummyTask(resource,index,interval)) + // jeep.lang.Diag.println( resourceUnavailibilityIntervals.mkString( "\n" ) ) + val dummyTasks = resourceUnavailibilityIntervals.map { + case (resource, intervals) => + intervals.zipWithIndex.map { + case (interval, index) => + Right(mkDummyTask(resource, index, interval)) } } - -// jeep.lang.Diag.println( dummyTasks.flatten.toList.map { t => t.value.compatibleResources }.mkString("\n") ) -//jeep.lang.Diag.println( resourceUnavailibilityIntervals.size ) -//jeep.lang.Diag.println( s"#dummy tasks: ${dummyTasks.flatten.toList.size} ${dummyTasks.flatten.toList.mkString("[",",\n", "]")}" ) -// System.exit(0) + + // jeep.lang.Diag.println( dummyTasks.flatten.toList.map { t => t.value.compatibleResources }.mkString("\n") ) + //jeep.lang.Diag.println( resourceUnavailibilityIntervals.size ) + //jeep.lang.Diag.println( s"#dummy tasks: ${dummyTasks.flatten.toList.size} ${dummyTasks.flatten.toList.mkString("[",",\n", "]")}" ) + // System.exit(0) val tasks = tasksFromRecipes ++ dummyTasks.flatten.toList // .take(1) - + // if all tasks could be allocated to resources, return them in a list // otherwise, provide an descriptive string for the unallocated ones Either.cond( diff --git a/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/PlotOnaObjectiveFunction.java b/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/PlotOnaObjectiveFunction.java deleted file mode 100644 index 978fb09611ea82fca17577751c66f00682d3bc70..0000000000000000000000000000000000000000 --- a/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/PlotOnaObjectiveFunction.java +++ /dev/null @@ -1,55 +0,0 @@ -package uk.ac.york.safire.optimisation.mitm.atb; - -/******************************************************** -import java.util.Random; - -import org.junit.Test; - -import uk.ac.york.safire.metrics.Configuration; -import uk.ac.york.safire.metrics.ConfigurationType; -import uk.ac.york.safire.metrics.OptimisationResult; -import uk.ac.york.safire.metrics.Utility; -import uk.ac.york.safire.optimisation.ObjectiveFunction; -import uk.ac.york.safire.optimisation.mitm.atb.ATBSimulatorKafkaProducer; -import uk.ac.york.safire.optimisation.mitm.atb.OnaHardwiredConfigurationType; -import uk.ac.york.safire.optimisation.mitm.atb.OnaObjectiveFunction; -import static uk.ac.york.safire.optimisation.mitm.atb.OnaObjectiveFunction.*; -import uk.ac.york.safire.optimisation.mitm.atb.UoYEarlyPrototypeDemo; - -/////////////////////////////////// - -public class PlotOnaObjectiveFunction { - - public static void main(String [] args) { - - final Random rng = new java.util.Random(); // 0xDEADBEEF ); - - final int percentageAvailability = 80; - - final int JMAX =10; - - final int numOEInvocations = 1; - for( int i=0; i<numOEInvocations; ++i ) { - - for( int j=0; j<JMAX; ++j ) { - - OnaObjectiveFunction.W1_$eq( jeep.math.LinearInterpolation.apply(j, 0, JMAX - 1, 0.0, 1.0) ); - OnaObjectiveFunction.W2_$eq( 1.0 - OnaObjectiveFunction.W1() ); - - final ConfigurationType ct = OnaHardwiredConfigurationType.hardwiredConfigurationType(percentageAvailability, rng); - final Configuration config = Utility.randomConfiguration(ct, rng); - - final ObjectiveFunction.LocalObjectiveFunction of = new OnaObjectiveFunction(); - final int urgency = 50; - final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config,of,urgency,rng); - final Configuration finalConfig = or.getReconfigurations().get(0); - // jeep.lang.Diag.println( or.getReconfigurations().get(0).getKeyObjectives() ); - jeep.lang.Diag.println( ATBSimulatorKafkaProducer.getStatusString(finalConfig) ); - } - } - jeep.lang.Diag.println( new java.util.Date() ); - } -} -********************************************************/ - -// End /////////////////////////////////////////////////////////////// diff --git a/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/PreemptionIAObjectiveFunction.scala b/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/PreemptionIAObjectiveFunction.scala old mode 100644 new mode 100755 index 4faa6d02862a56a4f00f54d603c0365fe8cae2d7..88acc1dd3c29158eb0db2368aa4eacac41fc8fbf --- a/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/PreemptionIAObjectiveFunction.scala +++ b/src/main/scala/uk/ac/york/safire/optimisation/mitm/atb/PreemptionIAObjectiveFunction.scala @@ -25,42 +25,9 @@ class PreemptionIAObjectiveFunction(sequenceDependentTasks: java.util.List[Seque import uk.ac.york.safire.optimisation.ObjectiveFunction.Result - ///////////////////////////////// - override def predictKeyObjectives(originalConfig: Configuration, proposedControlMetrics: java.util.Map[String, Value]): Result = predictKeyObjectivesImpl(originalConfig, proposedControlMetrics) - ///////////////////////////////// - - // Some alternative priorities previously considered: - -// def compareAllenPrecedence(a: Task, b: Task): Int = { -// val aRb = a.relations.get(b.id) -// if (aRb == Some(IntervalRelation.PreceededGenerallyBy) || aRb == Some(IntervalRelation.PreceededImmediatelyBy)) -// -1 -// else { -// val bRa = b.relations.get(a.id) -// if (bRa == Some(IntervalRelation.PreceededGenerallyBy) || bRa == Some(IntervalRelation.PreceededImmediatelyBy)) -// 1 -// else -// 0 -// } -// } -// -// def compareByPrecedenceThenPriority(a: Task, b: Task): Int = { -// val cmp1 = compareAllenPrecedence(a, b) -// if (cmp1 == 0) java.lang.Double.compare(priority(a), priority(b)) else cmp1 -// } -// -// def compareByReleaseTimeThenPriority(a: Task, b: Task): Int = { -// val cmp1 = java.lang.Double.compare(a.releaseTime, b.releaseTime) -// if (cmp1 == 0) java.lang.Double.compare(priority(a), priority(b)) else cmp1 -// } - - // End -- Some alternative priorities previously considered: - - ///////////////////////////////// - private def predictKeyObjectivesImpl(originalConfig: Configuration, proposedControlMetrics: java.util.Map[String, Value]): Result = { import scala.collection.JavaConversions._ @@ -77,54 +44,64 @@ class PreemptionIAObjectiveFunction(sequenceDependentTasks: java.util.List[Seque def parentTaskPriority(t: Task): Int = IAObjectiveFunction.priority(PreemptionIAObjectiveFunction.parentTask(t.id).name, config) - + def preemptionPriorityIncrement(t: Task): Double = { val inc = PreemptionIAObjectiveFunction.preemptionPoint(t.id).get / 10000.0 (1.0 - inc) } - - def endUserPriority(t: Task): Double = - parentTaskPriority(t) + preemptionPriorityIncrement(t) - - // get permutation of priorities from controlled metrics: - val perm = PreemptionIAObjectiveFunction.searchBasedPriorityPermutation(config) - // jeep.lang.Diag.println( perm ) - - val tasksByEndUserPriority = tasks.groupBy { parentTaskPriority } - - val mapTaskToConsequtiveEndUserPriorityIndex = Map() ++ - tasksByEndUserPriority.toList.sortBy { _._1 - }.zipWithIndex.map { case ((userPriority,tasks),consequtive) => - tasks.map { t => t -> consequtive } }.flatten - - def searchBasedPriority(t: Task): Double = { - val endUserIndex = mapTaskToConsequtiveEndUserPriorityIndex(t) - perm(endUserIndex) + preemptionPriorityIncrement(t) + + def endUserPriority(t: Task): Double = { + val result = parentTaskPriority(t) + preemptionPriorityIncrement(t) + result } - // val taskQueue: PriorityQueue[Task] = PriorityQueue(tasks: _*)(Ordering.by { endUserPriority }) - val taskQueue: PriorityQueue[Task] = PriorityQueue(tasks: _*)(Ordering.by { searchBasedPriority }) - - // import scala.math.Ordering.comparatorToOrdering - // val taskQueue: PriorityQueue[Task] = PriorityQueue(tasks: _*) { compareByReleaseTimeThenPriority } - // jeep.lang.Diag.println("#tasks: " + taskQueue.length) - // jeep.lang.Diag.println("tasks: " + tasks.map { _.id } ) - // jeep.lang.Diag.println("queue: " + toList(taskQueue).map { _.id } ) - // jeep.lang.Diag.println("priorities: " + toList(taskQueue).map { t => (t.id, priority(t)) } ) - // System.exit(0) - // jeep.lang.Diag.println("priorities: " + taskQueue.map { priority }) + val taskQueue: PriorityQueue[Task] = PriorityQueue(tasks: _*)(Ordering.by { endUserPriority }) val sequenceDependentSetup = SequenceDependentTaskInfo.makeSequenceDependantSetup(sequenceDependentTasks) - scheduler.schedule(taskQueue, resources.toSet, sequenceDependentSetup) match { + + val unAvailableResources = config.getObservableMetrics.filter(c => c._1.contains(" unAvailabileTime ")).map(c => (c._1.split(" unAvailabileTime ").head, c._1.split(" unAvailabileTime ").last.split("_").toList)) + + val unAvailableTasks = unAvailableResources.map { + case (key, value) => + val resource = Resource(key + " UA") + + val unAvailableTaskOneLine = value.map { value => + val startTime = value.split(",").head.toInt + val endTime = value.split(",").last.toInt + val duration = endTime - startTime + + val taskId = key + " NotAvailble from " + startTime + " to " + endTime + + Task.apply( + TaskId(taskId), + Map(resource -> duration), + Map(), + releaseTime = startTime, 0, 0, 0, Map() + ) + } + unAvailableTaskOneLine + } + + val unAvailableTaskList = unAvailableTasks.toList.flatten + + scheduler.schedule(taskQueue, resources.toSet, sequenceDependentSetup, false, unAvailableTaskList) match { case None => new Result(config.getKeyObjectives, "Scheduler cannot find a valid schedule") case Some(schedule) => - // jeep.lang.Diag.println( schedule ) + val readableSchedule = schedule.byResource.filter(k => !k._1.id.contains("UA")) + + // println(schedule) + // println() + // val allTask = schedule.byResource.map { r => r._2 }.flatten.toList + // val small = allTask.filter(t => t._1.id.name.contains("small")).map(t => t._2).sortWith((c1, c2) => c1.lower < c2.lower) + // val medium = allTask.filter(t => t._1.id.name.contains("medium")).map(t => t._2).sortWith((c1, c2) => c1.lower < c2.lower) + // val large = allTask.filter(t => t._1.id.name.contains("large")).map(t => t._2).sortWith((c1, c2) => c1.lower < c2.lower) + // val newKeyObjectives = Map("makespan" -> // Value.realValue(makespan, config.getKeyObjectives().get("makespan").getType.asInstanceOf[ValueType.Real])) val newKeyObjectives = doUpdatedKeyObjectives(schedule, config) val reportStr = "Status: Succeeded.\n" + - PreemptionIAObjectiveFunction.toReportString(schedule, newKeyObjectives) + + PreemptionIAObjectiveFunction.toReportString(schedule, newKeyObjectives, config) + doReportStringSuffix(schedule, newKeyObjectives) new Result(newKeyObjectives, reportStr) } @@ -144,7 +121,7 @@ class PreemptionIAObjectiveFunction(sequenceDependentTasks: java.util.List[Seque // List(IAObjectiveFunction.doubleValue(value).asInstanceOf[java.lang.Double]) // } - ///////////////////////////////// + ///////////////////////////////// override def evaluate(args: ObjectiveFunctionArguments): Callable[ObjectiveFunctionResult] = new Callable[ObjectiveFunctionResult]() { @@ -168,14 +145,29 @@ class PreemptionIAObjectiveFunction(sequenceDependentTasks: java.util.List[Seque override def objectiveValues(result: Result): java.util.List[java.lang.Double] = { import scala.collection.JavaConversions._ - val cost = IAObjectiveFunction.doubleValue(result.keyObjectiveMetrics.get("totalcost")).asInstanceOf[java.lang.Double] - val makespan = IAObjectiveFunction.doubleValue(result.keyObjectiveMetrics.get("makespan")).asInstanceOf[java.lang.Double] - val userPreferenceViolations = IAObjectiveFunction.doubleValue(result.keyObjectiveMetrics.get("user preference violations")) - - // List(IAObjectiveFunction.doubleValue(result.keyObjectiveMetrics.get("totalcost")).asInstanceOf[java.lang.Double]) - // val xx = (OnaObjectiveFunction.W1*makespan)/(50*111917.3) + (OnaObjectiveFunction.W2*cost)/68616.1 - // val xx = (OnaObjectiveFunction.W1 * makespan) / (50 * 111917.3) + (OnaObjectiveFunction.W2 * cost) / 68616.1 - List[java.lang.Double](cost, makespan,userPreferenceViolations) + + val value = result.keyObjectiveMetrics.get("makespan") + val value1 = result.keyObjectiveMetrics.get("energy") + val value2 = result.keyObjectiveMetrics.get("montary") + val value3 = result.keyObjectiveMetrics.get("urgency") + + val visitor = new ValueVisitor.NumberVisitor() + val makespan: java.lang.Double = if (value != null) IAObjectiveFunction.doubleValue(value) else -1 + val energy: java.lang.Double = if (value1 != null) IAObjectiveFunction.doubleValue(value1) else -1 + val montary: java.lang.Double = if (value2 != null) IAObjectiveFunction.doubleValue(value2) else -1 + val urgency: java.lang.Double = if (value3 != null) IAObjectiveFunction.doubleValue(value3) else -1 + + val objectives = List(makespan) ++ List(energy) ++ List(montary) ++ List(urgency) + objectives.filter(o => o >= 0) + + // val cost = IAObjectiveFunction.doubleValue(result.keyObjectiveMetrics.get("totalcost")).asInstanceOf[java.lang.Double] + // val makespan = IAObjectiveFunction.doubleValue(result.keyObjectiveMetrics.get("makespan")).asInstanceOf[java.lang.Double] + // val userPreferenceViolations = IAObjectiveFunction.doubleValue(result.keyObjectiveMetrics.get("user preference violations")) + // + // // List(IAObjectiveFunction.doubleValue(result.keyObjectiveMetrics.get("totalcost")).asInstanceOf[java.lang.Double]) + // // val xx = (OnaObjectiveFunction.W1*makespan)/(50*111917.3) + (OnaObjectiveFunction.W2*cost)/68616.1 + // // val xx = (OnaObjectiveFunction.W1 * makespan) / (50 * 111917.3) + (OnaObjectiveFunction.W2 * cost) / 68616.1 + // List[java.lang.Double](cost, makespan, userPreferenceViolations) } ///////////////////////////////// @@ -196,48 +188,49 @@ class PreemptionIAObjectiveFunction(sequenceDependentTasks: java.util.List[Seque if (lo == -1 || hi == -1) taskId else { taskId.substring(0, lo) + taskId.substring(hi + 1, taskId.length) } } - val totalcost = (for ((resource, tasks) <- schedule.byResource; task <- tasks) yield { + val totalEnergy = (for ((resource, tasks) <- schedule.byResource; task <- tasks) yield { + task._1.energyCost; + }).sum + val totalMontary = (for ((resource, tasks) <- schedule.byResource; task <- tasks) yield { + task._1.montaryCost; + }).sum - val recipeAndResourceName = PreemptionIAObjectiveFunction.parentTask(task._1.id).name + " " + resource.id + val makespan = schedule.makespan - val cost = if (recipeAndResourceName.startsWith("idle")) { - //jeep.lang.Diag.println( recipeAndResourceName ) - //jeep.lang.Diag.println( prefix( recipeAndResourceName ) ) - sequenceDependentTasks.find { t => t.id + " " + t.resource == stripUid(recipeAndResourceName) }.map { _.cost } - } else { - val costValue = config.getObservableMetrics().get(recipeAndResourceName + " cost") - if (costValue == null) None else Some(IAObjectiveFunction.doubleValue(costValue)) - } - if (!cost.isDefined) - jeep.lang.Diag.println(s"WARNING: cannot find cost for ${recipeAndResourceName}") - cost - }).flatten.sum + val tasksFlatten = schedule.byResource.values.flatten.toList.filter(ft => ft._1.isFinal == 1).sortWith((c1, c2) => c1._2.upper.compareTo(c2._2.upper) < 0).reverse - /////////////////////////////// - - def numDescents(perm: List[Int]): Int = - perm.zip(perm.tail).count { case (permi, permiplusone) => permi > permiplusone } - - // get permutation of priorities from controlled metrics: - val perm = PreemptionIAObjectiveFunction.searchBasedPriorityPermutation(config) - val userPreferenceViolations = numDescents(perm) - - val makespan = schedule.makespan - - /////////////////////////////// + val productUrgency = config.getObservableMetrics.filter(c => c._1.contains("urgency")).keys.toList.sortBy(c => c.split(" ").last.toInt); + val productName = productUrgency.map(c => c.split(" ")(0)) + + val finalOrders = productName.map { n => + tasksFlatten.find(t => t._1.id.name.contains(n)).get + }.sortWith((c1, c2) => c1._2.upper.compareTo(c2._2.upper) < 0).map(t => t._1.id.name.split(" ")(0)) + + val urgencyVoliate = finalOrders.map(p => productName(finalOrders.indexOf(p)).equals(p)).filter(b => !b) - Map( - "totalcost" -> Value.realValue(totalcost, ValueType.realType(0.0, Double.MaxValue)), + val objectiveMap = Map( "makespan" -> Value.realValue(makespan, config.getKeyObjectives().get("makespan").getType.asInstanceOf[ValueType.Real]), - "user preference violations" -> Value.intValue(userPreferenceViolations, ValueType.intType(0, Integer.MAX_VALUE)) + "energy" -> Value.realValue(totalEnergy, ValueType.realType(0.0, Double.MaxValue)), + "montary" -> Value.realValue(totalMontary, ValueType.realType(0.0, Double.MaxValue)), + "urgency" -> Value.realValue(urgencyVoliate.size, ValueType.realType(0.0, Double.MaxValue)) ) + + val oldObjectives = config.getKeyObjectives; + + val newObjectives = Map() ++ oldObjectives.map { + case (key, value) => + val valueNew = objectiveMap.get(key).get; + + (key, valueNew) + } + + newObjectives } ///////////////////////////////// protected def doReportStringSuffix(s: Schedule, newKeyObjectives: Map[String, Value]): String = { - s"\nmakespan: ${new jeep.util.HMS(s.makespan)}\n" ++ - s"\ncost: ${IAObjectiveFunction.doubleValue(newKeyObjectives("totalcost"))}\n" + s"\nmakespan: ${new jeep.util.HMS(s.makespan)}\n" } } @@ -247,10 +240,10 @@ object PreemptionIAObjectiveFunction { import IAObjectiveFunction.{ InstanceName => InstanceName } - // Drop the "preempt N" suffix from synthetic 'preempt' tasks: + // Drop the "preempt N" suffix from synthetic 'preempt' tasks: def parentTask(tid: TaskId): TaskId = if (tid.name.contains("preempt")) - TaskId(tid.name.split(" ").dropRight(2).mkString(" ")) + TaskId(tid.name.split(" ").dropRight(4).mkString(" ")) else tid @@ -260,8 +253,8 @@ object PreemptionIAObjectiveFunction { else None - ///////////////////////////////// - + ///////////////////////////////// + def searchBasedPriorityPermutation(config: Configuration): List[Int] = { val priorityPermutationIndex = config.getControlledMetrics().get("priority-permutation-index") val upperBound = new ValueTypeVisitor.NumberRangeVisitor().visit(priorityPermutationIndex.getType()).getRight.intValue() @@ -270,33 +263,33 @@ object PreemptionIAObjectiveFunction { val perm = ComeauBijectivePermutationHash.permutationOfIndex(index, n) perm.toList } - - ///////////////////////////////// - - def preemptionPoints(instanceName: InstanceName, allocatedResource: Resource, config: Configuration): Int = { - val recipeAndResourceNamePrefix = instanceName + " " + allocatedResource.id - val value = config.getObservableMetrics().get(recipeAndResourceNamePrefix + " preemption-points") - if (value == null) - jeep.lang.Diag.println("No preemption-points for " + recipeAndResourceNamePrefix) + ///////////////////////////////// - IAObjectiveFunction.intValue(config.getObservableMetrics().get(recipeAndResourceNamePrefix + " preemption-points")) - } + // def preemptionPoints(instanceName: InstanceName, allocatedResource: Resource, config: Configuration): Int = { + // + // val recipeAndResourceNamePrefix = instanceName + " " + allocatedResource.id + // val value = config.getObservableMetrics().get(recipeAndResourceNamePrefix + " preemption-points") + // if (value == null) + // jeep.lang.Diag.println("No preemption-points for " + recipeAndResourceNamePrefix) + // + // IAObjectiveFunction.intValue(config.getObservableMetrics().get(recipeAndResourceNamePrefix + " preemption-points")) + // } - ///////////////////////////////// + ///////////////////////////////// def makeTasks(recipes: Map[String, List[RecipeInfo]], resources: List[Resource], config: Configuration): Either[String, List[Task]] = { - val mutex = IAObjectiveFunction.parseMutexes(resources, config) + val mutex = IAObjectiveFunction.parseMutexesONA(resources, config) // def mkTask(instanceName: InstanceName, allocatedResource: Resource, preemptionPointIndex: Int, numPreemptionPoints: Int): Task = { - // // require( isCompatibleResource(recipes, resources)(infoName + in, allocatedResource) ) + // // require( isCompatibleResource(recipes, resources)(infoName + in, allocatedResource) ) // val executionInterval = IAObjectiveFunction.interval(instanceName, allocatedResource, config) - // val startTime = jeep.math.LinearInterpolation.apply(preemptionPointIndex, + // val startTime = jeep.math.LinearInterpolation.apply(preemptionPointIndex, // 0, numPreemptionPoints-1, executionInterval.lower(), executionInterval.upper() ) - // - // val executionLength = executionInterval.length / numPreemptionPoints - // + // + // val executionLength = executionInterval.length / numPreemptionPoints + // // Task.single( // TaskId(instanceName.toString()), // Map(allocatedResource -> executionLength), @@ -307,35 +300,95 @@ object PreemptionIAObjectiveFunction { // def sequenceDependentSetup: resource: Resource, last: Task, next: Task => Option[Task] - def mkPreemptionTaskList(instanceName: InstanceName, allocatedResource: Resource, numPreemptionPoints: Int): List[Task] = { + def mkPreemptionTaskList(instanceName: InstanceName, allocatedResource: Resource): List[Task] = { - val overallExecutionInterval = IAObjectiveFunction.interval(instanceName, allocatedResource, config) - val individualExecutionTime = overallExecutionInterval.length / numPreemptionPoints + import scala.collection.JavaConversions._ + import uk.ac.york.safire.metrics.ValueVisitor + import uk.ac.york.safire.metrics._ - val tasks = (0 until numPreemptionPoints).map { preemptionPointIndex => + val result = Map() ++ config.getObservableMetrics() + val result1 = result.filter { + case (name, value) => /*name.contains(instanceName) &&*/ name.contains(instanceName + " " + allocatedResource.id) && !name.contains(" mutex ") && !name.contains("availability") + } - def mkTaskId(preemptionPoint: Int) = TaskId(instanceName.toString() + " preempt " + preemptionPoint) + val res_test = result.filter { + case (name, value) => name.contains(instanceName) && !name.contains(" mutex ") && !name.contains("availability") + } + + val taskStart = result1.filter { + case (name, value) => name.contains("start") + } + + val taskEnd = result1.filter { + case (name, value) => name.contains("end") + } + + val taskEnergy = result1.filter { + case (name, value) => name.contains("energy") + } + + val taskMontary = result1.filter { + case (name, value) => name.contains("montary") + } + + val executionRelationRaw = result1.filter { + case (name, value) => name.contains("executedAfter") + } + + val executionRelation = executionRelationRaw.map { + case (name, value) => + val toArray = name.split(" executedAfter ") + (toArray(1), toArray(0)) + } + + val taskNames = taskStart.map(f => f._1.split(" ").dropRight(1).mkString(" ")).toList.sorted + + val tasks = taskNames.map { name => + val taskId = TaskId(name) + + def intValue(value: Value): Int = + new ValueVisitor.NumberVisitor().visit(value).intValue() + + val endTime = intValue(taskEnd.filter(t => t._1.contains(name)).head._2) + val startTime = intValue(taskStart.filter(t => t._1.contains(name)).head._2) + val energyCost = intValue(taskEnergy.filter(t => t._1.contains(name)).head._2) + val montaryCost = intValue(taskMontary.filter(t => t._1.contains(name)).head._2) + + val taskExecutedBeforeMap = executionRelation.filter { r => r._2.equals(name) } + val isFinal = executionRelation.filter { r => r._1.equals(name) } + + if (taskExecutedBeforeMap.size > 1) { + println("ERROR: Task execution map size bigger than 1 after filter"); + } + + if (taskExecutedBeforeMap.size > 0) { + if (isFinal.size == 0) { + Task.apply( + taskId, + Map(allocatedResource -> endTime), + Map(TaskId(taskExecutedBeforeMap.last._1) -> IntervalRelation.PreceededGenerallyBy), + releaseTime = startTime, energyCost, montaryCost, 1, mutex + ) + } else { + Task.apply( + taskId, + Map(allocatedResource -> endTime), + Map(TaskId(taskExecutedBeforeMap.last._1) -> IntervalRelation.PreceededGenerallyBy), + releaseTime = startTime, energyCost, montaryCost, 0, mutex + ) + } - if (preemptionPointIndex == 0) { - Task.single( - mkTaskId(preemptionPointIndex), - Map(allocatedResource -> individualExecutionTime), - releaseTime = overallExecutionInterval.lower, - mutex - ) } else { - val t = Task.apply( - mkTaskId(preemptionPointIndex), - Map(allocatedResource -> individualExecutionTime), - relations = Map(mkTaskId(preemptionPointIndex - 1) -> IntervalRelation.PreceededGenerallyBy), - releaseTime = jeep.math.LinearInterpolation.apply(preemptionPointIndex, 0, numPreemptionPoints - 1, overallExecutionInterval.lower, overallExecutionInterval.upper - individualExecutionTime).toInt, - mutex - ) // , antiAffinityMap, finalProduct) - // jeep.lang.Diag.println( s"generalPredecessors: " + t.id + ": " + t.generalPredecessors ) - t + Task.apply( + taskId, + Map(allocatedResource -> endTime), + Map(), + releaseTime = startTime, energyCost, montaryCost, 0, mutex + ) } + } - tasks.toList + tasks } val tasks = (for ((recipeName, infos) <- recipes; info <- infos; instanceId <- 0 until info.instances) yield { @@ -344,30 +397,9 @@ object PreemptionIAObjectiveFunction { val allocatedResource = IAObjectiveFunction.allocation(instanceName, config) val allocationAvailable = IAObjectiveFunction.isResourceAvailable(allocatedResource, config) if (!allocationAvailable) { - - val compatible = IAObjectiveFunction.compatibleResources(info.name, recipes, resources) - val availability = Map() ++ compatible.map { r => r -> config.getObservableMetrics().get(r.id + " availability") } - compatible.find { r => IAObjectiveFunction.isResourceAvailable(r, config) } match { - // case None => Left(s"${allocatedResource.id} is not available for task $instanceName (and no compatible alternative resource is available)") - case None => Left(s"${allocatedResource.id} is not available for task $instanceName") // (compatible resources: ${compatible})") - case Some(allocatedResource) => { - val numPreemptionPoints = preemptionPoints(instanceName, allocatedResource, config) - - // val tasks = (0 until numPreemptionPoints).map { preemptionPointIndex => - // mkTask(instanceName, allocatedResource,preemptionPointIndex,numPreemptionPoints) - // } - Right(mkPreemptionTaskList(instanceName, allocatedResource, numPreemptionPoints)) - // Right(mkTask(instanceName, allocatedResource)) - } - } + Left(s"${allocatedResource.id} is not available for task $instanceName") } else { - val numPreemptionPoints = preemptionPoints(instanceName, allocatedResource, config) - // val tasks = (0 until numPreemptionPoints).map { preemptionPointIndex => - // mkTask(instanceName, allocatedResource,preemptionPointIndex,numPreemptionPoints) - // } - // Right(mkTask(instanceName, allocatedResource)) - // Right(tasks) - Right(mkPreemptionTaskList(instanceName, allocatedResource, numPreemptionPoints)) + Right(mkPreemptionTaskList(instanceName, allocatedResource)) } }).toList @@ -381,8 +413,7 @@ object PreemptionIAObjectiveFunction { } ///////////////////////////////// - - def toReportString(s: Schedule, newKeyObjectives: Map[String, Value]): String = { + def toReportString(s: Schedule, newKeyObjectives: Map[String, Value], config: Configuration): String = { // object oasProductReporter extends ProductReporter { // override def apply(r: Resource, schedule: List[(Task, Interval)]): Option[Product] = @@ -393,7 +424,7 @@ object PreemptionIAObjectiveFunction { // val now = org.joda.time.DateTime.now() // def toJodaInterval(i: Interval) = { // val start: org.joda.time.ReadableInstant = now.plus(org.joda.time.Seconds.seconds(i.lower)) - // val duration: org.joda.time.ReadableDuration = org.joda.time.Duration.standardSeconds(i.length) + // val duration: org.joda.time.ReadableDuration = org.joda.time.Duration.standardSeconds(i.length) // new org.joda.time.Interval(start,duration) // } @@ -434,10 +465,10 @@ object PreemptionIAObjectiveFunction { (task, interval) }) } - // (task,toTimeString(interval)) } ) } + // (task,toTimeString(interval)) } ) } // import scala.collection.JavaConverters._ - // val typeOfMap=new com.google.gson.reflect.TypeToken[java.util.Map[String,java.util.List[ org.apache.commons.lang3.tuple.Pair[ String, org.apache.commons.lang3.tuple.Pair[ LocalDateTime, LocalDateTime ] ] ] ] ](){}.getType() + // val typeOfMap=new com.google.gson.reflect.TypeToken[java.util.Map[String,java.util.List[ org.apache.commons.lang3.tuple.Pair[ String, org.apache.commons.lang3.tuple.Pair[ LocalDateTime, LocalDateTime ] ] ] ] ](){}.getType() // new JsonConverter().toJson(m.asJava,typeOfMap) // new JsonConverter().toJson(m.asJava) @@ -448,6 +479,176 @@ object PreemptionIAObjectiveFunction { result } + + def toReportStringELE(s: Schedule, newKeyObjectives: Map[String, Value], config: Configuration): String = { + + import java.time._ + val now = java.time.LocalDateTime.now() + + val cmp = new java.util.Comparator[Interval]() { + override def compare(a: Interval, b: Interval): Int = + a.lower - b.lower + } + + val ByResourceProcessed = s.byResource.map { + r => + val taskList = r._2.filter(t => t._1.isFinal == 1) + + (r._1, taskList) + } + + val m = ByResourceProcessed.map { + case (resource, assignments) => + resource.id -> assignments.map { + case (task, interval) => + (task, interval) + } + }.map { + case (resource, tasks) => + (resource, tasks.sortWith { + case (a, b) => + cmp.compare(a._2, b._2) <= 0 + }) + }.map { + case (resource, tasks) => (resource, tasks.map { + case (task, interval) => + (task, interval) + }) + } + + val startTasks = s.byResource.map { + r => + val taskList = r._2.filter(t => t._1.isFinal == 0) + + taskList + }.flatten + + val endTasks = m.map(r => r._2).flatten + + val result = endTasks.map { t => + val task = t._1 + val taskNameForSearch = t._1.id.name.split("_").head + + val startTask = startTasks.find(t => t._1.id.name.contains(taskNameForSearch)) + val startTime = if (startTask.isEmpty) t._2.lower else startTask.head._2.lower + val endTime = t._2.upper + + val start = now.plusSeconds(startTime * 60) + // val duration = Duration.ofSeconds((endTime - startTime) * 60) + val end = start.plusSeconds((endTime - startTime) * 60) + val fmt = java.time.format.DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss.SSS") + + val taskName = t._1.id.name.split("_").head.split(" ").dropRight(1).mkString(" ") + val instanceNumber = t._1.id.name.split("_").head.split(" ").last + val diviceNameRaw = t._1.resourceExecutionTime.head._1.id + val diviceName = diviceNameRaw.split(" ").toList.map(s => s.replaceAll("\\(", "").replaceAll("\\)", "")).mkString("-"); + // val diviceID = diviceNameRaw.split(" ").toList.map(s=>s.filter(_.isDigit)).mkString("-"); + + val deviceNameOut = if (diviceName.split("-").size == 2) "CookingZone" else "Bridge"; //"Bridge" + val diviceID = if (diviceName.split("-").size == 2) diviceName.split("-").head.last + "" else { if (diviceName.split("-").head.last == '1') "1" else "2" } + val potNameRaw = diviceName.split("-").last + val potName = potNameRaw.dropRight(1) + " " + potNameRaw.last + + val year = now.getYear() + val month = now.getMonthValue() + val day = now.getDayOfMonth() + val startStamp = start.format(fmt) + val endStamp = end.format(fmt) + val prodcutName = taskName.split(" ").dropRight(1).mkString(" ") + val recipeType = taskName.split(" ").last + val amountProduced = IAObjectiveFunction.intValue(config.getObservableMetrics.get(taskName + " amount produced")) + val deviceID = diviceID; + val device = deviceNameOut + " " + deviceID; + val availability = 1 + + // println("device Name: " + diviceNameRaw + " we have: " + device); + + year + "_" + month + "_" + day + "_" + startStamp + "_" + endStamp + "_" + prodcutName + "_" + recipeType + "_" + instanceNumber + "_" + amountProduced + "_" + deviceID + "_" + device + "_" + availability + "_" + potName + "_" + 1 + }.mkString("\n") + + result + } + + def toReportStringOAS(s: Schedule, newKeyObjectives: Map[String, Value], config: Configuration): String = { + + import java.time._ + val now = java.time.LocalDateTime.now() + + val cmp = new java.util.Comparator[Interval]() { + override def compare(a: Interval, b: Interval): Int = + a.lower - b.lower + } + + val ByResourceProcessed = s.byResource.map { + r => + val taskList = r._2.filter(t => t._1.isFinal == 1) + + (r._1, taskList) + } + + val m = ByResourceProcessed.map { + case (resource, assignments) => + resource.id -> assignments.map { + case (task, interval) => + (task, interval) + } + }.map { + case (resource, tasks) => + (resource, tasks.sortWith { + case (a, b) => + cmp.compare(a._2, b._2) <= 0 + }) + }.map { + case (resource, tasks) => (resource, tasks.map { + case (task, interval) => + (task, interval) + }) + } + + val startTasks = s.byResource.map { + r => + val taskList = r._2.filter(t => t._1.id.name.contains("silo") && !t._1.id.name.contains("DependentSetUp")) + + taskList + }.flatten + + val endTasks = m.map(r => r._2).flatten + + val result = endTasks.map { t => + val task = t._1 + val taskNameForSearch = t._1.id.name.split("_").head + + val startTime = startTasks.find(t => t._1.id.name.contains(taskNameForSearch)).head._2.upper + val endTime = t._2.upper + + val start = now.plusSeconds(startTime * 60) + // val duration = Duration.ofSeconds((endTime - startTime) * 60) + val end = start.plusSeconds((endTime - startTime) * 60) + val fmt = java.time.format.DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss.SSS") + + val taskName = t._1.id.name.split("_").head.split(" ").dropRight(1).mkString(" ") + val instanceNumber = t._1.id.name.split("_").head.split(" ").last + val diviceNameRaw = t._1.resourceExecutionTime.head._1.id.split(" ").drop(1).head + val diviceName = diviceNameRaw.split("\\(").head + val diviceID = diviceNameRaw.split("\\(").last.split("\\)").head + + val year = now.getYear() + val month = now.getMonthValue() + val day = now.getDayOfMonth() + val startStamp = start.format(fmt) + val endStamp = end.format(fmt) + val prodcutName = taskName.split(" ").dropRight(1).mkString(" ") + val recipeType = taskName.split(" ").last + val amountProduced = IAObjectiveFunction.intValue(config.getObservableMetrics.get(taskName + " amount produced")) + val deviceID = diviceID + val device = diviceName + " " + deviceID + val availability = 1 + + year + "_" + month + "_" + day + "_" + startStamp + "_" + endStamp + "_" + prodcutName + "_" + recipeType + "_" + instanceNumber + "_" + amountProduced + "_" + deviceID + "_" + device + "_" + availability + }.mkString("\n") + + result + } } // End /////////////////////////////////////////////////////////////// diff --git a/src/test/java/uk/ac/york/aura/TestEA.java b/src/test/java/uk/ac/york/aura/TestEA.java index 41573e7d5609ca23ed534a1a121eaab518b9cdc2..9e4f7e8f8e4aa5cdb8adde44a021c4c26b143514 100644 --- a/src/test/java/uk/ac/york/aura/TestEA.java +++ b/src/test/java/uk/ac/york/aura/TestEA.java @@ -1,103 +1,110 @@ -package uk.ac.york.aura; - -import java.util.*; -import java.util.function.BiFunction; -import java.util.function.Function; -import java.util.function.Predicate; -import java.util.function.ToDoubleFunction; -import java.util.stream.Collectors; - -import org.apache.commons.math3.stat.StatUtils; -import org.apache.commons.math3.util.Pair; -import org.junit.Test; - -import com.google.common.collect.ImmutableList; -import com.google.common.primitives.Doubles; - -import uk.ac.york.aura.EA; -import uk.ac.york.aura.Operators; -import uk.ac.york.aura.PopulationEntry; -import uk.ac.york.safire.metrics.*; -import uk.ac.york.safire.optimisation.ObjectiveFunction; - -/////////////////////////////////// - -public final class TestEA { - - public static ConfigurationType - onemaxConfigurationType(int numBits) { - final List< KeyObjectiveType > keyObjectiveMetricTypes = ImmutableList.of( - new KeyObjectiveType( "ones", ValueType.realType( 0, Integer.MAX_VALUE ), "scalar", SearchDirection.MAXIMIZING ) - ); - - final List< ControlledMetricType > controlledMetricTypes = new ArrayList<>(); - for( int i=0; i<numBits; ++i ) - controlledMetricTypes.add( new ControlledMetricType( "bit " + i, ValueType.intType( 0, 1 ), "scalar" ) ); - - final List< ObservableMetricType > observableMetricTypes = ImmutableList.of(); - - return new ConfigurationType.Explicit(keyObjectiveMetricTypes,controlledMetricTypes,observableMetricTypes); - } - - /////////////////////////////// - - @Test - public void testOnemax() { - - final int populationSize = 100; - final Random rng = new java.util.Random(0xDEADBEEF); - final int numBits = 32; - final int maxIterations = 1000; - - /////////////////////////// - - final ConfigurationType ct = onemaxConfigurationType(numBits); - - final List< Configuration > initialPopulation = Operators.initialPopulation(populationSize, ct, rng); - - final ObjectiveFunction.LocalObjectiveFunction of = new ObjectiveFunction.LocalObjectiveFunction() { - - @Override - public Result predictKeyObjectives(Configuration current, Map<String, Value> proposedControlMetrics) { - final Value trueValue = Value.intValue(1, ValueType.intType(0, 1)); - final long setBits = proposedControlMetrics.entrySet().stream().filter( e -> e.getKey().contains("bit") && e.getValue().equals( trueValue ) ).count(); - final Map< String, Value > keyObjectives = new HashMap<>(); - keyObjectives.put( "ones", Value.realValue(setBits, ValueType.realType(0, Integer.MAX_VALUE)) ); - return new Result(keyObjectives, "Status: OK"); - } - - @Override - public List<Double> objectiveValues(Result result) { - final double value = new ValueVisitor.NumberVisitor().visit( result.keyObjectiveMetrics.get("ones") ).doubleValue(); - return Doubles.asList( value ); - } - - @Override - public int numObjectives() { return 1; } - - }; - - /////////////////////////// - - final Comparator< List< Double > > compareMultiObjective = Operators.compareMultiObjective(SearchDirection.MAXIMIZING); - final BiFunction< List< PopulationEntry >, Random, PopulationEntry > select = Operators.proportionalSelection; - final BiFunction< Configuration, Configuration, Configuration > crossover = Operators.onePointCrossover(rng); - final Function< Configuration, Configuration > mutation = Operators.uniformMutation(rng); - - final Predicate< List< List< PopulationEntry > > - > isFinished = Operators.maxIterTermination(maxIterations); - - final Pair< List< PopulationEntry >, PopulationEntry > p = EA.apply(initialPopulation, - of, - compareMultiObjective, - select, - crossover, - mutation, - isFinished, rng ); - - jeep.lang.Diag.println(p.getSecond()); - jeep.lang.Diag.println(p.getSecond().getObjectives()); - } -} - -// End /////////////////////////////////////////////////////////////// +package uk.ac.york.aura; + +import java.util.ArrayList; +import java.util.Comparator; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Random; +import java.util.function.BiFunction; +import java.util.function.Function; +import java.util.function.Predicate; + +import org.apache.commons.math3.util.Pair; +import org.junit.Test; + +import com.google.common.collect.ImmutableList; +import com.google.common.primitives.Doubles; + +import uk.ac.york.safire.metrics.Configuration; +import uk.ac.york.safire.metrics.ConfigurationType; +import uk.ac.york.safire.metrics.ControlledMetricType; +import uk.ac.york.safire.metrics.KeyObjectiveType; +import uk.ac.york.safire.metrics.ObservableMetricType; +import uk.ac.york.safire.metrics.SearchDirection; +import uk.ac.york.safire.metrics.Value; +import uk.ac.york.safire.metrics.ValueType; +import uk.ac.york.safire.metrics.ValueVisitor; +import uk.ac.york.safire.optimisation.ObjectiveFunction; + +/////////////////////////////////// + +public final class TestEA { + + public static ConfigurationType + onemaxConfigurationType(int numBits) { + final List< KeyObjectiveType > keyObjectiveMetricTypes = ImmutableList.of( + new KeyObjectiveType( "ones", ValueType.realType( 0, Integer.MAX_VALUE ), "scalar", SearchDirection.MAXIMIZING ) + ); + + final List< ControlledMetricType > controlledMetricTypes = new ArrayList<>(); + for( int i=0; i<numBits; ++i ) + controlledMetricTypes.add( new ControlledMetricType( "bit " + i, ValueType.intType( 0, 1 ), "scalar" ) ); + + final List< ObservableMetricType > observableMetricTypes = ImmutableList.of(); + + return new ConfigurationType.Explicit(keyObjectiveMetricTypes,controlledMetricTypes,observableMetricTypes); + } + + /////////////////////////////// + + @Test + public void testOnemax() { + + final int populationSize = 100; + final Random rng = new java.util.Random(0xDEADBEEF); + final int numBits = 32; + final int maxIterations = 1000; + + /////////////////////////// + + final ConfigurationType ct = onemaxConfigurationType(numBits); + + final List< Configuration > initialPopulation = Operators.initialPopulation(populationSize, ct, rng); + + final ObjectiveFunction.LocalObjectiveFunction of = new ObjectiveFunction.LocalObjectiveFunction() { + + @Override + public Result predictKeyObjectives(Configuration current, Map<String, Value> proposedControlMetrics) { + final Value trueValue = Value.intValue(1, ValueType.intType(0, 1)); + final long setBits = proposedControlMetrics.entrySet().stream().filter( e -> e.getKey().contains("bit") && e.getValue().equals( trueValue ) ).count(); + final Map< String, Value > keyObjectives = new HashMap<>(); + keyObjectives.put( "ones", Value.realValue(setBits, ValueType.realType(0, Integer.MAX_VALUE)) ); + return new Result(keyObjectives, "Status: OK"); + } + + @Override + public List<Double> objectiveValues(Result result) { + final double value = new ValueVisitor.NumberVisitor().visit( result.keyObjectiveMetrics.get("ones") ).doubleValue(); + return Doubles.asList( value ); + } + + @Override + public int numObjectives() { return 1; } + + }; + + /////////////////////////// + + final Comparator< List< Double > > compareMultiObjective = Operators.compareMultiObjective(SearchDirection.MAXIMIZING); + final BiFunction< List< PopulationEntry >, Random, PopulationEntry > select = Operators.proportionalSelection; + final BiFunction< Configuration, Configuration, Configuration > crossover = Operators.onePointCrossover(rng); + final Function< Configuration, Configuration > mutation = Operators.uniformMutation(rng); + + final Predicate< List< List< PopulationEntry > > + > isFinished = Operators.maxIterTermination(maxIterations); + + final Pair< List< PopulationEntry >, PopulationEntry > p = EA.apply(initialPopulation, + of, + compareMultiObjective, + select, + crossover, + mutation, + isFinished, rng ); + + jeep.lang.Diag.println(p.getSecond()); + jeep.lang.Diag.println(p.getSecond().getObjectives()); + } +} + +// End /////////////////////////////////////////////////////////////// diff --git a/src/test/java/uk/ac/york/aura/TestIntStream.java b/src/test/java/uk/ac/york/aura/TestIntStream.java index 7aef9dc415ac872cf2bdc9b06f24e18a9b3354db..84e066e7724ce4cc70ca4cfc6ad6f960c9e7f85e 100644 --- a/src/test/java/uk/ac/york/aura/TestIntStream.java +++ b/src/test/java/uk/ac/york/aura/TestIntStream.java @@ -1,23 +1,23 @@ -package uk.ac.york.aura; - -import java.util.ArrayList; -import java.util.List; -import java.util.stream.IntStream; - -public class TestIntStream { - - public static void main( String [] args ) { - - int n = 100; - List< Integer > l = new ArrayList<>(); - IntStream.range(0, n).parallel().forEach( i -> { - l.add(i); - } ); - - assert( l.size() == n ); - - } -} - - -// End /////////////////////////////////////////////////////////////// +package uk.ac.york.aura; + +import java.util.ArrayList; +import java.util.List; +import java.util.stream.IntStream; + +public class TestIntStream { + + public static void main( String [] args ) { + + int n = 100; + List< Integer > l = new ArrayList<>(); + IntStream.range(0, n).parallel().forEach( i -> { + l.add(i); + } ); + + assert( l.size() == n ); + + } +} + + +// End /////////////////////////////////////////////////////////////// diff --git a/src/test/java/uk/ac/york/aura/TestNSGA2.java b/src/test/java/uk/ac/york/aura/TestNSGA2.java index c02a55756b7dea7c214907e29b6a4a1037b3b162..bec0649fd54b5b1775a82b532b28db0149cd182a 100644 --- a/src/test/java/uk/ac/york/aura/TestNSGA2.java +++ b/src/test/java/uk/ac/york/aura/TestNSGA2.java @@ -1,244 +1,241 @@ -package uk.ac.york.aura; - -import static org.junit.Assert.assertArrayEquals; -import static org.junit.Assert.assertFalse; -import static org.junit.Assert.assertTrue; - -import java.util.ArrayList; -import java.util.Arrays; -import java.util.Comparator; -import java.util.HashMap; -import java.util.List; -import java.util.Map; -import java.util.Random; -import java.util.function.BiFunction; -import java.util.function.Function; -import java.util.function.Predicate; -import java.util.stream.Collectors; - -import org.apache.commons.math3.util.Pair; -import org.junit.Test; - -import com.google.common.collect.ImmutableList; -import com.google.common.primitives.Doubles; - -import uk.ac.york.aura.NSGA2; -import uk.ac.york.aura.Operators; -import uk.ac.york.aura.PopulationEntry; -import uk.ac.york.safire.metrics.Configuration; -import uk.ac.york.safire.metrics.ConfigurationType; -import uk.ac.york.safire.metrics.ControlledMetricType; -import uk.ac.york.safire.metrics.KeyObjectiveType; -import uk.ac.york.safire.metrics.ObservableMetricType; -import uk.ac.york.safire.metrics.SearchDirection; -import uk.ac.york.safire.metrics.Value; -import uk.ac.york.safire.metrics.ValueType; -import uk.ac.york.safire.metrics.ValueVisitor; -import uk.ac.york.safire.optimisation.ObjectiveFunction; - -/////////////////////////////////// - -public final class TestNSGA2 { - - @Test - public void testParetoDominates() { - assertTrue( NSGA2.paretoDominates( Doubles.asList(0.0), Doubles.asList(1.0), SearchDirection.MINIMIZING )); - assertFalse( NSGA2.paretoDominates( Doubles.asList(1.0), Doubles.asList(0.0), SearchDirection.MINIMIZING )); - assertTrue( NSGA2.paretoDominates( Doubles.asList(1.0), Doubles.asList(0.0), SearchDirection.MAXIMIZING )); - assertFalse( NSGA2.paretoDominates( Doubles.asList(0.0), Doubles.asList(1.0), SearchDirection.MAXIMIZING )); - - assertTrue( NSGA2.paretoDominates( Doubles.asList(0.0,0.0), Doubles.asList(0.0,1.0), SearchDirection.MINIMIZING )); - assertTrue( NSGA2.paretoDominates( Doubles.asList(0.0,0.0), Doubles.asList(1.0,1.0), SearchDirection.MINIMIZING )); - assertTrue( NSGA2.paretoDominates( Doubles.asList(0.0,0.0), Doubles.asList(1.0,0.0), SearchDirection.MINIMIZING )); - - - assertFalse( NSGA2.paretoDominates( Doubles.asList(0.0,1.0), Doubles.asList(0.0,0.0), SearchDirection.MINIMIZING )); - assertFalse( NSGA2.paretoDominates( Doubles.asList(1.0,1.0), Doubles.asList(0.0,0.0), SearchDirection.MINIMIZING )); - assertFalse( NSGA2.paretoDominates( Doubles.asList(1.0,0.0), Doubles.asList(0.0,0.0), SearchDirection.MINIMIZING )); - - assertFalse( NSGA2.paretoDominates( Doubles.asList(0.0,0.0), Doubles.asList(0.0,1.0), SearchDirection.MAXIMIZING )); - assertFalse( NSGA2.paretoDominates( Doubles.asList(0.0,0.0), Doubles.asList(1.0,1.0), SearchDirection.MAXIMIZING )); - assertFalse( NSGA2.paretoDominates( Doubles.asList(0.0,0.0), Doubles.asList(1.0,0.0), SearchDirection.MAXIMIZING )); - - assertFalse( NSGA2.paretoDominates( Doubles.asList(0.66879439607494, 0.22736165743227382), Doubles.asList(0.42645325162547487, 5.286351146774817), SearchDirection.MAXIMIZING )); - assertFalse( NSGA2.paretoDominates( Doubles.asList(0.66879439607494, 0.22736165743227382), Doubles.asList(0.42645325162547487, 5.286351146774817), SearchDirection.MINIMIZING )); - - assertFalse( NSGA2.paretoDominates( Doubles.asList(0.42645325162547487, 5.286351146774817), Doubles.asList(0.66879439607494, 0.22736165743227382), SearchDirection.MAXIMIZING )); - assertFalse( NSGA2.paretoDominates( Doubles.asList(0.42645325162547487, 5.286351146774817), Doubles.asList(0.66879439607494, 0.22736165743227382), SearchDirection.MINIMIZING )); - } - - /////////////////////////////// - - private static final double minZDT1Control = 0.0; - private static final double maxZDT1Control = 1.0; - - private static final double minZDT1Objective = -1000.0; - private static final double maxZDT1Objective = 1000.0; - - public static ConfigurationType - zdt1ConfigurationType(int numDimensions) { - - final SearchDirection dir = SearchDirection.MINIMIZING; - - final List< KeyObjectiveType > keyObjectiveMetricTypes = ImmutableList.of( - new KeyObjectiveType( "objective1", ValueType.realType( minZDT1Objective, maxZDT1Objective ), "scalar", dir ), - new KeyObjectiveType( "objective2", ValueType.realType( minZDT1Objective, maxZDT1Objective ), "scalar", dir ) - ); - - final List< ControlledMetricType > controlledMetricTypes = new ArrayList<>(); - for( int i=0; i<numDimensions; ++i ) - controlledMetricTypes.add( new ControlledMetricType( "var " + i, ValueType.realType( minZDT1Control, maxZDT1Control ), "scalar" ) ); - - final List< ObservableMetricType > observableMetricTypes = ImmutableList.of(); - - return new ConfigurationType.Explicit(keyObjectiveMetricTypes,controlledMetricTypes,observableMetricTypes); - } - - /////////////////////////////// - - private static double - zdt1_gx(List<Double> x) { - final int n = x.size(); - - double sigma = 0.0; - for( int i=1; i<n; ++i ) - sigma += x.get(i); - - final double gx = 1 + ( ( 9 * sigma ) / ( n - 1 ) ); - return gx; - } - - private static Pair< Double, Double > - zdt1(List<Double> x) { - - final double x1 = x.get(0); - - final double gx = zdt1_gx(x); - - final double f1 = x1; - final double f2 = gx * (1 - Math.sqrt(x1 / gx ) ); - - return Pair.create(f1,f2); - } - - /////////////////////////////// - - /** - * @article{zdt2000a, - * author={E. Zitzler and K. Deb and L. Thiele}, - * title={{Comparison of Multiobjective Evolutionary Algorithms: Empirical Results}}, - * journal={Evolutionary Computation}, - * year={2000}, - * volume={8}, - * pages={173--195}, - * number={2} - * } - */ - - @Test - public void testZDT1Multiobjective() { - - // final Random rng = new java.util.Random(0xDEADBEEF); - final Random rng = new java.util.Random(0xDEAFBABE); - - final int populationSize = 100; - final int numDimensions = 2; - final int maxIterations = 5000; - // Timings: - // final int populationSize = 100; - // final int numDimensions = 2; - // final int maxIterations = 5000; - // Concurrent: 237s - // Sequential: 335s - - /////////////////////////// - - final ConfigurationType ct = zdt1ConfigurationType(numDimensions); - - final List< Configuration > initialPopulation = Operators.initialPopulation(populationSize, ct, rng); - - final Function< Value, Double > valueToDouble = (v) -> new ValueVisitor.NumberVisitor().visit(v).doubleValue(); - - final ObjectiveFunction.LocalObjectiveFunction of = new ObjectiveFunction.LocalObjectiveFunction() { - - @Override - public Result predictKeyObjectives(Configuration current, Map<String, Value> proposedControlMetrics) { - - final List< Double > vars = proposedControlMetrics.entrySet().stream().filter( e -> e.getKey().contains("var") ).map( - (e) -> valueToDouble.apply(e.getValue()) ).collect(Collectors.toList()); - - final Pair< Double, Double > p = zdt1(vars); - - final Map< String, Value > keyObjectives = new HashMap<>(); - - final ValueType.Real objectiveType = ValueType.realType( minZDT1Objective, maxZDT1Objective ); - keyObjectives.put( "f1", Value.realValue(p.getFirst(), objectiveType ) ); - keyObjectives.put( "f2", Value.realValue(p.getSecond(), objectiveType ) ); - return new Result(keyObjectives, "Status: OK"); - } - - @Override - public List<Double> objectiveValues(Result result) { - final double f1 = new ValueVisitor.NumberVisitor().visit( result.keyObjectiveMetrics.get("f1") ).doubleValue(); - final double f2 = new ValueVisitor.NumberVisitor().visit( result.keyObjectiveMetrics.get("f2") ).doubleValue(); - return Doubles.asList( f1, f2 ); - } - - @Override - public int numObjectives() { return 2; } - - }; - - /////////////////////////// - - final List< Double > objectiveValueRanges = Doubles.asList( maxZDT1Objective - minZDT1Objective, maxZDT1Objective - minZDT1Objective ); - final int tournamentSize = 7; - final SearchDirection dir = SearchDirection.MINIMIZING; - - final Comparator< List< Double > > compareMultiObjective = Operators.compareMultiObjective(dir); - final BiFunction< Configuration, Configuration, Configuration > crossover = Operators.onePointCrossover(rng); - final Function< Configuration, Configuration > mutation = Operators.uniformMutation(rng); - - final Predicate< List< List< PopulationEntry > > - > isFinished = Operators.maxIterTermination(maxIterations); - - final Function< Configuration, List< Double > > getControls = ( c ) -> c.getControlledMetrics().entrySet().stream().filter( e -> e.getKey().contains("var") ).map( - (e) -> valueToDouble.apply(e.getValue()) ).collect(Collectors.toList()); - - /////////////////////////// - - final long startTime = System.currentTimeMillis(); - - final List< PopulationEntry > bestFront = NSGA2.apply(initialPopulation, - of, - compareMultiObjective, - crossover, - mutation, - isFinished, - objectiveValueRanges, - tournamentSize, - dir, - rng ); - - final long endTime = System.currentTimeMillis(); - - final double elapsed = ( endTime - startTime ) / 1000.0; - - /////////////////////////// - - jeep.lang.Diag.println( bestFront.size() ); - jeep.lang.Diag.println( "elapsed (s) " + elapsed ); - - final List< List< Double > > controls = bestFront.stream().map( p -> getControls.apply( p.getConfiguration() ) ).collect(Collectors.toList()); - final List< Double > gControls = controls.stream().map( cntrl -> zdt1_gx( cntrl ) ).collect(Collectors.toList()); - - // zdt1_gxAccording to Zitzler et al, "Comparison of Multiobjective Evolutionary Algorithms: Empirical Results" - // zdt1_gxthe Pareto-optimal front has zdt1_gx == 1.0 : - - double [] gExpected = new double [ gControls.size() ]; - Arrays.fill( gExpected, 1.0 ); - assertArrayEquals(gExpected, Doubles.toArray(gControls), 0.001 ); - } -} - -// End /////////////////////////////////////////////////////////////// +package uk.ac.york.aura; + +import static org.junit.Assert.assertArrayEquals; +import static org.junit.Assert.assertFalse; +import static org.junit.Assert.assertTrue; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Comparator; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Random; +import java.util.function.BiFunction; +import java.util.function.Function; +import java.util.function.Predicate; +import java.util.stream.Collectors; + +import org.apache.commons.math3.util.Pair; +import org.junit.Test; + +import com.google.common.collect.ImmutableList; +import com.google.common.primitives.Doubles; + +import uk.ac.york.safire.metrics.Configuration; +import uk.ac.york.safire.metrics.ConfigurationType; +import uk.ac.york.safire.metrics.ControlledMetricType; +import uk.ac.york.safire.metrics.KeyObjectiveType; +import uk.ac.york.safire.metrics.ObservableMetricType; +import uk.ac.york.safire.metrics.SearchDirection; +import uk.ac.york.safire.metrics.Value; +import uk.ac.york.safire.metrics.ValueType; +import uk.ac.york.safire.metrics.ValueVisitor; +import uk.ac.york.safire.optimisation.ObjectiveFunction; + +/////////////////////////////////// + +public final class TestNSGA2 { + + @Test + public void testParetoDominates() { + assertTrue( NSGA2.paretoDominates( Doubles.asList(0.0), Doubles.asList(1.0), SearchDirection.MINIMIZING )); + assertFalse( NSGA2.paretoDominates( Doubles.asList(1.0), Doubles.asList(0.0), SearchDirection.MINIMIZING )); + assertTrue( NSGA2.paretoDominates( Doubles.asList(1.0), Doubles.asList(0.0), SearchDirection.MAXIMIZING )); + assertFalse( NSGA2.paretoDominates( Doubles.asList(0.0), Doubles.asList(1.0), SearchDirection.MAXIMIZING )); + + assertTrue( NSGA2.paretoDominates( Doubles.asList(0.0,0.0), Doubles.asList(0.0,1.0), SearchDirection.MINIMIZING )); + assertTrue( NSGA2.paretoDominates( Doubles.asList(0.0,0.0), Doubles.asList(1.0,1.0), SearchDirection.MINIMIZING )); + assertTrue( NSGA2.paretoDominates( Doubles.asList(0.0,0.0), Doubles.asList(1.0,0.0), SearchDirection.MINIMIZING )); + + + assertFalse( NSGA2.paretoDominates( Doubles.asList(0.0,1.0), Doubles.asList(0.0,0.0), SearchDirection.MINIMIZING )); + assertFalse( NSGA2.paretoDominates( Doubles.asList(1.0,1.0), Doubles.asList(0.0,0.0), SearchDirection.MINIMIZING )); + assertFalse( NSGA2.paretoDominates( Doubles.asList(1.0,0.0), Doubles.asList(0.0,0.0), SearchDirection.MINIMIZING )); + + assertFalse( NSGA2.paretoDominates( Doubles.asList(0.0,0.0), Doubles.asList(0.0,1.0), SearchDirection.MAXIMIZING )); + assertFalse( NSGA2.paretoDominates( Doubles.asList(0.0,0.0), Doubles.asList(1.0,1.0), SearchDirection.MAXIMIZING )); + assertFalse( NSGA2.paretoDominates( Doubles.asList(0.0,0.0), Doubles.asList(1.0,0.0), SearchDirection.MAXIMIZING )); + + assertFalse( NSGA2.paretoDominates( Doubles.asList(0.66879439607494, 0.22736165743227382), Doubles.asList(0.42645325162547487, 5.286351146774817), SearchDirection.MAXIMIZING )); + assertFalse( NSGA2.paretoDominates( Doubles.asList(0.66879439607494, 0.22736165743227382), Doubles.asList(0.42645325162547487, 5.286351146774817), SearchDirection.MINIMIZING )); + + assertFalse( NSGA2.paretoDominates( Doubles.asList(0.42645325162547487, 5.286351146774817), Doubles.asList(0.66879439607494, 0.22736165743227382), SearchDirection.MAXIMIZING )); + assertFalse( NSGA2.paretoDominates( Doubles.asList(0.42645325162547487, 5.286351146774817), Doubles.asList(0.66879439607494, 0.22736165743227382), SearchDirection.MINIMIZING )); + } + + /////////////////////////////// + + private static final double minZDT1Control = 0.0; + private static final double maxZDT1Control = 1.0; + + private static final double minZDT1Objective = -1000.0; + private static final double maxZDT1Objective = 1000.0; + + public static ConfigurationType + zdt1ConfigurationType(int numDimensions) { + + final SearchDirection dir = SearchDirection.MINIMIZING; + + final List< KeyObjectiveType > keyObjectiveMetricTypes = ImmutableList.of( + new KeyObjectiveType( "objective1", ValueType.realType( minZDT1Objective, maxZDT1Objective ), "scalar", dir ), + new KeyObjectiveType( "objective2", ValueType.realType( minZDT1Objective, maxZDT1Objective ), "scalar", dir ) + ); + + final List< ControlledMetricType > controlledMetricTypes = new ArrayList<>(); + for( int i=0; i<numDimensions; ++i ) + controlledMetricTypes.add( new ControlledMetricType( "var " + i, ValueType.realType( minZDT1Control, maxZDT1Control ), "scalar" ) ); + + final List< ObservableMetricType > observableMetricTypes = ImmutableList.of(); + + return new ConfigurationType.Explicit(keyObjectiveMetricTypes,controlledMetricTypes,observableMetricTypes); + } + + /////////////////////////////// + + private static double + zdt1_gx(List<Double> x) { + final int n = x.size(); + + double sigma = 0.0; + for( int i=1; i<n; ++i ) + sigma += x.get(i); + + final double gx = 1 + ( ( 9 * sigma ) / ( n - 1 ) ); + return gx; + } + + private static Pair< Double, Double > + zdt1(List<Double> x) { + + final double x1 = x.get(0); + + final double gx = zdt1_gx(x); + + final double f1 = x1; + final double f2 = gx * (1 - Math.sqrt(x1 / gx ) ); + + return Pair.create(f1,f2); + } + + /////////////////////////////// + + /** + * @article{zdt2000a, + * author={E. Zitzler and K. Deb and L. Thiele}, + * title={{Comparison of Multiobjective Evolutionary Algorithms: Empirical Results}}, + * journal={Evolutionary Computation}, + * year={2000}, + * volume={8}, + * pages={173--195}, + * number={2} + * } + */ + + @Test + public void testZDT1Multiobjective() { + + // final Random rng = new java.util.Random(0xDEADBEEF); + final Random rng = new java.util.Random(0xDEAFBABE); + + final int populationSize = 100; + final int numDimensions = 2; + final int maxIterations = 5000; + // Timings: + // final int populationSize = 100; + // final int numDimensions = 2; + // final int maxIterations = 5000; + // Concurrent: 237s + // Sequential: 335s + + /////////////////////////// + + final ConfigurationType ct = zdt1ConfigurationType(numDimensions); + + final List< Configuration > initialPopulation = Operators.initialPopulation(populationSize, ct, rng); + + final Function< Value, Double > valueToDouble = (v) -> new ValueVisitor.NumberVisitor().visit(v).doubleValue(); + + final ObjectiveFunction.LocalObjectiveFunction of = new ObjectiveFunction.LocalObjectiveFunction() { + + @Override + public Result predictKeyObjectives(Configuration current, Map<String, Value> proposedControlMetrics) { + + final List< Double > vars = proposedControlMetrics.entrySet().stream().filter( e -> e.getKey().contains("var") ).map( + (e) -> valueToDouble.apply(e.getValue()) ).collect(Collectors.toList()); + + final Pair< Double, Double > p = zdt1(vars); + + final Map< String, Value > keyObjectives = new HashMap<>(); + + final ValueType.Real objectiveType = ValueType.realType( minZDT1Objective, maxZDT1Objective ); + keyObjectives.put( "f1", Value.realValue(p.getFirst(), objectiveType ) ); + keyObjectives.put( "f2", Value.realValue(p.getSecond(), objectiveType ) ); + return new Result(keyObjectives, "Status: OK"); + } + + @Override + public List<Double> objectiveValues(Result result) { + final double f1 = new ValueVisitor.NumberVisitor().visit( result.keyObjectiveMetrics.get("f1") ).doubleValue(); + final double f2 = new ValueVisitor.NumberVisitor().visit( result.keyObjectiveMetrics.get("f2") ).doubleValue(); + return Doubles.asList( f1, f2 ); + } + + @Override + public int numObjectives() { return 2; } + + }; + + /////////////////////////// + + final List< Double > objectiveValueRanges = Doubles.asList( maxZDT1Objective - minZDT1Objective, maxZDT1Objective - minZDT1Objective ); + final int tournamentSize = 7; + final SearchDirection dir = SearchDirection.MINIMIZING; + + final Comparator< List< Double > > compareMultiObjective = Operators.compareMultiObjective(dir); + final BiFunction< Configuration, Configuration, Configuration > crossover = Operators.onePointCrossover(rng); + final Function< Configuration, Configuration > mutation = Operators.uniformMutation(rng); + + final Predicate< List< List< PopulationEntry > > + > isFinished = Operators.maxIterTermination(maxIterations); + + final Function< Configuration, List< Double > > getControls = ( c ) -> c.getControlledMetrics().entrySet().stream().filter( e -> e.getKey().contains("var") ).map( + (e) -> valueToDouble.apply(e.getValue()) ).collect(Collectors.toList()); + + /////////////////////////// + + final long startTime = System.currentTimeMillis(); + + final List< PopulationEntry > bestFront = NSGA2.apply(initialPopulation, + of, + compareMultiObjective, + crossover, + mutation, + isFinished, + objectiveValueRanges, + tournamentSize, + dir, + rng ); + + final long endTime = System.currentTimeMillis(); + + final double elapsed = ( endTime - startTime ) / 1000.0; + + /////////////////////////// + + jeep.lang.Diag.println( bestFront.size() ); + jeep.lang.Diag.println( "elapsed (s) " + elapsed ); + + final List< List< Double > > controls = bestFront.stream().map( p -> getControls.apply( p.getConfiguration() ) ).collect(Collectors.toList()); + final List< Double > gControls = controls.stream().map( cntrl -> zdt1_gx( cntrl ) ).collect(Collectors.toList()); + + // zdt1_gxAccording to Zitzler et al, "Comparison of Multiobjective Evolutionary Algorithms: Empirical Results" + // zdt1_gxthe Pareto-optimal front has zdt1_gx == 1.0 : + + double [] gExpected = new double [ gControls.size() ]; + Arrays.fill( gExpected, 1.0 ); + assertArrayEquals(gExpected, Doubles.toArray(gControls), 0.001 ); + } +} + +// End /////////////////////////////////////////////////////////////// diff --git a/src/test/java/uk/ac/york/safire/optimisation/ia/NormalDistributionTest.java b/src/test/java/uk/ac/york/safire/optimisation/ia/NormalDistributionTest.java new file mode 100644 index 0000000000000000000000000000000000000000..d2aa8a09af3f1c9f632a94eedd0257ead6b21922 --- /dev/null +++ b/src/test/java/uk/ac/york/safire/optimisation/ia/NormalDistributionTest.java @@ -0,0 +1,70 @@ +package uk.ac.york.safire.optimisation.ia; + +import java.util.ArrayList; +import java.util.List; + +import org.apache.commons.math3.distribution.NormalDistribution; + +public class NormalDistributionTest { + + + + public static void main(String args[]) { + NormalDistribution d = new NormalDistribution(1000, 500); + + System.out.println("mean: "+d.getMean()); + System.out.println("st: "+d.getStandardDeviation()); + + + + + List<Double> res = new ArrayList<>(); + + for(int i=0; i<100;i++) + res.add(d.sample()); + + System.out.println(res); + + + + + // Problem 1; µ = 1000; σ = 100 + + // Random ram = new Random(1); + // + // List<Double> finishes = new ArrayList<>(); + // List<Double> qualities = new ArrayList<>(); + // + // for (int i = 0; i < 10000; i++) { + // double finishTime = ram.nextInt(2000); + // finishes.add(finishTime); + // } + // + // finishes.sort((c1, c2) -> Double.compare(c1, c2)); + // + // for (int i = 0; i < finishes.size(); i++) { + // double quality = getQuality(finishes.get(i), 1000); + // qualities.add(quality); + // } + // + // for (int i = 0; i < finishes.size(); i++) { + // System.out.print(finishes.get(i) + " " + qualities.get(i)); + // System.out.println(); + // } + + } + + public static double getQuality(double finishTime, double deadline) { + double standardD = 10.0; + double unacceptableAfter = 30; + double worstQuality = 0; + + if (deadline + unacceptableAfter - finishTime <= 0) { + return worstQuality; + } else { + NormalDistribution d = new NormalDistribution(deadline, standardD); + return d.probability(finishTime); + } + + } +} diff --git a/src/test/java/uk/ac/york/safire/optimisation/ia/TestIAObjectiveFunction.java b/src/test/java/uk/ac/york/safire/optimisation/ia/TestIAObjectiveFunction.java index 7e2b64a10774b26e4b5240b1591ff5cc1d590093..0cc71c938dfafd69972a78a0c545b079df1b5403 100644 --- a/src/test/java/uk/ac/york/safire/optimisation/ia/TestIAObjectiveFunction.java +++ b/src/test/java/uk/ac/york/safire/optimisation/ia/TestIAObjectiveFunction.java @@ -1,221 +1,1224 @@ -package uk.ac.york.safire.optimisation.ia; - -import java.util.Collections; -import java.util.List; -import java.util.Map; -import java.util.Random; -import java.util.stream.Collectors; - -import org.apache.commons.lang3.tuple.Pair; -import org.junit.Test; - -import com.google.common.collect.HashMultiset; -import com.google.common.collect.Multiset; - -import uk.ac.york.safire.metrics.Configuration; -import uk.ac.york.safire.metrics.ConfigurationType; -import uk.ac.york.safire.metrics.OptimisationResult; -import uk.ac.york.safire.metrics.Utility; -import uk.ac.york.safire.metrics.Value; -import uk.ac.york.safire.metrics.ValueVisitor; -import uk.ac.york.safire.optimisation.ConfigurationUtilities; -import uk.ac.york.safire.optimisation.ObjectiveFunction; -import uk.ac.york.safire.optimisation.OptmisationUtility; -import uk.ac.york.safire.optimisation.mitm.atb.ATBSimulatorKafkaProducer; -import uk.ac.york.safire.optimisation.mitm.atb.IAObjectiveFunction; -import uk.ac.york.safire.optimisation.mitm.atb.IAObjectiveFunction.InstanceName; -import uk.ac.york.safire.optimisation.mitm.atb.OasHardwiredConfigurationType; -import uk.ac.york.safire.optimisation.mitm.atb.OasObjectiveFunction; -import uk.ac.york.safire.optimisation.mitm.atb.OasProductionLineHardwiredConfigurationType; -import uk.ac.york.safire.optimisation.mitm.atb.OasProductionLineObjectiveFunction; -import uk.ac.york.safire.optimisation.mitm.atb.OnaHardwiredConfigurationType; -import uk.ac.york.safire.optimisation.mitm.atb.OnaMultipleObjectiveFunction; -import uk.ac.york.safire.optimisation.mitm.atb.OnaSingleObjectiveFunction; -import uk.ac.york.safire.optimisation.mitm.atb.PreemptionIAObjectiveFunction; -import uk.ac.york.safire.optimisation.mitm.atb.PreemptiveOnaConfigurationType; -import uk.ac.york.safire.optimisation.mitm.atb.SequenceDependentTaskInfo; -import uk.ac.york.safire.optimisation.mitm.atb.UoYEarlyPrototypeDemo; -import uk.ac.york.safire.optimisation.mitm.atb.ATBSimulatorKafkaProducer.RecipeInfo; - -/////////////////////////////////// - -public final class TestIAObjectiveFunction { - - private String precisKeyObjectives(Configuration config) { - final ValueVisitor< Number > visitor = new ValueVisitor.NumberVisitor(); - return config.getKeyObjectives().entrySet().stream().map( e -> - e.getKey() + ": " + visitor.visit( e.getValue() ).doubleValue() ).collect(Collectors.joining(",") ); - } - - private Multiset< String > - keyObjectivesMultiset(List< Configuration > configs) { - final Multiset< String > result = HashMultiset.create(); - configs.forEach( c -> result.add( precisKeyObjectives(c) ) ); - // configs.forEach( c -> result.add( precisKeyObjectives(c) + " " + ATBSimulatorKafkaProducer.getStatusString(c) ) ); - return result; - } - - private void testImpl(ObjectiveFunction.LocalObjectiveFunction of, ConfigurationType ct,Random rng) { - - final Configuration config = Utility.randomConfiguration(ct, rng); -// jeep.lang.Diag.println( config ); -//System.exit(0); - // jeep.lang.Diag.println( "P13 0 priority: " + IAObjectiveFunction.priority( "P13 0", config ) ); - // jeep.lang.Diag.println( "P14 0 priority: " + IAObjectiveFunction.priority( "P14 0", config ) ); - // jeep.lang.Diag.println( "P15 0 priority: " + IAObjectiveFunction.priority( "P15 0", config ) ); - -// final uk.ac.york.safire.optimisation.mitm.atb.RecipeInfo p13 = new uk.ac.york.safire.optimisation.mitm.atb.RecipeInfo( "P13", 1, Collections.emptyList() ); -// final uk.ac.york.safire.optimisation.mitm.atb.RecipeInfo p14 = new uk.ac.york.safire.optimisation.mitm.atb.RecipeInfo( "P14", 1, Collections.emptyList() ); - - // jeep.lang.Diag.println( "P13 0 interval: " + IAObjectiveFunction.interval( new InstanceName( p13, 0 ), new Resource( "Large 4" ), config ) ); - // jeep.lang.Diag.println( "P14 0 interval: " + IAObjectiveFunction.interval( new InstanceName( p14, 0 ), new Resource( "Large 4" ), config ) ); - - final int numOEInvocations = 1; - for( int i=0; i<numOEInvocations; ++i ) { - - final int urgency = 50; - final int iterations = 500; - // final int iterations = 30; -// rng.setSeed(0xDEADBEEF); - final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config,of,urgency,iterations,rng); - - final List< String > statusStrings = or.getReconfigurations().parallelStream().map( c -> ConfigurationUtilities.getStatusString(c) ).collect(Collectors.toList()); - // jeep.lang.Diag.println( "ATBSimulatorKafkaProducer.getStatusString(or.getReconfigurations().get(0)) + ">>"); - jeep.lang.Diag.println( statusStrings ); - jeep.lang.Diag.println( "#front: " + or.getReconfigurations().size() ); - // jeep.lang.Diag.println( keyObjectivesMultiset(or.getReconfigurations() ) ); - // jeep.lang.Diag.println( OptmisationUtility.controlledMetricsHistogram(or.getReconfigurations() ) ); - jeep.lang.Diag.println( OptmisationUtility.keyObjectivesHistogram(or.getReconfigurations() ) ); - } - } - - /////////////////////////////// - - @Test - public void testOAS() { - // final Random rng = new java.util.Random( 0xDEADBEEF ); - final Random rng = new ec.util.MersenneTwister( 0xDEADBEEF ); - final int percentageAvailability = 90; - final ConfigurationType ct = OasHardwiredConfigurationType.hardwiredConfigurationType(percentageAvailability, rng); - final ObjectiveFunction.LocalObjectiveFunction of = - new OasObjectiveFunction(OasHardwiredConfigurationType.hardwiredCommodities()); - testImpl(of, ct,rng); - } - - /////////////////////////////// - - @Test - public void testOASProductionLine() { - final Random rng = new ec.util.MersenneTwister( 0xDEADBEEF); // System.currentTimeMillis()); // 0xDEADBEEF ); - - // final Pair< Map< String, List< RecipeInfo > >, String [] > recipesAndResources = PreemptiveOnaConfigurationType.toyExampleRecipesAndResourceNames(); - final int numMixers = 4; - final ConfigurationType ct = OasProductionLineHardwiredConfigurationType.hardwiredConfigurationType(numMixers, rng); - -// final Map< String, List< RecipeInfo > > recipeInfo = recipesAndResources.getLeft(); -// final String [] resourceNames = recipesAndResources.getRight(); - -// final boolean isMultiobjective = true; - -// final ConfigurationType ct = PreemptiveOnaConfigurationType.configurationType(recipeInfo, resourceNames, isMultiobjective, rng); -// -// final double density = 1.0; -// final int maxDuration = 1000; -// final double maxCost = 1000; -// final List< RecipeInfo > allRecipes = recipeInfo.values().stream().flatMap(List::stream).collect(Collectors.toList()); -// final List< SequenceDependentTaskInfo -// > sequenceDependentTasks = SequenceDependentTaskInfo.makeRandomSequenceDependantTasks(allRecipes, resourceNames, density, maxDuration, maxCost, rng); - -// jeep.lang.Diag.println( sequenceDependentTasks.stream().map(s -> s.toString() ).collect(Collectors.joining("\n") ) ); - - final List< SequenceDependentTaskInfo > sequenceDependentTasks = Collections.emptyList(); - final ObjectiveFunction.LocalObjectiveFunction of = new OasProductionLineObjectiveFunction(sequenceDependentTasks); - testImpl(of, ct,rng); - } - - /////////////////////////////// - - @Test - public void testONA1() { - - // OnaMultipleObjectiveFunction.testDependentTaskParser(); - - // final Random rng = new java.util.Random( 0xDEADBEEF ); - final Random rng = new ec.util.MersenneTwister( 0xDEADBEEF); // System.currentTimeMillis()); // 0xDEADBEEF ); - final int percentageAvailability = 100; - final boolean isMultiobjective = true; - final ConfigurationType ct = OnaHardwiredConfigurationType.hardwiredConfigurationType(percentageAvailability, isMultiobjective, rng); - // final ConfigurationType ct = OnaHardwiredConfigurationType.hardwiredConfigurationTypeTwoLevel(percentageAvailability, isMultiobjective, rng); - - final ObjectiveFunction.LocalObjectiveFunction of = new OnaMultipleObjectiveFunction(); - jeep.lang.Diag.println(of.getClass().getName()); - testImpl(of, ct,rng); - jeep.lang.Diag.println("All done."); - } - - /////////////////////////////// - - @Test - public void testONA2() { - - // OnaMultipleObjectiveFunction.testDependentTaskParser(); - - // final Random rng = new java.util.Random( 0xDEADBEEF ); - final Random rng = new ec.util.MersenneTwister( 0xDEADBEEF); // System.currentTimeMillis()); // 0xDEADBEEF ); - final int percentageAvailability = 100; - final boolean isMultiobjective = true; - // final ConfigurationType ct = OnaHardwiredConfigurationType.hardwiredConfigurationType(percentageAvailability, isMultiobjective, rng); - // final ConfigurationType ct = OnaHardwiredConfigurationType.hardwiredConfigurationTypeTwoLevel(percentageAvailability, isMultiobjective, rng); - - final int scalingFactor = 5; - final int numStage1Recipes = 10 * scalingFactor; - final int numStage2Recipes = 10 * scalingFactor; - - final ConfigurationType ct = OnaHardwiredConfigurationType.scalableHardwiredConfigurationTypeTwoLevel( - percentageAvailability, isMultiobjective, - numStage1Recipes, numStage2Recipes, - rng); - -// final ConfigurationType ct = OnaHardwiredConfigurationType.toyConfigurationType(percentageAvailability, isMultiobjective, rng); - // final ObjectiveFunction.LocalObjectiveFunction of = new OnaSingleObjectiveFunction(); - final ObjectiveFunction.LocalObjectiveFunction of = new OnaMultipleObjectiveFunction(); - jeep.lang.Diag.println(of.getClass().getName()); - testImpl(of, ct,rng); - jeep.lang.Diag.println("All done."); - } - - /////////////////////////////// - - @Test - public void testONAPreemptive() { - -// final double longMax = Long.MAX_VALUE; -// jeep.lang.Diag.println( factorial(21) - longMax ); -// System.exit(0); - - final Random rng = new ec.util.MersenneTwister( 0xDEADBEEF); // System.currentTimeMillis()); // 0xDEADBEEF ); - - final Pair< Map< String, List< RecipeInfo > >, String [] > recipesAndResources = PreemptiveOnaConfigurationType.toyExampleRecipesAndResourceNames(); - final Map< String, List< RecipeInfo > > recipeInfo = recipesAndResources.getLeft(); - final String [] resourceNames = recipesAndResources.getRight(); - - final boolean isMultiobjective = true; - - final ConfigurationType ct = PreemptiveOnaConfigurationType.configurationType(recipeInfo, resourceNames, isMultiobjective, rng); - - final double density = 1.0; - final int maxDuration = 1000; - final double maxCost = 1000; - final List< RecipeInfo > allRecipes = recipeInfo.values().stream().flatMap(List::stream).collect(Collectors.toList()); - final List< SequenceDependentTaskInfo - > sequenceDependentTasks = SequenceDependentTaskInfo.makeRandomSequenceDependantTasks(allRecipes, resourceNames, density, maxDuration, maxCost, rng); - -// jeep.lang.Diag.println( sequenceDependentTasks.stream().map(s -> s.toString() ).collect(Collectors.joining("\n") ) ); - - - final ObjectiveFunction.LocalObjectiveFunction of = new PreemptionIAObjectiveFunction(sequenceDependentTasks); - testImpl(of, ct,rng); - } -} - +package uk.ac.york.safire.optimisation.ia; + +import java.io.BufferedWriter; +import java.io.File; +import java.io.FileWriter; +import java.io.IOException; +import java.io.PrintWriter; +import java.text.DecimalFormat; +import java.time.Instant; +import java.util.ArrayList; +import java.util.DoubleSummaryStatistics; +import java.util.List; +import java.util.Map; +import java.util.Random; +import java.util.Set; +import java.util.stream.Collectors; + +import org.apache.commons.lang3.tuple.Pair; +import org.apache.kafka.clients.producer.ProducerRecord; +import org.junit.Test; + +import uk.ac.york.aura.MOEAD_RA; +import uk.ac.york.aura.MOEAD_RS; +import uk.ac.york.safire.factoryModel.ONA.ONAFactoryModel; +import uk.ac.york.safire.factoryModel.ONA.ONAXMLWriter; +import uk.ac.york.safire.metrics.Configuration; +import uk.ac.york.safire.metrics.ConfigurationType; +import uk.ac.york.safire.metrics.OptimisationResult; +import uk.ac.york.safire.metrics.Utility; +import uk.ac.york.safire.metrics.Value; +import uk.ac.york.safire.metrics.Value.Int; +import uk.ac.york.safire.metrics.Value.Real; +import uk.ac.york.safire.optimisation.ConfigurationUtilities; +import uk.ac.york.safire.optimisation.ObjectiveFunction; +import uk.ac.york.safire.optimisation.OptmisationUtility; +import uk.ac.york.safire.optimisation.mitm.atb.ATBSimulatorKafkaProducer.RecipeInfo; +import uk.ac.york.safire.optimisation.mitm.atb.BusinessCase; +import uk.ac.york.safire.optimisation.mitm.atb.ElectroluxConfigurationType; +import uk.ac.york.safire.optimisation.mitm.atb.ElectroluxObjectiveFunction; +import uk.ac.york.safire.optimisation.mitm.atb.FormattedResultOAS; +import uk.ac.york.safire.optimisation.mitm.atb.OasHardwiredConfigurationType; +import uk.ac.york.safire.optimisation.mitm.atb.OasObjectiveFunction; +import uk.ac.york.safire.optimisation.mitm.atb.OasProductionLineConfigurationType; +import uk.ac.york.safire.optimisation.mitm.atb.OasProductionLineObjectiveFunction; +import uk.ac.york.safire.optimisation.mitm.atb.OnaConfigurationType; +import uk.ac.york.safire.optimisation.mitm.atb.OnaHardwiredConfigurationType; +import uk.ac.york.safire.optimisation.mitm.atb.OnaMultipleObjectiveFunction; +import uk.ac.york.safire.optimisation.mitm.atb.PreemptionIAObjectiveFunction; +import uk.ac.york.safire.optimisation.mitm.atb.PreemptiveOnaConfigurationType; +import uk.ac.york.safire.optimisation.mitm.atb.SequenceDependentTaskInfo; +import uk.ac.york.safire.optimisation.mitm.atb.UoYEarlyPrototypeDemo; + +/////////////////////////////////// + +public final class TestIAObjectiveFunction { + + @Test + public void testMOEAD_RA_P() { + final int urgency = 50; + int iterations = 500; + int populationSize = 500; + final int numOEInvocations = 2; + + DecimalFormat df = new DecimalFormat("0.0"); + String filename = "results/OE " + numOEInvocations + " G " + iterations + " P " + populationSize + " F " + + df.format(MOEAD_RA.F) + " M " + df.format(MOEAD_RA.M); + System.out.println("\n" + filename); + File f = new File(filename); + if (f.exists()) { + f.delete(); + try { + f.createNewFile(); + } catch (IOException e) { + e.printStackTrace(); + } + } + + final Random rng = new ec.util.MersenneTwister(0xDEADBEEF); + final int percentageAvailability = 100; + final ConfigurationType ct = OasHardwiredConfigurationType.hardwiredConfigurationType(percentageAvailability, + rng); + final ObjectiveFunction.LocalObjectiveFunction of = new OasObjectiveFunction( + OasHardwiredConfigurationType.hardwiredCommodities()); + final Configuration config = Utility.randomConfiguration(ct, rng); + + final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config, of, urgency, iterations, populationSize, + rng, numOEInvocations); + + jeep.lang.Diag.println("#front: " + or.getReconfigurations().size()); + + List<List<Value>> results = new ArrayList<List<Value>>(); + + for (Configuration c : or.getReconfigurations()) { + List<Value> result = new ArrayList<Value>(); + + result.add(c.getKeyObjectives().get("makespan")); + + if (c.getKeyObjectives().get("Std Weiss amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Std Weiss amount discrepancy score")); + + if (c.getKeyObjectives().get("Weiss Matt amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Weiss Matt amount discrepancy score")); + + if (c.getKeyObjectives().get("Super Glanz amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Super Glanz amount discrepancy score")); + + if (c.getKeyObjectives().get("Weiss Basis amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Weiss Basis amount discrepancy score")); + + results.add(result); + } + List<Double> sums = new ArrayList<Double>(); + List<List<Double>> analysableResults = new ArrayList<List<Double>>(); + for (int j = 0; j < results.get(0).size(); j++) { + analysableResults.add(new ArrayList<Double>()); + } + + String finalResult = "Generations: " + iterations + " Populations: " + populationSize + " Optimization Engine: " + + numOEInvocations + "\n"; + + for (int j = 0; j < results.size(); j++) { + double sum = 0; + Real makespan = (Real) results.get(j).get(0); + finalResult += makespan.value + " "; + analysableResults.get(0).add(makespan.value); + + for (int k = 1; k < results.get(j).size() - 1; k++) { + Int objective = (Int) results.get(j).get(k); + finalResult += objective.value + " "; + sum += objective.value; + analysableResults.get(k).add((double) objective.value); + } + + Int objective = (Int) results.get(j).get(results.get(j).size() - 1); + finalResult += objective.value + "\n"; + + analysableResults.get(results.get(j).size() - 1).add((double) objective.value); + + sum += objective.value; + sums.add(sum); + } + finalResult += "\n"; + + df = new DecimalFormat("0.00"); + + for (int j = 0; j < analysableResults.size(); j++) { + DoubleSummaryStatistics stats = analysableResults.get(j).stream().mapToDouble((x) -> x).summaryStatistics(); + System.out.println("Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + + " Max: " + df.format(stats.getMax())); + finalResult += "Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + " Max: " + + df.format(stats.getMax()) + "\n"; + } + DoubleSummaryStatistics stats = sums.stream().mapToDouble((x) -> x).summaryStatistics(); + System.out.println("Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + " Max: " + + df.format(stats.getMax()) + " SUM."); + finalResult += "Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + " Max: " + + df.format(stats.getMax()) + " SUM.\n"; + + try (FileWriter fw = new FileWriter(filename, true); + BufferedWriter bw = new BufferedWriter(fw); + PrintWriter out = new PrintWriter(bw)) { + out.println(finalResult); + out.close(); + } catch (IOException e) { + e.printStackTrace(); + } + + jeep.lang.Diag.println(OptmisationUtility.keyObjectivesHistogram(or.getReconfigurations())); + + System.out.println(filename + " READY! \n"); + + System.out.println("MOEA/D-RA parameter tuning success! "); + } + + @Test + public void testMOEAD_RA_FM() { + final int urgency = 50; + int iterations = 100; + int populationSize = 500; + final int numOEInvocations = 2; + + for (MOEAD_RA.M = 1.0; MOEAD_RA.M >= 0; MOEAD_RA.M -= 0.1) { + for (MOEAD_RA.F = 0.3; MOEAD_RA.F >= 0; MOEAD_RA.F -= 0.1) { + DecimalFormat df = new DecimalFormat("0.0"); + String filename = "results/OE " + numOEInvocations + " G " + iterations + " P " + populationSize + " F " + + df.format(MOEAD_RA.F) + " M " + df.format(MOEAD_RA.M); + System.out.println("\n" + filename); + File f = new File(filename); + if (f.exists()) { + f.delete(); + try { + f.createNewFile(); + } catch (IOException e) { + e.printStackTrace(); + } + } + + final Random rng = new ec.util.MersenneTwister(0xDEADBEEF); + final int percentageAvailability = 100; + final ConfigurationType ct = OasHardwiredConfigurationType + .hardwiredConfigurationType(percentageAvailability, rng); + final ObjectiveFunction.LocalObjectiveFunction of = new OasObjectiveFunction( + OasHardwiredConfigurationType.hardwiredCommodities()); + final Configuration config = Utility.randomConfiguration(ct, rng); + + final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config, of, urgency, iterations, + populationSize, rng, numOEInvocations); + + jeep.lang.Diag.println("#front: " + or.getReconfigurations().size()); + + List<List<Value>> results = new ArrayList<List<Value>>(); + + for (Configuration c : or.getReconfigurations()) { + List<Value> result = new ArrayList<Value>(); + + result.add(c.getKeyObjectives().get("makespan")); + + if (c.getKeyObjectives().get("Std Weiss amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Std Weiss amount discrepancy score")); + + if (c.getKeyObjectives().get("Weiss Matt amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Weiss Matt amount discrepancy score")); + + if (c.getKeyObjectives().get("Super Glanz amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Super Glanz amount discrepancy score")); + + if (c.getKeyObjectives().get("Weiss Basis amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Weiss Basis amount discrepancy score")); + + results.add(result); + } + List<Double> sums = new ArrayList<Double>(); + List<List<Double>> analysableResults = new ArrayList<List<Double>>(); + for (int j = 0; j < results.get(0).size(); j++) { + analysableResults.add(new ArrayList<Double>()); + } + + String finalResult = "Generations: " + iterations + " Populations: " + populationSize + + " Optimization Engine: " + numOEInvocations + "\n"; + + for (int j = 0; j < results.size(); j++) { + double sum = 0; + Real makespan = (Real) results.get(j).get(0); + finalResult += makespan.value + " "; + analysableResults.get(0).add(makespan.value); + + for (int k = 1; k < results.get(j).size() - 1; k++) { + Int objective = (Int) results.get(j).get(k); + finalResult += objective.value + " "; + sum += objective.value; + analysableResults.get(k).add((double) objective.value); + } + + Int objective = (Int) results.get(j).get(results.get(j).size() - 1); + finalResult += objective.value + "\n"; + + analysableResults.get(results.get(j).size() - 1).add((double) objective.value); + + sum += objective.value; + sums.add(sum); + } + finalResult += "\n"; + + df = new DecimalFormat("0.00"); + + for (int j = 0; j < analysableResults.size(); j++) { + DoubleSummaryStatistics stats = analysableResults.get(j).stream().mapToDouble((x) -> x) + .summaryStatistics(); + System.out.println("Average: " + df.format(stats.getAverage()) + " Min: " + + df.format(stats.getMin()) + " Max: " + df.format(stats.getMax())); + finalResult += "Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + + " Max: " + df.format(stats.getMax()) + "\n"; + } + DoubleSummaryStatistics stats = sums.stream().mapToDouble((x) -> x).summaryStatistics(); + System.out.println("Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + + " Max: " + df.format(stats.getMax()) + " SUM."); + finalResult += "Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + + " Max: " + df.format(stats.getMax()) + " SUM.\n"; + + try (FileWriter fw = new FileWriter(filename, true); + BufferedWriter bw = new BufferedWriter(fw); + PrintWriter out = new PrintWriter(bw)) { + out.println(finalResult); + out.close(); + } catch (IOException e) { + e.printStackTrace(); + } + + System.out.println(filename + " READY! \n"); + } + } + + System.out.println("MOEA/D-RA parameter tuning success! "); + } + + private void testMOEAD() { + final Random rng = new ec.util.MersenneTwister(0xDEADBEEF); + final int percentageAvailability = 100; + final ConfigurationType ct = OasHardwiredConfigurationType.hardwiredConfigurationType(percentageAvailability, + rng); + final ObjectiveFunction.LocalObjectiveFunction of = new OasObjectiveFunction( + OasHardwiredConfigurationType.hardwiredCommodities()); + final Configuration config = Utility.randomConfiguration(ct, rng); + + final int urgency = 50; + final int iterations = 100; + final int populationSize = 100; + + DecimalFormat df = new DecimalFormat("0.00"); + + String filename = "results/OE 1" + " G " + iterations + " P " + populationSize + " F " + df.format(MOEAD_RS.F) + + " M " + df.format(MOEAD_RS.M); + System.out.println("\n" + filename); + + final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config, of, urgency, iterations, populationSize, + rng, 1); + + jeep.lang.Diag.println("#front: " + or.getReconfigurations().size()); + List<List<Value>> results = new ArrayList<List<Value>>(); + + for (Configuration c : or.getReconfigurations()) { + List<Value> result = new ArrayList<Value>(); + result.add(c.getKeyObjectives().get("makespan")); + + if (c.getKeyObjectives().get("Std Weiss amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Std Weiss amount discrepancy score")); + + if (c.getKeyObjectives().get("Weiss Matt amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Weiss Matt amount discrepancy score")); + + if (c.getKeyObjectives().get("Super Glanz amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Super Glanz amount discrepancy score")); + + if (c.getKeyObjectives().get("Weiss Basis amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Weiss Basis amount discrepancy score")); + + results.add(result); + } + + String finalResult = filename + "\n"; + List<Double> sums = new ArrayList<Double>(); + List<List<Double>> analysableResults = new ArrayList<List<Double>>(); + for (int j = 0; j < results.get(0).size(); j++) { + analysableResults.add(new ArrayList<Double>()); + } + + for (int j = 0; j < results.size(); j++) { + double sum = 0; + Real makespan = (Real) results.get(j).get(0); + finalResult += makespan.value + " "; + analysableResults.get(0).add(makespan.value); + + for (int k = 1; k < results.get(j).size() - 1; k++) { + Int objective = (Int) results.get(j).get(k); + finalResult += objective.value + " "; + sum += objective.value; + analysableResults.get(k).add((double) objective.value); + } + + Int objective = (Int) results.get(j).get(results.get(j).size() - 1); + finalResult += objective.value + "\n"; + + analysableResults.get(results.get(j).size() - 1).add((double) objective.value); + + sum += objective.value; + sums.add(sum); + } + finalResult += "\n"; + + System.out.println(finalResult); + + df = new DecimalFormat("0.00"); + + for (int j = 0; j < analysableResults.size(); j++) { + DoubleSummaryStatistics stats = analysableResults.get(j).stream().mapToDouble((x) -> x).summaryStatistics(); + System.out.println("Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + + " Max: " + df.format(stats.getMax())); + } + DoubleSummaryStatistics stats = sums.stream().mapToDouble((x) -> x).summaryStatistics(); + System.out.println("Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + " Max: " + + df.format(stats.getMax()) + " SUM."); + + System.out.println("Test prove MOEAD success! "); + } + + private void testMOEAD_RS(boolean enableNewCrossover, boolean enableNewMutation, boolean enableImrpove, + boolean enableElitism) { + + final Random rng = new ec.util.MersenneTwister(0xDEADBEEF); + final int percentageAvailability = 100; + final ConfigurationType ct = OasHardwiredConfigurationType.hardwiredConfigurationType(percentageAvailability, + rng); + final ObjectiveFunction.LocalObjectiveFunction of = new OasObjectiveFunction( + OasHardwiredConfigurationType.hardwiredCommodities()); + final Configuration config = Utility.randomConfiguration(ct, rng); + + final int urgency = 50; + final int iterations = 100; + final int populationSize = 100; + + DecimalFormat df = new DecimalFormat("0.00"); + + String filename = "results/OE 2" + " G " + iterations + " P " + populationSize + " F " + df.format(MOEAD_RS.F) + + " M " + df.format(MOEAD_RS.M) + " corssover: " + enableNewCrossover + " mutation: " + + enableNewMutation + " improve: " + enableImrpove + " Elitism: " + enableElitism; + System.out.println("\n" + filename); + + final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config, of, urgency, iterations, populationSize, + rng, 2); + + jeep.lang.Diag.println("#front: " + or.getReconfigurations().size()); + List<List<Value>> results = new ArrayList<List<Value>>(); + + for (Configuration c : or.getReconfigurations()) { + List<Value> result = new ArrayList<Value>(); + result.add(c.getKeyObjectives().get("makespan")); + + if (c.getKeyObjectives().get("Std Weiss amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Std Weiss amount discrepancy score")); + + if (c.getKeyObjectives().get("Weiss Matt amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Weiss Matt amount discrepancy score")); + + if (c.getKeyObjectives().get("Super Glanz amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Super Glanz amount discrepancy score")); + + if (c.getKeyObjectives().get("Weiss Basis amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Weiss Basis amount discrepancy score")); + + results.add(result); + } + + String finalResult = filename + "\n"; + List<Double> sums = new ArrayList<Double>(); + List<List<Double>> analysableResults = new ArrayList<List<Double>>(); + for (int j = 0; j < results.get(0).size(); j++) { + analysableResults.add(new ArrayList<Double>()); + } + + for (int j = 0; j < results.size(); j++) { + double sum = 0; + Real makespan = (Real) results.get(j).get(0); + finalResult += makespan.value + " "; + analysableResults.get(0).add(makespan.value); + + for (int k = 1; k < results.get(j).size() - 1; k++) { + Int objective = (Int) results.get(j).get(k); + finalResult += objective.value + " "; + sum += objective.value; + analysableResults.get(k).add((double) objective.value); + } + + Int objective = (Int) results.get(j).get(results.get(j).size() - 1); + finalResult += objective.value + "\n"; + + analysableResults.get(results.get(j).size() - 1).add((double) objective.value); + + sum += objective.value; + sums.add(sum); + } + finalResult += "\n"; + + System.out.println(finalResult); + + df = new DecimalFormat("0.00"); + + for (int j = 0; j < analysableResults.size(); j++) { + DoubleSummaryStatistics stats = analysableResults.get(j).stream().mapToDouble((x) -> x).summaryStatistics(); + System.out.println("Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + + " Max: " + df.format(stats.getMax())); + } + DoubleSummaryStatistics stats = sums.stream().mapToDouble((x) -> x).summaryStatistics(); + System.out.println("Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + " Max: " + + df.format(stats.getMax()) + " SUM."); + + System.out.println("Test prove MOEAD success! "); + } + + private void testNSGA2() { + + final Random rng = new ec.util.MersenneTwister(0xDEADBEEF); + final int percentageAvailability = 100; + final ConfigurationType ct = OasHardwiredConfigurationType.hardwiredConfigurationType(percentageAvailability, + rng); + final ObjectiveFunction.LocalObjectiveFunction of = new OasObjectiveFunction( + OasHardwiredConfigurationType.hardwiredCommodities()); + final Configuration config = Utility.randomConfiguration(ct, rng); + + final int urgency = 50; + final int iterations = 100; + final int populationSize = 100; + + DecimalFormat df = new DecimalFormat("0.00"); + + String filename = "results/OE 0" + " G " + iterations + " P " + populationSize + " F " + df.format(MOEAD_RS.F) + + " M " + df.format(MOEAD_RS.M); + System.out.println("\n" + filename); + + final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config, of, urgency, iterations, populationSize, + rng, 0); + + jeep.lang.Diag.println("#front: " + or.getReconfigurations().size()); + List<List<Value>> results = new ArrayList<List<Value>>(); + + for (Configuration c : or.getReconfigurations()) { + List<Value> result = new ArrayList<Value>(); + result.add(c.getKeyObjectives().get("makespan")); + + if (c.getKeyObjectives().get("Std Weiss amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Std Weiss amount discrepancy score")); + + if (c.getKeyObjectives().get("Weiss Matt amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Weiss Matt amount discrepancy score")); + + if (c.getKeyObjectives().get("Super Glanz amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Super Glanz amount discrepancy score")); + + if (c.getKeyObjectives().get("Weiss Basis amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Weiss Basis amount discrepancy score")); + + results.add(result); + } + + String finalResult = filename + "\n"; + List<Double> sums = new ArrayList<Double>(); + List<List<Double>> analysableResults = new ArrayList<List<Double>>(); + for (int j = 0; j < results.get(0).size(); j++) { + analysableResults.add(new ArrayList<Double>()); + } + + for (int j = 0; j < results.size(); j++) { + double sum = 0; + Real makespan = (Real) results.get(j).get(0); + finalResult += makespan.value + " "; + analysableResults.get(0).add(makespan.value); + + for (int k = 1; k < results.get(j).size() - 1; k++) { + Int objective = (Int) results.get(j).get(k); + finalResult += objective.value + " "; + sum += objective.value; + analysableResults.get(k).add((double) objective.value); + } + + Int objective = (Int) results.get(j).get(results.get(j).size() - 1); + finalResult += objective.value + "\n"; + + analysableResults.get(results.get(j).size() - 1).add((double) objective.value); + + sum += objective.value; + sums.add(sum); + } + finalResult += "\n"; + + System.out.println(finalResult); + + df = new DecimalFormat("0.00"); + + for (int j = 0; j < analysableResults.size(); j++) { + DoubleSummaryStatistics stats = analysableResults.get(j).stream().mapToDouble((x) -> x).summaryStatistics(); + System.out.println("Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + + " Max: " + df.format(stats.getMax())); + } + DoubleSummaryStatistics stats = sums.stream().mapToDouble((x) -> x).summaryStatistics(); + System.out.println("Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + " Max: " + + df.format(stats.getMax()) + " SUM."); + + System.out.println("Test prove MOEAD success! "); + } + + @Test + public void TestNewMutation() { + System.out.println("Test Mutation begin"); + + MOEAD_RS.enableElitism = false; + MOEAD_RS.enableImrpove = false; + MOEAD_RS.enableNewCrossover = false; + MOEAD_RS.enableNewMutation = true; + + testMOEAD_RS(MOEAD_RS.enableNewCrossover, MOEAD_RS.enableNewMutation, MOEAD_RS.enableImrpove, + MOEAD_RS.enableElitism); + testMOEAD(); + System.out.println("Test Mutation ends"); + } + + @Test + public void TestNewCrossover() { + System.out.println("Test Crossover begin"); + + MOEAD_RS.enableElitism = false; + MOEAD_RS.enableImrpove = false; + MOEAD_RS.enableNewCrossover = true; + MOEAD_RS.enableNewMutation = false; + + testMOEAD_RS(MOEAD_RS.enableNewCrossover, MOEAD_RS.enableNewMutation, MOEAD_RS.enableImrpove, + MOEAD_RS.enableElitism); + testMOEAD(); + System.out.println("Test Crossover ends"); + } + + @Test + public void TestImprove() { + System.out.println("Test improve begin"); + + MOEAD_RS.enableElitism = false; + MOEAD_RS.enableImrpove = true; + MOEAD_RS.enableNewCrossover = false; + MOEAD_RS.enableNewMutation = false; + + testMOEAD_RS(MOEAD_RS.enableNewCrossover, MOEAD_RS.enableNewMutation, MOEAD_RS.enableImrpove, + MOEAD_RS.enableElitism); + testMOEAD(); + System.out.println("Test improve ends"); + } + + @Test + public void TestElitism() { + System.out.println("Test Elitism begin"); + + MOEAD_RS.enableElitism = true; + MOEAD_RS.enableImrpove = false; + MOEAD_RS.enableNewCrossover = false; + MOEAD_RS.enableNewMutation = false; + + // testMOEAD_RS(MOEAD_RS.enableNewCrossover, MOEAD_RS.enableNewMutation, + // MOEAD_RS.enableImrpove, + // MOEAD_RS.enableElitism); + testMOEAD(); + System.out.println("Test Elitism ends"); + } + + @Test + public void testNewFacilities() { + + OasHardwiredConfigurationType.Number_Of_Mixers = 15; + OasHardwiredConfigurationType.AmountRequired[0] = 65; + OasHardwiredConfigurationType.AmountRequired[1] = 60; + OasHardwiredConfigurationType.AmountRequired[2] = 45; + OasHardwiredConfigurationType.AmountRequired[3] = 30; + + TestNewCrossover(); + TestNewMutation(); + TestImprove(); + TestElitism(); + + OasHardwiredConfigurationType.Number_Of_Mixers = 20; + OasHardwiredConfigurationType.AmountRequired[0] = 45; + OasHardwiredConfigurationType.AmountRequired[1] = 40; + OasHardwiredConfigurationType.AmountRequired[2] = 30; + OasHardwiredConfigurationType.AmountRequired[3] = 20; + + TestNewCrossover(); + TestNewMutation(); + TestImprove(); + TestElitism(); + + OasHardwiredConfigurationType.Number_Of_Mixers = 20; + OasHardwiredConfigurationType.AmountRequired[0] = 90; + OasHardwiredConfigurationType.AmountRequired[1] = 80; + OasHardwiredConfigurationType.AmountRequired[2] = 60; + OasHardwiredConfigurationType.AmountRequired[3] = 40; + + TestNewCrossover(); + TestNewMutation(); + TestImprove(); + TestElitism(); + + OasHardwiredConfigurationType.Number_Of_Mixers = 10; + OasHardwiredConfigurationType.AmountRequired[0] = 90; + OasHardwiredConfigurationType.AmountRequired[1] = 80; + OasHardwiredConfigurationType.AmountRequired[2] = 60; + OasHardwiredConfigurationType.AmountRequired[3] = 40; + + TestNewCrossover(); + TestNewMutation(); + TestImprove(); + TestElitism(); + + OasHardwiredConfigurationType.Number_Of_Mixers = 10; + OasHardwiredConfigurationType.AmountRequired[0] = 45; + OasHardwiredConfigurationType.AmountRequired[1] = 40; + OasHardwiredConfigurationType.AmountRequired[2] = 30; + OasHardwiredConfigurationType.AmountRequired[3] = 20; + + TestNewCrossover(); + TestNewMutation(); + TestImprove(); + TestElitism(); + } + + @Test + public void testScale() { + System.out.println("Test scale begins"); + + for (int i = 1; i <= 10; i++) { + + System.out.println("Sacle Factor: " + i); + OasHardwiredConfigurationType.Number_Of_Mixers = 10 * i; + OasHardwiredConfigurationType.AmountRequired[0] = 45 * i; + OasHardwiredConfigurationType.AmountRequired[1] = 40 * i; + OasHardwiredConfigurationType.AmountRequired[2] = 30 * i; + OasHardwiredConfigurationType.AmountRequired[3] = 20 * i; + + // testMOEAD_RS(MOEAD_RS.enableNewCrossover, MOEAD_RS.enableNewMutation, + // MOEAD_RS.enableImrpove, + // MOEAD_RS.enableElitism); + // + System.out.println("Scale Factor: " + i + " Ends."); + testMOEAD(); + + } + + System.out.println("Test scale ends"); + } + + @Test + public void experimentOneScale() { + System.out.println("scale begins"); + + int i = 1; + + System.out.println("Sacle Factor: " + i); + OasHardwiredConfigurationType.Number_Of_Mixers = 10 * i; + OasHardwiredConfigurationType.AmountRequired[0] = 45 * i; + OasHardwiredConfigurationType.AmountRequired[1] = 40 * i; + OasHardwiredConfigurationType.AmountRequired[2] = 30 * i; + OasHardwiredConfigurationType.AmountRequired[3] = 20 * i; + + testNSGA2(); + + System.out.println("Scale: " + i + " Ends."); + + System.out.println("Test scale ends"); + } + + @Test + public void experimentOneScale2() { + + // OasHardwiredConfigurationType.Number_Of_Mixers = 15; + // OasHardwiredConfigurationType.AmountRequired[0] = 65; + // OasHardwiredConfigurationType.AmountRequired[1] = 60; + // OasHardwiredConfigurationType.AmountRequired[2] = 45; + // OasHardwiredConfigurationType.AmountRequired[3] = 30; + // + // testNSGA2(); + // testMOEAD_RS(true, true, false, true); + // + // OasHardwiredConfigurationType.Number_Of_Mixers = 20; + // OasHardwiredConfigurationType.AmountRequired[0] = 45; + // OasHardwiredConfigurationType.AmountRequired[1] = 40; + // OasHardwiredConfigurationType.AmountRequired[2] = 30; + // OasHardwiredConfigurationType.AmountRequired[3] = 20; + // + // testNSGA2(); + // testMOEAD_RS(true, true, false, true); + + OasHardwiredConfigurationType.Number_Of_Mixers = 20; + OasHardwiredConfigurationType.AmountRequired[0] = 90; + OasHardwiredConfigurationType.AmountRequired[1] = 80; + OasHardwiredConfigurationType.AmountRequired[2] = 60; + OasHardwiredConfigurationType.AmountRequired[3] = 40; + + // testNSGA2(); + testMOEAD_RS(true, true, false, true); + + OasHardwiredConfigurationType.Number_Of_Mixers = 10; + OasHardwiredConfigurationType.AmountRequired[0] = 90; + OasHardwiredConfigurationType.AmountRequired[1] = 80; + OasHardwiredConfigurationType.AmountRequired[2] = 60; + OasHardwiredConfigurationType.AmountRequired[3] = 40; + + testNSGA2(); + testMOEAD_RS(true, true, false, true); + } + + @Test + public void CompareNSGAandMOEADandMOEA_RS() { + + final int numOEInvocations = 3; + for (int i = 0; i < numOEInvocations; ++i) { + + final Random rng = new ec.util.MersenneTwister(0xDEADBEEF); + final int percentageAvailability = 100; + final ConfigurationType ct = OasHardwiredConfigurationType + .hardwiredConfigurationType(percentageAvailability, rng); + final ObjectiveFunction.LocalObjectiveFunction of = new OasObjectiveFunction( + OasHardwiredConfigurationType.hardwiredCommodities()); + final Configuration config = Utility.randomConfiguration(ct, rng); + + final int urgency = 50; + final int iterations = 100; + final int populationSize = 100; + + System.out.println(); + + final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config, of, urgency, iterations, + populationSize, rng, i); + + jeep.lang.Diag.println("#front: " + or.getReconfigurations().size()); + + List<List<Value>> results = new ArrayList<List<Value>>(); + + for (Configuration c : or.getReconfigurations()) { + List<Value> result = new ArrayList<Value>(); + + result.add(c.getKeyObjectives().get("makespan")); + + if (c.getKeyObjectives().get("Std Weiss amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Std Weiss amount discrepancy score")); + + if (c.getKeyObjectives().get("Weiss Matt amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Weiss Matt amount discrepancy score")); + + if (c.getKeyObjectives().get("Super Glanz amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Super Glanz amount discrepancy score")); + + if (c.getKeyObjectives().get("Weiss Basis amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Weiss Basis amount discrepancy score")); + + results.add(result); + } + List<Double> sums = new ArrayList<Double>(); + List<List<Double>> analysableResults = new ArrayList<List<Double>>(); + for (int j = 0; j < results.get(0).size(); j++) { + analysableResults.add(new ArrayList<Double>()); + } + + String finalResult = "Generations: " + iterations + " Populations: " + populationSize + + " Optimization Engine: " + i + "\n"; + + for (int j = 0; j < results.size(); j++) { + double sum = 0; + Real makespan = (Real) results.get(j).get(0); + finalResult += makespan.value + " "; + analysableResults.get(0).add(makespan.value); + + for (int k = 1; k < results.get(j).size() - 1; k++) { + Int objective = (Int) results.get(j).get(k); + finalResult += objective.value + " "; + sum += objective.value; + analysableResults.get(k).add((double) objective.value); + } + + Int objective = (Int) results.get(j).get(results.get(j).size() - 1); + finalResult += objective.value + "\n"; + + analysableResults.get(results.get(j).size() - 1).add((double) objective.value); + + sum += objective.value; + sums.add(sum); + } + finalResult += "\n"; + System.out.println(finalResult); + + DecimalFormat df = new DecimalFormat("0.00"); + + for (int j = 0; j < analysableResults.size(); j++) { + DoubleSummaryStatistics stats = analysableResults.get(j).stream().mapToDouble((x) -> x) + .summaryStatistics(); + System.out.println("Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + + " Max: " + df.format(stats.getMax())); + } + DoubleSummaryStatistics stats = sums.stream().mapToDouble((x) -> x).summaryStatistics(); + System.out.println("Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + + " Max: " + df.format(stats.getMax()) + " SUM."); + } + } + + /////////////////////////////// + + private void testImpl(ObjectiveFunction.LocalObjectiveFunction of, ConfigurationType ct, Random rng) { + + final Configuration config = Utility.randomConfiguration(ct, rng); + final int engine = 1; + final int urgency = 50; + final int iterations = 5; + final int populationSize = 5; + jeep.lang.Diag.println(ct.getControlledMetrics().size() / 2 + " optimisation started: engine: " + engine + + " population: " + populationSize + " generation: " + iterations); + final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config, of, urgency, iterations, populationSize, + rng, engine); + jeep.lang.Diag.println("#front: " + or.getReconfigurations().size()); + + final Configuration optimisedConfig = or.getReconfigurations().get(0); + String schedInfo = ConfigurationUtilities.getStatusString(optimisedConfig); + System.out.println(ConfigurationUtilities.getStatusString(optimisedConfig)); + + String[] taskInfo = schedInfo.split("\n"); + String resultsJson = "{\n\n"; + + int idCounter = 0; + List<FormattedResultOAS> res = new ArrayList<FormattedResultOAS>(); + for (String s : taskInfo) { + String[] toArray = s.split("_"); + if (toArray.length == 12) { + String year = toArray[0]; + String month = toArray[1]; + String day = toArray[2]; + String startTime = toArray[3]; + String endTime = toArray[4]; + String id = idCounter + ""; + String productName = toArray[5]; + String recipeType = toArray[6]; + String instanceNumber = toArray[7]; + String amountProduced = toArray[8]; + String mixerID = toArray[9]; + String mixerName = toArray[10]; + String mixerStatus = toArray[11]; + + FormattedResultOAS oneRes = new FormattedResultOAS(year, month, day, startTime, endTime, id, + productName, recipeType, instanceNumber, amountProduced, mixerID, mixerName, mixerStatus); + resultsJson += oneRes.formattedOut(false); + res.add(oneRes); + idCounter++; + + } + } + + resultsJson += "\n}"; + + final String configJSON = new uk.ac.york.safire.metrics.JsonConverter().toJson(optimisedConfig); + final Instant now = Instant.now(); // get time in UTC + final ProducerRecord<String, String> data = new ProducerRecord<String, String>("OptimisationEngineResult", + "timestamp: " + now, configJSON); + + List<List<Value>> results = new ArrayList<List<Value>>(); + + for (Configuration c : or.getReconfigurations()) { + List<Value> result = new ArrayList<Value>(); + + if (c.getKeyObjectives().get("makespan") != null) + result.add(c.getKeyObjectives().get("makespan")); + + if (c.getKeyObjectives().get("energy") != null) + result.add(c.getKeyObjectives().get("energy")); + + if (c.getKeyObjectives().get("montary") != null) + result.add(c.getKeyObjectives().get("montary")); + + if (c.getKeyObjectives().get("urgency") != null) + result.add(c.getKeyObjectives().get("urgency")); + + if (c.getKeyObjectives().get("Std Weiss amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Std Weiss amount discrepancy score")); + + if (c.getKeyObjectives().get("Weiss Matt amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Weiss Matt amount discrepancy score")); + + if (c.getKeyObjectives().get("Super Glanz amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Super Glanz amount discrepancy score")); + + if (c.getKeyObjectives().get("Weiss Basis amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Weiss Basis amount discrepancy score")); + + results.add(result); + } + List<List<Double>> analysableResults = new ArrayList<List<Double>>(); + for (int j = 0; j < results.get(0).size(); j++) { + analysableResults.add(new ArrayList<Double>()); + } + + String finalResult = "Generations: " + iterations + " Populations: " + populationSize + " Optimization Engine: " + + 1 + "\n"; + + for (int j = 0; j < results.size(); j++) { + for (int k = 0; k < results.get(j).size(); k++) { + Real objective = (Real) results.get(j).get(k); + finalResult += objective.value + " "; + analysableResults.get(k).add((double) objective.value); + } + + finalResult += "\n"; + } + finalResult += "\n"; + System.out.println(finalResult); + + DecimalFormat df = new DecimalFormat("0.00"); + + for (int j = 0; j < analysableResults.size(); j++) { + DoubleSummaryStatistics stats = analysableResults.get(j).stream().mapToDouble((x) -> x).summaryStatistics(); + System.out.println("Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + + " Max: " + df.format(stats.getMax())); + } + + System.out.println(ct.getControlledMetrics().size() / 2 + " All down."); + + } + + @Test + public void testOASProductionLine() { + final Random rng = new ec.util.MersenneTwister(0xDEADBEEF); + + int availablePercenetage = 100; + + final ConfigurationType ct = OasProductionLineConfigurationType.hardwiredConfigurationType(rng, + availablePercenetage); + + Set<String> commdities = OasProductionLineConfigurationType.getCommdities(); + + final ObjectiveFunction.LocalObjectiveFunction of = new OasProductionLineObjectiveFunction( + OasProductionLineConfigurationType.setups, commdities); + testImpl(of, ct, rng); + } + + @Test + public void testONA1() { + + // OnaMultipleObjectiveFunction.testDependentTaskParser(); + + // final Random rng = new java.util.Random( 0xDEADBEEF ); + final Random rng = new ec.util.MersenneTwister(0xDEADBEEF); // System.currentTimeMillis()); // 0xDEADBEEF ); + final int percentageAvailability = 100; + final boolean isMultiobjective = true; + final ConfigurationType ct = OnaHardwiredConfigurationType.hardwiredConfigurationType(percentageAvailability, + isMultiobjective, rng); + // final ConfigurationType ct = + // OnaHardwiredConfigurationType.hardwiredConfigurationTypeTwoLevel(percentageAvailability, + // isMultiobjective, rng); + + final ObjectiveFunction.LocalObjectiveFunction of = new OnaMultipleObjectiveFunction(); + jeep.lang.Diag.println(of.getClass().getName()); + testImpl(of, ct, rng); + jeep.lang.Diag.println("All done."); + } + + /////////////////////////////// + + @Test + public void testONA2() { + + // OnaMultipleObjectiveFunction.testDependentTaskParser(); + + // final Random rng = new java.util.Random( 0xDEADBEEF ); + final Random rng = new ec.util.MersenneTwister(0xDEADBEEF); // System.currentTimeMillis()); // 0xDEADBEEF ); + final int percentageAvailability = 100; + final boolean isMultiobjective = true; + // final ConfigurationType ct = + // OnaHardwiredConfigurationType.hardwiredConfigurationType(percentageAvailability, + // isMultiobjective, rng); + // final ConfigurationType ct = + // OnaHardwiredConfigurationType.hardwiredConfigurationTypeTwoLevel(percentageAvailability, + // isMultiobjective, rng); + + final int scalingFactor = 5; + final int numStage1Recipes = 10 * scalingFactor; + final int numStage2Recipes = 10 * scalingFactor; + + final ConfigurationType ct = OnaHardwiredConfigurationType.scalableHardwiredConfigurationTypeTwoLevel( + percentageAvailability, isMultiobjective, numStage1Recipes, numStage2Recipes, rng); + + // final ConfigurationType ct = + // OnaHardwiredConfigurationType.toyConfigurationType(percentageAvailability, + // isMultiobjective, rng); + // final ObjectiveFunction.LocalObjectiveFunction of = new + // OnaSingleObjectiveFunction(); + final ObjectiveFunction.LocalObjectiveFunction of = new OnaMultipleObjectiveFunction(); + jeep.lang.Diag.println(of.getClass().getName()); + testImpl(of, ct, rng); + jeep.lang.Diag.println("All done."); + } + + /////////////////////////////// + + @Test + public void testONAPreemptive() { + + // final double longMax = Long.MAX_VALUE; + // jeep.lang.Diag.println( factorial(21) - longMax ); + // System.exit(0); + + final Random rng = new ec.util.MersenneTwister(0xDEADBEEF); // System.currentTimeMillis()); // 0xDEADBEEF ); + + final Pair<Map<String, List<RecipeInfo>>, String[]> recipesAndResources = PreemptiveOnaConfigurationType + .toyExampleRecipesAndResourceNames(); + final Map<String, List<RecipeInfo>> recipeInfo = recipesAndResources.getLeft(); + final String[] resourceNames = recipesAndResources.getRight(); + + final boolean isMultiobjective = true; + + final ConfigurationType ct = PreemptiveOnaConfigurationType.configurationType(recipeInfo, resourceNames, + isMultiobjective, rng); + + final double density = 1.0; + final int maxDuration = 1000; + final int maxCost = 1000; + final List<RecipeInfo> allRecipes = recipeInfo.values().stream().flatMap(List::stream) + .collect(Collectors.toList()); + final List<SequenceDependentTaskInfo> sequenceDependentTasks = SequenceDependentTaskInfo + .makeRandomSequenceDependantTasksOAS(allRecipes, resourceNames, density, maxDuration, maxCost, 1000, + rng); + + final ObjectiveFunction.LocalObjectiveFunction of = new PreemptionIAObjectiveFunction(sequenceDependentTasks); + testImpl(of, ct, rng); + } + + @Test + public void testONAXML() { + + ONAFactoryModel.runWith14 = true; + ONAXMLWriter.write(); + + final Random rng = new ec.util.MersenneTwister(1000); // System.currentTimeMillis()); // 0xDEADBEEF ); + + final Pair<Map<String, List<RecipeInfo>>, String[]> recipesAndResources = OnaConfigurationType + .recipesAndResourceNames(); + final Map<String, List<RecipeInfo>> recipeInfo = recipesAndResources.getLeft(); + final String[] resourceNames = recipesAndResources.getRight(); + + final boolean isMultiobjective = true; + + final ConfigurationType ct = OnaConfigurationType.configurationType(recipeInfo, resourceNames, isMultiobjective, + rng); + + final ObjectiveFunction.LocalObjectiveFunction of = new PreemptionIAObjectiveFunction( + OnaConfigurationType.getSetUps()); + testImpl(of, ct, rng); + } + + @Test + public void testElectrolux() { + final Random rng = new ec.util.MersenneTwister(0xDEADBEEF); + + UoYEarlyPrototypeDemo.globalBCRef = BusinessCase.Electrolux; + + int availablePercenetage = 100; + + final ConfigurationType ct = ElectroluxConfigurationType.hardwiredConfigurationType(rng, availablePercenetage); + + Set<String> commdities = ElectroluxConfigurationType.getCommdities(); + + final ObjectiveFunction.LocalObjectiveFunction of = new ElectroluxObjectiveFunction( + ElectroluxConfigurationType.setups, commdities); + + testElectroluxImpl(of, ct, rng); + } + + private void testElectroluxImpl(ObjectiveFunction.LocalObjectiveFunction of, ConfigurationType ct, Random rng) { + + final Configuration config = Utility.randomConfiguration(ct, rng); + final int engine = 2; + final int urgency = 50; + + final int iterations = 10; + final int populationSize = 5; + + jeep.lang.Diag.println(ct.getControlledMetrics().size() / 2 + " optimisation started: engine: " + engine + + " population: " + populationSize + " generation: " + iterations); + final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config, of, urgency, iterations, populationSize, + rng, engine); + jeep.lang.Diag.println("#front: " + or.getReconfigurations().size()); + + List<List<Value>> results = new ArrayList<List<Value>>(); + + for (Configuration c : or.getReconfigurations()) { + List<Value> result = new ArrayList<Value>(); + + if (c.getKeyObjectives().get("makespan") != null) + result.add(c.getKeyObjectives().get("makespan")); + + if (c.getKeyObjectives().get("energy") != null) + result.add(c.getKeyObjectives().get("energy")); + + if (c.getKeyObjectives().get("montary") != null) + result.add(c.getKeyObjectives().get("montary")); + + if (c.getKeyObjectives().get("urgency") != null) + result.add(c.getKeyObjectives().get("urgency")); + + if (c.getKeyObjectives().get("quality") != null) + result.add(c.getKeyObjectives().get("quality")); + + if (c.getKeyObjectives().get("Boiled Water amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Boiled Water amount discrepancy score")); + + if (c.getKeyObjectives().get("Pasta amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Pasta amount discrepancy score")); + + if (c.getKeyObjectives().get("Rice amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Rice amount discrepancy score")); + + if (c.getKeyObjectives().get("Beef amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Beef amount discrepancy score")); + + if (c.getKeyObjectives().get("Potato amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Potato amount discrepancy score")); + + if (c.getKeyObjectives().get("Mushroom amount discrepancy score") != null) + result.add(c.getKeyObjectives().get("Mushroom amount discrepancy score")); + + results.add(result); + } + List<List<Double>> analysableResults = new ArrayList<List<Double>>(); + for (int j = 0; j < results.get(0).size(); j++) { + analysableResults.add(new ArrayList<Double>()); + } + + String finalResult = "Generations: " + iterations + " Populations: " + populationSize + "\n"; + + for (int j = 0; j < results.size(); j++) { + for (int k = 0; k < results.get(j).size(); k++) { + Real objective = (Real) results.get(j).get(k); + finalResult += objective.value + " "; + analysableResults.get(k).add((double) objective.value); + } + + finalResult += "\n"; + } + finalResult += "\n"; + System.out.println(finalResult); + + DecimalFormat df = new DecimalFormat("0.00"); + + for (int j = 0; j < analysableResults.size(); j++) { + DoubleSummaryStatistics stats = analysableResults.get(j).stream().mapToDouble((x) -> x).summaryStatistics(); + System.out.println("Average: " + df.format(stats.getAverage()) + " Min: " + df.format(stats.getMin()) + + " Max: " + df.format(stats.getMax())); + } + + System.out.println(ct.getControlledMetrics().size() / 2 + " All down."); + + } + +} + // End /////////////////////////////////////////////////////////////// \ No newline at end of file diff --git a/src/test/java/uk/ac/york/safire/optimisation/ia/TestOnaObjectiveFunction.java b/src/test/java/uk/ac/york/safire/optimisation/ia/TestOnaObjectiveFunction.java index 4ab5dcc3ecd3e25dda6a7cb3a02ddc910cf82c18..c5ba63e12f5078d3d90a81a87833eeb826c6a24a 100644 --- a/src/test/java/uk/ac/york/safire/optimisation/ia/TestOnaObjectiveFunction.java +++ b/src/test/java/uk/ac/york/safire/optimisation/ia/TestOnaObjectiveFunction.java @@ -1,330 +1,334 @@ -package uk.ac.york.safire.optimisation.ia; - -import java.util.ArrayList; -import java.util.Arrays; -import java.util.HashMap; -import java.util.List; -import java.util.Map; -import java.util.Random; -import java.util.function.BiPredicate; -import java.util.stream.Collectors; - -import org.apache.commons.math3.stat.StatUtils; -import org.apache.commons.math3.util.Pair; -import org.junit.Test; - -import com.google.common.collect.Lists; -import com.google.common.primitives.Doubles; - -import uk.ac.york.safire.metrics.Configuration; -import uk.ac.york.safire.metrics.ConfigurationType; -import uk.ac.york.safire.metrics.OptimisationResult; -import uk.ac.york.safire.metrics.Utility; -import uk.ac.york.safire.metrics.ValueVisitor; -import uk.ac.york.safire.optimisation.ObjectiveFunction; -import uk.ac.york.safire.optimisation.OptmisationUtility; -import uk.ac.york.safire.optimisation.mitm.atb.ATBSimulatorKafkaProducer; -import uk.ac.york.safire.optimisation.mitm.atb.OnaHardwiredConfigurationType; -import uk.ac.york.safire.optimisation.mitm.atb.OnaSingleObjectiveFunction; -import uk.ac.york.safire.optimisation.mitm.atb.UoYEarlyPrototypeDemo; -import uk.ac.york.safire.optimisation.mitm.atb.ATBSimulatorKafkaProducer.RecipeInfo; - -/////////////////////////////////// - -public class TestOnaObjectiveFunction { - - @Test - public void testWeightedMultiobjectives() { - final Random rng = new java.util.Random( 0xDEADBEEF ); - - final int percentageAvailability = 100; - - final int JMAX = 11; - - // final ConfigurationType ct = OnaHardwiredConfigurationType.hardwiredConfigurationType(percentageAvailability, rng); - final boolean isMultiObjective = false; - final ConfigurationType ct = tinyHardwiredConfigurationType(percentageAvailability, isMultiObjective, rng); - final Configuration config = Utility.randomConfiguration(ct, rng); - - final ObjectiveFunction.LocalObjectiveFunction of = new OnaSingleObjectiveFunction(); - - /////////////////////////// - - final int numOEInvocations = 30; - for( int j=0; j<JMAX; ++j ) { - - OnaSingleObjectiveFunction.W1_$eq( jeep.math.LinearInterpolation.apply(j, 0, JMAX - 1, 0.0, 1.0) ); - OnaSingleObjectiveFunction.W2_$eq( 1.0 - OnaSingleObjectiveFunction.W1() ); - - // jeep.lang.Diag.println( "W1: " + OnaObjectiveFunction.W1() + " " + OnaObjectiveFunction.W2() ); - -// final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config,of,rng); -// final Configuration finalConfig = or.getReconfigurations().get(0); - -// ValueVisitor< Number > visitor = new ValueVisitor.NumberVisitor(); -// final double makespan = visitor.visit( finalConfig.getKeyObjectives().get("makespan") ).doubleValue(); -// final double cost = visitor.visit( finalConfig.getKeyObjectives().get("totalcost") ).doubleValue(); -// final double normalisedMakespan = visitor.visit( finalConfig.getKeyObjectives().get("makespan-normalised") ).doubleValue(); -// final double normalisedCost = visitor.visit( finalConfig.getKeyObjectives().get("totalcost-normalised") ).doubleValue(); -// -// System.out.printf( "makespan: %f, cost: %f\n", makespan, cost ); -// System.out.printf( "makespan-normalised: %f, cost-normalised: %f\n", normalisedMakespan, normalisedCost ); - averageOEResults(numOEInvocations, config, of, rng); - } - } - - /////////////////////////////// - - public static ConfigurationType - tinyHardwiredConfigurationType(int percentageAvailability, boolean isMultiobjective, Random random) { - - final String [] resourceNames = { - "Medium 1", "Large 1", "Medium 2", "Large 2", - "Medium 3", "Large 3", "Medium 4", "Large 4" - }; - - // Convention: resource names prefixes (up to the first space) denote the same resource - // hence they are mutually exclusive: - final BiPredicate< String, String > mutex = (String resource1,String resource2) -> { - final String [] s1 = resource1.split( " " ); - final String [] s2 = resource2.split( " " ); - return ( s1.length == 0 && s2.length == 0 ) || ( s1[0].equals( s2[0] ) ); - }; - - final java.util.function.Function< String [], List< Integer > > resourceIndices = ( String [] names ) -> { - List< Integer > result = Arrays.asList(names).stream().map( - (String nm) -> Arrays.asList(resourceNames).indexOf( nm ) ).collect(Collectors.toList()); - if( result.contains(-1) ) - jeep.lang.Diag.println( Arrays.toString(names) + " contains bad string:\n" + result ); - - return result; - }; - - final Map< Pair< String, String >, Boolean > mutices = new HashMap<>(); - for( String r1: resourceNames ) - for( String r2: resourceNames ) - mutices.put( Pair.create(r1,r2), mutex.test(r1,r2 ) ); - - final Map< String, List< RecipeInfo > > recipeInfo = new HashMap<>(); - - recipeInfo.put( "P12", Lists.newArrayList( new RecipeInfo( "P12", 1, - // resourceIndices.apply(new String [] { "Large 1", "Large 2", "Large 3", "Large 4" } ) - resourceIndices.apply(resourceNames ) - ) ) ); - - - recipeInfo.put( "P13", Lists.newArrayList( new RecipeInfo( "P13", 1, - // resourceIndices.apply(new String [] { "Large 1", "Large 2", "Large 3", "Large 4" } ) - resourceIndices.apply( resourceNames ) - ) ) ); - - - recipeInfo.put( "P14", Lists.newArrayList( new RecipeInfo( "P14", 1, - // resourceIndices.apply(new String [] { "Large 1", "Large 2", "Large 3", "Large 4" } ) - resourceIndices.apply( resourceNames ) - ) ) ); - - - final Map< Pair< String, String >, Double > recipeAndResourceNameToCost = new HashMap<>(); - - recipeAndResourceNameToCost.put( Pair.create( "P12", "Large 1" ), 2058.4 ); - recipeAndResourceNameToCost.put( Pair.create( "P12", "Large 2" ), 2908.8 ); - recipeAndResourceNameToCost.put( Pair.create( "P12", "Large 3" ), 1883.1 ); - recipeAndResourceNameToCost.put( Pair.create( "P12", "Large 4" ), 1816.1 ); - - recipeAndResourceNameToCost.put( Pair.create( "P13", "Large 1" ), 4651.4 ); - recipeAndResourceNameToCost.put( Pair.create( "P13", "Large 2" ), 6573.1 ); - recipeAndResourceNameToCost.put( Pair.create( "P13", "Large 3" ), 4255.4 ); - recipeAndResourceNameToCost.put( Pair.create( "P13", "Large 4" ), 3566.2 ); - - recipeAndResourceNameToCost.put( Pair.create( "P14", "Large 1" ), 6201.9 ); - recipeAndResourceNameToCost.put( Pair.create( "P14", "Large 2" ), 8764.1 ); - recipeAndResourceNameToCost.put( Pair.create( "P14", "Large 3" ), 5673.8 ); - recipeAndResourceNameToCost.put( Pair.create( "P14", "Large 4" ), 4754.9 ); - - recipeAndResourceNameToCost.put( Pair.create( "P12", "Medium 1" ), 2058.4 / 2.0 ); - recipeAndResourceNameToCost.put( Pair.create( "P12", "Medium 2" ), 2908.8 / 2.0 ); - recipeAndResourceNameToCost.put( Pair.create( "P12", "Medium 3" ), 1883.1 / 2.0 ); - recipeAndResourceNameToCost.put( Pair.create( "P12", "Medium 4" ), 1816.1 / 2.0 ); - - recipeAndResourceNameToCost.put( Pair.create( "P13", "Medium 1" ), 4651.4 / 2.0 ); - recipeAndResourceNameToCost.put( Pair.create( "P13", "Medium 2" ), 6573.1 / 2.0 ); - recipeAndResourceNameToCost.put( Pair.create( "P13", "Medium 3" ), 4255.4 / 2.0 ); - recipeAndResourceNameToCost.put( Pair.create( "P13", "Medium 4" ), 3566.2 / 2.0 ); - - recipeAndResourceNameToCost.put( Pair.create( "P14", "Medium 1" ), 6201.9 / 2.0 ); - recipeAndResourceNameToCost.put( Pair.create( "P14", "Medium 2" ), 8764.1 / 2.0 ); - recipeAndResourceNameToCost.put( Pair.create( "P14", "Medium 3" ), 5673.8 / 2.0 ); - recipeAndResourceNameToCost.put( Pair.create( "P14", "Medium 4" ), 4754.9 / 2.0 ); - - /////////////////////////// - - final Map< Pair< String, String >, Integer > recipeAndResourceNameToCuttingTime = new HashMap<>(); - - recipeAndResourceNameToCuttingTime.put( Pair.create( "P12", "Large 1" ), (int)(60 * 3337.9 ) ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P12", "Large 2" ), (int)(60 * 4768.5 ) ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P12", "Large 3" ), (int)(60 * 2953.9 ) ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P12", "Large 4" ), (int)(60 * 2688.9 ) ); - - recipeAndResourceNameToCuttingTime.put( Pair.create( "P13", "Large 1" ), (int)(60 * 7542.9 ) ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P13", "Large 2" ), (int)(60 * 10775.5 ) ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P13", "Large 3" ), (int)(60 * 6675.1 ) ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P13", "Large 4" ), (int)(60 * 5280.0 ) ); - - recipeAndResourceNameToCuttingTime.put( Pair.create( "P14", "Large 1" ), (int)(60 * 10057.1 ) ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P14", "Large 2" ), (int)(60 * 14367.3 ) ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P14", "Large 3" ), (int)(60 * 8900.1 ) ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P14", "Large 4" ), (int)(60 * 7040.0 ) ); - - recipeAndResourceNameToCuttingTime.put( Pair.create( "P12", "Medium 1" ), (int)(60 * 3337.9 ) * 2 ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P12", "Medium 2" ), (int)(60 * 4768.5 ) * 2 ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P12", "Medium 3" ), (int)(60 * 2953.9 ) * 2 ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P12", "Medium 4" ), (int)(60 * 2688.9 ) * 2 ); - - recipeAndResourceNameToCuttingTime.put( Pair.create( "P13", "Medium 1" ), (int)(60 * 7542.9 ) * 2 ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P13", "Medium 2" ), (int)(60 * 10775.5 ) * 2 ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P13", "Medium 3" ), (int)(60 * 6675.1 ) * 2 ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P13", "Medium 4" ), (int)(60 * 5280.0 ) * 2 ); - - recipeAndResourceNameToCuttingTime.put( Pair.create( "P14", "Medium 1" ), (int)(60 * 10057.1 ) * 2 ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P14", "Medium 2" ), (int)(60 * 14367.3 ) * 2 ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P14", "Medium 3" ), (int)(60 * 8900.1 ) * 2 ); - recipeAndResourceNameToCuttingTime.put( Pair.create( "P14", "Medium 4" ), (int)(60 * 7040.0 ) * 2 ); - - /////////////////////////// - - return OnaHardwiredConfigurationType.makeConfigurationType( - recipeInfo, resourceNames, - recipeAndResourceNameToCost, - percentageAvailability, - recipeAndResourceNameToCuttingTime, - mutices, - isMultiobjective, - random ); - } - - /////////////////////////////// - - private static void averageOEResults(int numInvocations, Configuration config, ObjectiveFunction.LocalObjectiveFunction of, Random rng) { - - final List< Double > costs = new ArrayList<>(); - final List< Double > makespans = new ArrayList<>(); - - for( int i=0; i<numInvocations; ++i ) { - - final int urgency = 50; - final int iterations = 100; - final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config,of,urgency,iterations,rng); - final Configuration finalConfig = or.getReconfigurations().get(0); - - ValueVisitor< Number > visitor = new ValueVisitor.NumberVisitor(); - final double makespan = visitor.visit( finalConfig.getKeyObjectives().get("makespan") ).doubleValue(); - final double cost = visitor.visit( finalConfig.getKeyObjectives().get("totalcost") ).doubleValue(); - - costs.add(cost); - makespans.add(makespan); - } - - System.out.printf( "W1: %f, W2: %f\n", OnaSingleObjectiveFunction.W1(), OnaSingleObjectiveFunction.W2() ); - - { - final Double mean = StatUtils.mean(Doubles.toArray(costs)); - final Double sd = Math.sqrt(StatUtils.populationVariance(Doubles.toArray(costs))); - final Double min = StatUtils.min(Doubles.toArray(costs)); - final Double max = StatUtils.max(Doubles.toArray(costs)); - System.out.printf( "cost -- min: %f, max: %f, mean: %f, sd: %f\n", min, max, mean, sd ); - } - { - final Double mean = StatUtils.mean(Doubles.toArray(makespans)); - final Double sd = Math.sqrt(StatUtils.populationVariance(Doubles.toArray(makespans))); - final Double min = StatUtils.min(Doubles.toArray(makespans)); - final Double max = StatUtils.max(Doubles.toArray(makespans)); - System.out.printf( "makespan -- min: %f, max: %f, mean: %f, sd: %f\n", min, max, mean, sd ); - } - } - - /////////////////////////////// - - private static List< Pair< Double, Double > > - makespansAndCosts(OptimisationResult or) { - - List< Pair< Double, Double > > result = new ArrayList<>(); - for( Configuration config: or.getReconfigurations()) { - - ValueVisitor< Number > visitor = new ValueVisitor.NumberVisitor(); - final Double makespan = visitor.visit( config.getKeyObjectives().get("makespan") ).doubleValue(); - final Double cost = visitor.visit( config.getKeyObjectives().get("totalcost") ).doubleValue(); - result.add(Pair.create(makespan,cost) ); - } - - return result; - } - - /////////////////////////////// - - @Test - public void test() { - final Random rng = new java.util.Random( 0xDEADBEEF ); - - final int percentageAvailability = 70; -jeep.lang.Diag.println( "percentageAvailability: " + percentageAvailability ); - - final boolean isMultiObjective = false; - final ConfigurationType ct = tinyHardwiredConfigurationType(percentageAvailability, isMultiObjective, rng); - final Configuration config = Utility.randomConfiguration(ct, rng); - - OnaSingleObjectiveFunction.parseUnavailability(config); - - final ObjectiveFunction.LocalObjectiveFunction of = new OnaSingleObjectiveFunction(); - final int urgency = 50; - - // final int numOEInvocations = 30; - - List< Pair< Double, Double > > mc1, mc2; - - { - OnaSingleObjectiveFunction.W1_$eq( 0.0 ); - OnaSingleObjectiveFunction.W2_$eq( 1.0 - OnaSingleObjectiveFunction.W1() ); - - jeep.lang.Diag.println( "OF weightings: W1: " + OnaSingleObjectiveFunction.W1() + ", W2: " + OnaSingleObjectiveFunction.W2() ); - - final int iterations = 500; - final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config,of,urgency,iterations, rng); - // final Configuration finalConfig = or.getReconfigurations().get(0); - // jeep.lang.Diag.println( ATBSimulatorKafkaProducer.getStatusString(finalConfig) ); - - // System.out.printf( "makespan: %f, cost: %f\n", makespan, cost ); - // averageOEResults(numOEInvocations, config, of, rng); - mc1 = makespansAndCosts(or); - // System.out.println( "makespans and costs: " + mc1.size() ); - System.out.println( "makespans and costs: " + mc1 ); - jeep.lang.Diag.println( OptmisationUtility.keyObjectivesHistogram(or.getReconfigurations() ) ); - } - { - OnaSingleObjectiveFunction.W1_$eq( 1.0 ); - OnaSingleObjectiveFunction.W2_$eq( 1.0 - OnaSingleObjectiveFunction.W1() ); - jeep.lang.Diag.println( "=========================================================" ); - jeep.lang.Diag.println( "OF weightings: W1: " + OnaSingleObjectiveFunction.W1() + ", W2: " + OnaSingleObjectiveFunction.W2() ); - final int iterations = 100; - final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config,of,urgency,iterations,rng); - mc2 = makespansAndCosts(or); - System.out.println( "makespans and costs: " + mc2 ); - - jeep.lang.Diag.println( OptmisationUtility.keyObjectivesHistogram(or.getReconfigurations() ) ); - // System.out.println( "makespans and costs: " + makespansAndCosts(or) ); - -// final Configuration finalConfig = or.getReconfigurations().get(0); -// // jeep.lang.Diag.println( ATBSimulatorKafkaProducer.getStatusString(finalConfig) ); -// -// ValueVisitor< Number > visitor = new ValueVisitor.NumberVisitor(); -// final Double makespan = visitor.visit( finalConfig.getKeyObjectives().get("makespan") ).doubleValue(); -// final Double cost = visitor.visit( finalConfig.getKeyObjectives().get("totalcost") ).doubleValue(); -// -// System.out.printf( "makespan: %f, cost: %f\n", makespan, cost ); -// // averageOEResults(numOEInvocations, config, of, rng); - } - // System.out.println( mc1.equals(mc2)); - } -} - -// End /////////////////////////////////////////////////////////////// +package uk.ac.york.safire.optimisation.ia; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Random; +import java.util.function.BiPredicate; +import java.util.stream.Collectors; + +import org.apache.commons.math3.stat.StatUtils; +import org.apache.commons.math3.util.Pair; +import org.junit.Test; + +import com.google.common.collect.Lists; +import com.google.common.primitives.Doubles; + +import uk.ac.york.safire.metrics.Configuration; +import uk.ac.york.safire.metrics.ConfigurationType; +import uk.ac.york.safire.metrics.OptimisationResult; +import uk.ac.york.safire.metrics.Utility; +import uk.ac.york.safire.metrics.ValueVisitor; +import uk.ac.york.safire.optimisation.ObjectiveFunction; +import uk.ac.york.safire.optimisation.OptmisationUtility; +import uk.ac.york.safire.optimisation.mitm.atb.ATBSimulatorKafkaProducer.RecipeInfo; +import uk.ac.york.safire.optimisation.mitm.atb.OnaHardwiredConfigurationType; +import uk.ac.york.safire.optimisation.mitm.atb.OnaSingleObjectiveFunction; +import uk.ac.york.safire.optimisation.mitm.atb.UoYEarlyPrototypeDemo; + +/////////////////////////////////// + +public class TestOnaObjectiveFunction { + + @Test + public void testWeightedMultiobjectives() { + final Random rng = new java.util.Random(0xDEADBEEF); + + final int percentageAvailability = 100; + + final int JMAX = 11; + + // final ConfigurationType ct = + // OnaHardwiredConfigurationType.hardwiredConfigurationType(percentageAvailability, + // rng); + final boolean isMultiObjective = false; + final ConfigurationType ct = tinyHardwiredConfigurationType(percentageAvailability, isMultiObjective, rng); + final Configuration config = Utility.randomConfiguration(ct, rng); + + final ObjectiveFunction.LocalObjectiveFunction of = new OnaSingleObjectiveFunction(); + + /////////////////////////// + + final int numOEInvocations = 30; + for (int j = 0; j < JMAX; ++j) { + + OnaSingleObjectiveFunction.W1_$eq(jeep.math.LinearInterpolation.apply(j, 0, JMAX - 1, 0.0, 1.0)); + OnaSingleObjectiveFunction.W2_$eq(1.0 - OnaSingleObjectiveFunction.W1()); + + // jeep.lang.Diag.println( "W1: " + OnaObjectiveFunction.W1() + " " + + // OnaObjectiveFunction.W2() ); + + // final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config,of,rng); + // final Configuration finalConfig = or.getReconfigurations().get(0); + + // ValueVisitor< Number > visitor = new ValueVisitor.NumberVisitor(); + // final double makespan = visitor.visit( + // finalConfig.getKeyObjectives().get("makespan") ).doubleValue(); + // final double cost = visitor.visit( + // finalConfig.getKeyObjectives().get("totalcost") ).doubleValue(); + // final double normalisedMakespan = visitor.visit( + // finalConfig.getKeyObjectives().get("makespan-normalised") ).doubleValue(); + // final double normalisedCost = visitor.visit( + // finalConfig.getKeyObjectives().get("totalcost-normalised") ).doubleValue(); + // + // System.out.printf( "makespan: %f, cost: %f\n", makespan, cost ); + // System.out.printf( "makespan-normalised: %f, cost-normalised: %f\n", + // normalisedMakespan, normalisedCost ); + averageOEResults(numOEInvocations, config, of, rng); + } + } + + /////////////////////////////// + + public static ConfigurationType tinyHardwiredConfigurationType(int percentageAvailability, boolean isMultiobjective, + Random random) { + + final String[] resourceNames = { "Medium 1", "Large 1", "Medium 2", "Large 2", "Medium 3", "Large 3", + "Medium 4", "Large 4" }; + + // Convention: resource names prefixes (up to the first space) denote the same + // resource + // hence they are mutually exclusive: + final BiPredicate<String, String> mutex = (String resource1, String resource2) -> { + final String[] s1 = resource1.split(" "); + final String[] s2 = resource2.split(" "); + return (s1.length == 0 && s2.length == 0) || (s1[0].equals(s2[0])); + }; + + final java.util.function.Function<String[], List<Integer>> resourceIndices = (String[] names) -> { + List<Integer> result = Arrays.asList(names).stream() + .map((String nm) -> Arrays.asList(resourceNames).indexOf(nm)).collect(Collectors.toList()); + if (result.contains(-1)) + jeep.lang.Diag.println(Arrays.toString(names) + " contains bad string:\n" + result); + + return result; + }; + + final Map<Pair<String, String>, Boolean> mutices = new HashMap<>(); + for (String r1 : resourceNames) + for (String r2 : resourceNames) + mutices.put(Pair.create(r1, r2), mutex.test(r1, r2)); + + final Map<String, List<RecipeInfo>> recipeInfo = new HashMap<>(); + + recipeInfo.put("P12", Lists.newArrayList(new RecipeInfo("P12", 1, + // resourceIndices.apply(new String [] { "Large 1", "Large 2", "Large 3", "Large + // 4" } ) + resourceIndices.apply(resourceNames)))); + + recipeInfo.put("P13", Lists.newArrayList(new RecipeInfo("P13", 1, + // resourceIndices.apply(new String [] { "Large 1", "Large 2", "Large 3", "Large + // 4" } ) + resourceIndices.apply(resourceNames)))); + + recipeInfo.put("P14", Lists.newArrayList(new RecipeInfo("P14", 1, + // resourceIndices.apply(new String [] { "Large 1", "Large 2", "Large 3", "Large + // 4" } ) + resourceIndices.apply(resourceNames)))); + + final Map<Pair<String, String>, Double> recipeAndResourceNameToCost = new HashMap<>(); + + recipeAndResourceNameToCost.put(Pair.create("P12", "Large 1"), 2058.4); + recipeAndResourceNameToCost.put(Pair.create("P12", "Large 2"), 2908.8); + recipeAndResourceNameToCost.put(Pair.create("P12", "Large 3"), 1883.1); + recipeAndResourceNameToCost.put(Pair.create("P12", "Large 4"), 1816.1); + + recipeAndResourceNameToCost.put(Pair.create("P13", "Large 1"), 4651.4); + recipeAndResourceNameToCost.put(Pair.create("P13", "Large 2"), 6573.1); + recipeAndResourceNameToCost.put(Pair.create("P13", "Large 3"), 4255.4); + recipeAndResourceNameToCost.put(Pair.create("P13", "Large 4"), 3566.2); + + recipeAndResourceNameToCost.put(Pair.create("P14", "Large 1"), 6201.9); + recipeAndResourceNameToCost.put(Pair.create("P14", "Large 2"), 8764.1); + recipeAndResourceNameToCost.put(Pair.create("P14", "Large 3"), 5673.8); + recipeAndResourceNameToCost.put(Pair.create("P14", "Large 4"), 4754.9); + + recipeAndResourceNameToCost.put(Pair.create("P12", "Medium 1"), 2058.4 / 2.0); + recipeAndResourceNameToCost.put(Pair.create("P12", "Medium 2"), 2908.8 / 2.0); + recipeAndResourceNameToCost.put(Pair.create("P12", "Medium 3"), 1883.1 / 2.0); + recipeAndResourceNameToCost.put(Pair.create("P12", "Medium 4"), 1816.1 / 2.0); + + recipeAndResourceNameToCost.put(Pair.create("P13", "Medium 1"), 4651.4 / 2.0); + recipeAndResourceNameToCost.put(Pair.create("P13", "Medium 2"), 6573.1 / 2.0); + recipeAndResourceNameToCost.put(Pair.create("P13", "Medium 3"), 4255.4 / 2.0); + recipeAndResourceNameToCost.put(Pair.create("P13", "Medium 4"), 3566.2 / 2.0); + + recipeAndResourceNameToCost.put(Pair.create("P14", "Medium 1"), 6201.9 / 2.0); + recipeAndResourceNameToCost.put(Pair.create("P14", "Medium 2"), 8764.1 / 2.0); + recipeAndResourceNameToCost.put(Pair.create("P14", "Medium 3"), 5673.8 / 2.0); + recipeAndResourceNameToCost.put(Pair.create("P14", "Medium 4"), 4754.9 / 2.0); + + /////////////////////////// + + final Map<Pair<String, String>, Integer> recipeAndResourceNameToCuttingTime = new HashMap<>(); + + recipeAndResourceNameToCuttingTime.put(Pair.create("P12", "Large 1"), (int) (60 * 3337.9)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P12", "Large 2"), (int) (60 * 4768.5)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P12", "Large 3"), (int) (60 * 2953.9)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P12", "Large 4"), (int) (60 * 2688.9)); + + recipeAndResourceNameToCuttingTime.put(Pair.create("P13", "Large 1"), (int) (60 * 7542.9)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P13", "Large 2"), (int) (60 * 10775.5)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P13", "Large 3"), (int) (60 * 6675.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P13", "Large 4"), (int) (60 * 5280.0)); + + recipeAndResourceNameToCuttingTime.put(Pair.create("P14", "Large 1"), (int) (60 * 10057.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P14", "Large 2"), (int) (60 * 14367.3)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P14", "Large 3"), (int) (60 * 8900.1)); + recipeAndResourceNameToCuttingTime.put(Pair.create("P14", "Large 4"), (int) (60 * 7040.0)); + + recipeAndResourceNameToCuttingTime.put(Pair.create("P12", "Medium 1"), (int) (60 * 3337.9) * 2); + recipeAndResourceNameToCuttingTime.put(Pair.create("P12", "Medium 2"), (int) (60 * 4768.5) * 2); + recipeAndResourceNameToCuttingTime.put(Pair.create("P12", "Medium 3"), (int) (60 * 2953.9) * 2); + recipeAndResourceNameToCuttingTime.put(Pair.create("P12", "Medium 4"), (int) (60 * 2688.9) * 2); + + recipeAndResourceNameToCuttingTime.put(Pair.create("P13", "Medium 1"), (int) (60 * 7542.9) * 2); + recipeAndResourceNameToCuttingTime.put(Pair.create("P13", "Medium 2"), (int) (60 * 10775.5) * 2); + recipeAndResourceNameToCuttingTime.put(Pair.create("P13", "Medium 3"), (int) (60 * 6675.1) * 2); + recipeAndResourceNameToCuttingTime.put(Pair.create("P13", "Medium 4"), (int) (60 * 5280.0) * 2); + + recipeAndResourceNameToCuttingTime.put(Pair.create("P14", "Medium 1"), (int) (60 * 10057.1) * 2); + recipeAndResourceNameToCuttingTime.put(Pair.create("P14", "Medium 2"), (int) (60 * 14367.3) * 2); + recipeAndResourceNameToCuttingTime.put(Pair.create("P14", "Medium 3"), (int) (60 * 8900.1) * 2); + recipeAndResourceNameToCuttingTime.put(Pair.create("P14", "Medium 4"), (int) (60 * 7040.0) * 2); + + /////////////////////////// + + return OnaHardwiredConfigurationType.makeConfigurationType(recipeInfo, resourceNames, + recipeAndResourceNameToCost, percentageAvailability, recipeAndResourceNameToCuttingTime, mutices, + isMultiobjective, random); + } + + /////////////////////////////// + + private static void averageOEResults(int numInvocations, Configuration config, + ObjectiveFunction.LocalObjectiveFunction of, Random rng) { + + final List<Double> costs = new ArrayList<>(); + final List<Double> makespans = new ArrayList<>(); + + for (int i = 0; i < numInvocations; ++i) { + + final int urgency = 50; + final int iterations = 100; + final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config, of, urgency, iterations, 50, rng, 0); + final Configuration finalConfig = or.getReconfigurations().get(0); + + ValueVisitor<Number> visitor = new ValueVisitor.NumberVisitor(); + final double makespan = visitor.visit(finalConfig.getKeyObjectives().get("makespan")).doubleValue(); + final double cost = visitor.visit(finalConfig.getKeyObjectives().get("totalcost")).doubleValue(); + + costs.add(cost); + makespans.add(makespan); + } + + System.out.printf("W1: %f, W2: %f\n", OnaSingleObjectiveFunction.W1(), OnaSingleObjectiveFunction.W2()); + + { + final Double mean = StatUtils.mean(Doubles.toArray(costs)); + final Double sd = Math.sqrt(StatUtils.populationVariance(Doubles.toArray(costs))); + final Double min = StatUtils.min(Doubles.toArray(costs)); + final Double max = StatUtils.max(Doubles.toArray(costs)); + System.out.printf("cost -- min: %f, max: %f, mean: %f, sd: %f\n", min, max, mean, sd); + } + { + final Double mean = StatUtils.mean(Doubles.toArray(makespans)); + final Double sd = Math.sqrt(StatUtils.populationVariance(Doubles.toArray(makespans))); + final Double min = StatUtils.min(Doubles.toArray(makespans)); + final Double max = StatUtils.max(Doubles.toArray(makespans)); + System.out.printf("makespan -- min: %f, max: %f, mean: %f, sd: %f\n", min, max, mean, sd); + } + } + + /////////////////////////////// + + private static List<Pair<Double, Double>> makespansAndCosts(OptimisationResult or) { + + List<Pair<Double, Double>> result = new ArrayList<>(); + for (Configuration config : or.getReconfigurations()) { + + ValueVisitor<Number> visitor = new ValueVisitor.NumberVisitor(); + final Double makespan = visitor.visit(config.getKeyObjectives().get("makespan")).doubleValue(); + final Double cost = visitor.visit(config.getKeyObjectives().get("totalcost")).doubleValue(); + result.add(Pair.create(makespan, cost)); + } + + return result; + } + + /////////////////////////////// + + @Test + public void test() { + final Random rng = new java.util.Random(0xDEADBEEF); + + final int percentageAvailability = 70; + jeep.lang.Diag.println("percentageAvailability: " + percentageAvailability); + + final boolean isMultiObjective = false; + final ConfigurationType ct = tinyHardwiredConfigurationType(percentageAvailability, isMultiObjective, rng); + final Configuration config = Utility.randomConfiguration(ct, rng); + + OnaSingleObjectiveFunction.parseUnavailability(config); + + final ObjectiveFunction.LocalObjectiveFunction of = new OnaSingleObjectiveFunction(); + final int urgency = 50; + + // final int numOEInvocations = 30; + + List<Pair<Double, Double>> mc1, mc2; + + { + OnaSingleObjectiveFunction.W1_$eq(0.0); + OnaSingleObjectiveFunction.W2_$eq(1.0 - OnaSingleObjectiveFunction.W1()); + + jeep.lang.Diag.println("OF weightings: W1: " + OnaSingleObjectiveFunction.W1() + ", W2: " + + OnaSingleObjectiveFunction.W2()); + + final int iterations = 500; + final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config, of, urgency, iterations, 50, rng, 0); + // final Configuration finalConfig = or.getReconfigurations().get(0); + // jeep.lang.Diag.println( + // ATBSimulatorKafkaProducer.getStatusString(finalConfig) ); + + // System.out.printf( "makespan: %f, cost: %f\n", makespan, cost ); + // averageOEResults(numOEInvocations, config, of, rng); + mc1 = makespansAndCosts(or); + // System.out.println( "makespans and costs: " + mc1.size() ); + System.out.println("makespans and costs: " + mc1); + jeep.lang.Diag.println(OptmisationUtility.keyObjectivesHistogram(or.getReconfigurations())); + } + { + OnaSingleObjectiveFunction.W1_$eq(1.0); + OnaSingleObjectiveFunction.W2_$eq(1.0 - OnaSingleObjectiveFunction.W1()); + jeep.lang.Diag.println("========================================================="); + jeep.lang.Diag.println("OF weightings: W1: " + OnaSingleObjectiveFunction.W1() + ", W2: " + + OnaSingleObjectiveFunction.W2()); + final int iterations = 100; + final OptimisationResult or = UoYEarlyPrototypeDemo.invokeOE(config, of, urgency, iterations, 50, rng, 0); + mc2 = makespansAndCosts(or); + System.out.println("makespans and costs: " + mc2); + + jeep.lang.Diag.println(OptmisationUtility.keyObjectivesHistogram(or.getReconfigurations())); + // System.out.println( "makespans and costs: " + makespansAndCosts(or) ); + + // final Configuration finalConfig = or.getReconfigurations().get(0); + // // jeep.lang.Diag.println( + // ATBSimulatorKafkaProducer.getStatusString(finalConfig) ); + // + // ValueVisitor< Number > visitor = new ValueVisitor.NumberVisitor(); + // final Double makespan = visitor.visit( + // finalConfig.getKeyObjectives().get("makespan") ).doubleValue(); + // final Double cost = visitor.visit( + // finalConfig.getKeyObjectives().get("totalcost") ).doubleValue(); + // + // System.out.printf( "makespan: %f, cost: %f\n", makespan, cost ); + // // averageOEResults(numOEInvocations, config, of, rng); + } + // System.out.println( mc1.equals(mc2)); + } +} + +// End /////////////////////////////////////////////////////////////// diff --git a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/CompareOptimisationEngines.java b/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/CompareOptimisationEngines.java deleted file mode 100644 index 9eb0d4803b91b6b6dd93e5122aa323a8c52e6456..0000000000000000000000000000000000000000 --- a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/CompareOptimisationEngines.java +++ /dev/null @@ -1,64 +0,0 @@ -package uk.ac.york.safire.optimisation.maxplusplant; - -import java.util.List; -import java.util.Random; - -import com.google.common.collect.ImmutableList; -import com.google.common.collect.Multiset; - -import uk.ac.york.safire.metrics.*; -import uk.ac.york.safire.optimisation.*; - -/////////////////////////////////// - -public class CompareOptimisationEngines { - - public static void main(String [] args) { - - final int populationSize = 10; - Random rng = new Random(0xDEADBEEF); - - final double urgency = 0.9; - final double quality = 0.1; - // final int scaleFactor = 10; - - final int minEvaluations = 100; - final int maxEvaluations = 100; - - /////////////////////////// - - final MockObjectiveFunction objectiveFunction = MockObjectiveFunction.largerPlant(); // rng ); - final ConfigurationType configurationType = objectiveFunction.configurationType(); - - List< OptimisationEngine > optimisationEngines = ImmutableList.of( - new RandomSearchLocalOptimisationEngine(objectiveFunction, minEvaluations, maxEvaluations, rng), - JMetalLocalOptimisationEngine.nsga3(minEvaluations, maxEvaluations, objectiveFunction, rng) -// , JMetalLocalOptimisationEngine.soga(minEvaluations, maxEvaluations, objectiveFunction, rng) -// , new ExhaustiveSearchLocalOptimisationEngine(objectiveFunction,rng) - ); - - long [] seeds = new long [optimisationEngines.size()]; - for( int i=0; i<seeds.length; ++i ) - seeds[i] = rng.nextLong(); - - /////////////////////////// - - for( int i=0; i<seeds.length; ++i ) { - final OptimisationEngine oe = optimisationEngines.get(i); - System.out.println( "applying Optmisation Engine: " + oe ); - -// final List< Configuration > population = HttpRemoteOptimisationEngineClient.run( -// populationSize, urgency, quality, oe, configurationType, new Random(seeds[i]) ); - final List< Configuration > population = OEClientCommon.applyOptimisationEngine( - populationSize, urgency, quality, - objectiveFunction, configurationType, oe, rng)._1.getReconfigurations(); - - - // jeep.lang.Diag.println( "controlledMetrics histogram: " + OptmisationUtility.multisetCardinalities( OptmisationUtility.controlledMetricsHistogram(population) ) ); - // jeep.lang.Diag.println( "keyObjectives histogram: " + OptmisationUtility.multisetCardinalities( OptmisationUtility.keyObjectivesHistogram(population) ) ); - jeep.lang.Diag.println( "fitness histogram: " + objectiveFunction.soFitnessHistogram(population) ); - } - } -} - -// End /////////////////////////////////////////////////////////////// diff --git a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/GECCOGranularityExperimentsMain.java b/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/GECCOGranularityExperimentsMain.java deleted file mode 100644 index 4253b8ce200f9231031f4f6de6da5030d27165fc..0000000000000000000000000000000000000000 --- a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/GECCOGranularityExperimentsMain.java +++ /dev/null @@ -1,277 +0,0 @@ -package uk.ac.york.safire.optimisation.maxplusplant; - -import java.util.ArrayList; -import java.util.Collections; -import java.util.List; -import java.util.Random; -import java.util.function.Predicate; -import java.util.function.ToDoubleFunction; - -import com.google.common.collect.ImmutableList; - -import akka.stream.javadsl.Partition; -import scala.Tuple2; -import uk.ac.york.safire.metrics.*; -import uk.ac.york.safire.optimisation.*; - -/////////////////////////////////// - -public final class GECCOGranularityExperimentsMain { - - private static final double energyCostWeighting = 1.0; - private static final double makespanCostWeighting = 1.0; - private static final double computeTimeCostWeighting = 1.0; - - private static final int numPartitions = 10; - - /////////////////////////// - - private static final int numBenchmarks = 30; - - private static final double urgency = 0.5; - private static final double quality = 0.5; - - static final int maxStages = 100; - // ^ maximum number of times the OE can be applied to a partition - - static final int maxUnimprovingStages = 20; - - /////////////////////////////// - - private static List< scala.Tuple2< Integer,List<Configuration > >> - partition(List<Configuration> population, int numPartitions) { - final List< List< Configuration > > partitions = - com.google.common.collect.Lists.partition(population, population.size() / numPartitions); - // Copying is necessary, since com.google.common.collect.Lists.partition - // returns an immutable list... - List< scala.Tuple2< Integer,List<Configuration > > > result = new ArrayList<>(); - // result.addAll(partitions); - for( int i=0; i<partitions.size(); ++i ) - result.add( scala.Tuple2.apply(i, partitions.get(i)) ); - - return result; - } - - /////////////////////////////// - - private static boolean allStopped(boolean [] stopConditions) { - for( boolean b: stopConditions ) - if( !b ) - return false; - return true; - } - - public static StoppingConditionResult - runUntilStoppingCondition(MockObjectiveFunction objectiveFunction, - List< Configuration > population, - int numGAGenerations, - Predicate< StoppingConditionFeatures > stoppingCondition, - int numPartitions, long seed) { - - final int minEvaluations = numGAGenerations * population.size(); - final int maxEvaluations = minEvaluations; - - final Random rng = new Random(seed); - // JMetal single-objective GA: -// final OptimisationEngine oe = JMetalLocalOptimisationEngine.soga( -// minEvaluations, maxEvaluations, objectiveFunction, rng); - final OptimisationEngine oe = JMetalLocalOptimisationEngine.nsga3( - minEvaluations, maxEvaluations, objectiveFunction, rng); - - /////////////////////////// - - final List< scala.Tuple2< Integer, List< Configuration > > > partitions = partition(population, numPartitions); - - final boolean [] shouldStopProcessingPartition = new boolean [numPartitions]; - - final List< List< HistoryInfo > > partitionHistory = new ArrayList<>(); - for( int i=0; i<partitions.size(); ++i ) - partitionHistory.add( new ArrayList<>() ); - - while( !allStopped(shouldStopProcessingPartition) ) { - - // for( int i=0; i<partitions.size(); ++i ) { - // for( scala.Tuple2< Integer, List< Configuration > > partitionAndIndex: partitions ) - partitions.parallelStream().forEach( partitionAndIndex -> { - - final int i = partitionAndIndex._1(); - final List< Configuration > partition = partitionAndIndex._2(); - - if( !shouldStopProcessingPartition[ i ] ) { - - final long oeStartTime = System.currentTimeMillis(); - final OptimisationResult result = oe.optimise(new OptimisationArguments( partition, urgency, quality ) ); - final long oeEndTime = System.currentTimeMillis(); - final long oeElapsed = oeEndTime - oeStartTime; - - partitions.set( i, scala.Tuple2.apply(i, result.getReconfigurations() ) ); - - // final Stats relativeErrorStats = objectiveFunction.relativeErrorStats( result.getReconfigurations() ); - final Stats flatCostStats = objectiveFunction.soFitnessStats( result.getReconfigurations() ); - - double min = flatCostStats.min(); - // FIXME: sort this out - if( !partitionHistory.get(i).isEmpty() ) - min = Math.min( min, StoppingConditionFeatures.calcLowestConfigurationCost( partitionHistory.get(i) ) ); -// for(int j=0; j<partitionHistory.get(i).size(); ++j ) { -// final double previousMin = partitionHistory.get(i).get(j).min(); -//// if( min > previousMin ) { -//// System.out.println( "WARNING: partition " + i + " is nonmonotonic: " + min + " versus " + partitionHistory.get(i) ); -//// } -// min = previousMin; -// } - - final HistoryInfo info = HistoryInfo.apply(flatCostStats.withMin(min), oeElapsed ); - partitionHistory.get(i).add( info ); - final StoppingConditionFeatures features = StoppingConditionFeatures.apply( partitionHistory.get(i) ); - shouldStopProcessingPartition[i] = stoppingCondition.test( features ); - } - } ); - } - - // final double lowestFlatCost = HistoryInfo.lowestConfigurationCost( history ); - return new StoppingConditionResult( partitionHistory ); // lowestFlatCost, totalElapsed, numIterations ); - } - - /////////////////////////////// - - private static boolean defaultStoppingCondition(StoppingConditionFeatures features) { - return features.sd() <= 1.e-3 || features.numStages() > maxStages || features.numUnimprovingStages() >= maxUnimprovingStages; - } - - /////////////////////////////// - - static List<StoppingConditionResult> - run(List< MockObjectiveFunction > benchmarks, - int populationSize, int numGAGenerations, - Predicate< StoppingConditionFeatures > stoppingCondition, long seed) { - - final Random masterRng = new Random(seed); - - /////////////////////////// - - final long [] seeds = masterRng.longs(benchmarks.size()).toArray(); - - // final jeep.util.ProgressDisplay progress = new jeep.util.ProgressDisplay(benchmarks.size()); - List< StoppingConditionResult > result = new ArrayList<>(); - for(int i=0; i<benchmarks.size(); ++i) { - final Random rng = new Random(seeds[i]); - final MockObjectiveFunction objectiveFunction = benchmarks.get(i); - - final Configuration parentConfig = Utility.randomConfiguration(objectiveFunction.configurationType(), rng); - - final List< Configuration > population = - OptmisationUtility.simplePlantMkPopulation(parentConfig, objectiveFunction, populationSize, objectiveFunction.configurationType(), rng); - - // System.out.println( "Running JMetal SOGA on instance " + (i+1) + " of " + benchmarks.size() ); - final StoppingConditionResult scr = runUntilStoppingCondition( - benchmarks.get(i), population, numGAGenerations, stoppingCondition, numPartitions, seeds[i] ); - result.add( scr ); - - // progress.increment(); - } - return result; - } - - /////////////////////////////// - - public static void main( String [] args ) { - - final long seed = 0xDEADBEEF; - // final long seed = 0xBABEDEAF; - - System.out.println( "Parameters -- " + - "numBenchmarks: " + numBenchmarks + -// ", populationSize: " + populationSize + -// ", minEvaluations: " + minEvaluations + -// ", maxEvaluations: " + maxEvaluations + ",\n" + -// "urgency: " + urgency + -// ", quality: " + quality + - ", maxStages: " + maxStages + - ", maxUnimprovingStages: " + maxUnimprovingStages + - ", energyCostWeighting: " + energyCostWeighting + - ", makespanCostWeighting: " + makespanCostWeighting + - ", computeTimeCostWeighting: " + computeTimeCostWeighting + - ", seed: " + seed - ); - - System.out.println(); - - final int benchmarkIndex = 29; - // final int benchmarkIndex = 29; - - System.out.println( "benchmarkIndex: " + benchmarkIndex ); - - final List< MockObjectiveFunction > benchmarks = - java.util.Collections.singletonList( - ScaledPlantGenerator.generateBenchmarkInstances(energyCostWeighting,makespanCostWeighting, numBenchmarks, seed ).get(benchmarkIndex)); - jeep.lang.Diag.println( "Vertices: " + benchmarks.get(0).plant().getGraph().getNoOfVertices() ); - jeep.lang.Diag.println( "Edges: " + benchmarks.get(0).plant().getGraph().getNoOfEdges() ); - jeep.lang.Diag.println( "Levels: " + benchmarks.get(0).plant().getGraph().getMaxLevel() ); - -// final List< MockObjectiveFunction > benchmarks = java.util.Collections.singletonList( -// MockObjectiveFunction.largerPlant( energyCostWeighting, makespanCostWeighting ) ); -// final List< MockObjectiveFunction > benchmarks = java.util.Collections.singletonList( -// MockObjectiveFunction.smallPlant( energyCostWeighting, makespanCostWeighting, new java.util.Random(seed ) ) ); - - final long startTime = System.currentTimeMillis(); - - System.out.println( "Running granularity experiments..." ); - - final List< Integer > genValues = ImmutableList.of( 100, 200, 500 ); - final List< Integer > popValues = ImmutableList.of( 100, 200, 500 ); -// final List< Integer > popValues = ImmutableList.of( // 100, 200, -// 500, -// // 700, -// 1000 ); - // final List< Integer > genValues = ImmutableList.of( 10, 20, 30, 40, 50, 60, 70, 80, 90, 100 ); -// final List< Integer > genValues = ImmutableList.of( // 100, 200, -// 500, 1000 ); - - for( int pop=0; pop<popValues.size(); ++pop ) { - for( int gen=0; gen<genValues.size(); ++gen ) { - - final int population = popValues.get(pop); - final int generations = genValues.get(gen); - - System.out.println( "populationSize: " + population + ", generations: " + generations ); - - final long runStartTime = System.currentTimeMillis(); - final List< StoppingConditionResult > results = run(benchmarks, population, generations, - features -> defaultStoppingCondition(features), seed); - final long runEndTime = System.currentTimeMillis(); - - final StoppingConditionResult result0 = results.get(0); - - assert( results.size() == 1 ); - - System.out.println( "S.D. per-stage: " + result0.sdByStage().mkString("[", ",", "]") ); - - // (a) final value returned by GA after each stage (! - needed for VC creation) together with the value predictions - System.out.println( "Min values per-stage: " + result0.minValuesByStage().mkString("[", ",", "]") ); - - System.out.println( "Predicted min values per-stage: " + result0.predictedMinValuesByStage().mkString("[", ",", "]") ); - - // (b) an average execution time of a single stage with regard to both the controlled variables - System.out.println( "Average execution time per-stage:" + result0.averageProcessingTimeMillisByStage().mkString("[", ",", "]") ); - // (c) an average no. of stages with regard to both the controlled variables - System.out.println( "Average number of stages: " + result0.averageNumStages() + " +/- " + result0.sdNumStages() ); - - // jeep.lang.Diag.println( result0 ); - - System.out.println( "% min value prediction error by stage: " + - result0.minValuePercentErrorByStage().mkString("[", ",", "]") ); - - System.out.println( "elapsed (populationSize: " + population + ", generations: " + generations + "): " + ( runEndTime - runStartTime ) / 1000.0 ); - System.out.println( "========================================================" ); - System.out.println(); - } - } - - final long endTime = System.currentTimeMillis(); - System.out.println( "total elapsed: " + ( endTime - startTime ) / 1000.0 ); - System.out.println( "All done." ); - } -} - -// End /////////////////////////////////////////////////////////////// diff --git a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/StoppingConditionExperimentsMain.java b/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/StoppingConditionExperimentsMain.java deleted file mode 100644 index 9028a8dc0c6e52129164544a3f20167cae1bd33a..0000000000000000000000000000000000000000 --- a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/StoppingConditionExperimentsMain.java +++ /dev/null @@ -1,201 +0,0 @@ -package uk.ac.york.safire.optimisation.maxplusplant; - -import java.util.ArrayList; -import java.util.List; -import java.util.Random; -import java.util.function.Predicate; -import java.util.function.ToDoubleFunction; - -import uk.ac.york.safire.metrics.*; -import uk.ac.york.safire.optimisation.*; - -/////////////////////////////////// - -public final class StoppingConditionExperimentsMain { - - private static final double energyCostWeighting = 1.0; - private static final double makespanCostWeighting = 1.0; - private static final double computeTimeCostWeighting = 1.0; - - private static final int numPartitions = 10; - - /////////////////////////// - - private static final int numBenchmarks = 10; - - private static final double urgency = 0.5; - private static final double quality = 0.5; - - private static final int numGenerations = 100; - private static final int populationSize = 1000; // size of unpartitioned population - - private static final int minEvaluations = ( populationSize / numPartitions ) * numGenerations; // populationSize * numGenerations; - private static final int maxEvaluations = minEvaluations; - - static final int maxStages = 10; - // ^ maximum number of times the OE can be applied to a partition - - /////////////////////////////// - - private static List<List<Configuration>> - partition(List<Configuration> population, int numPartitions) { - final List< List< Configuration > > partitions = - com.google.common.collect.Lists.partition(population, population.size() / numPartitions); - // Copying is necessary, since com.google.common.collect.Lists.partition - // returns an immutable list... - List< List< Configuration > > result = new ArrayList<>(); - result.addAll(partitions); - return result; - } - - /////////////////////////////// - - private static boolean allStopped(boolean [] stopConditions) { - for( boolean b: stopConditions ) - if( !b ) - return false; - return true; - } - - public static StoppingConditionResult - runUntilStoppingCondition(MockObjectiveFunction objectiveFunction, - List< Configuration > population, - Predicate< StoppingConditionFeatures > stoppingCondition, - ToDoubleFunction< Long > valueCurve, - int numPartitions, long seed) { - - final Random rng = new Random(seed); - // JMetal single-objective GA: -// final OptimisationEngine oe = JMetalLocalOptimisationEngine.soga( -// minEvaluations, maxEvaluations, objectiveFunction, rng); - final OptimisationEngine oe = JMetalLocalOptimisationEngine.nsga3( - minEvaluations, maxEvaluations, objectiveFunction, rng); - - /////////////////////////// - - final List< List< Configuration > > partitions = partition(population, numPartitions); - - final boolean [] shouldStopProcessingPartition = new boolean [numPartitions]; - - long totalElapsed = 0; - - int numIterations = 0; - - List< List< HistoryInfo > > history = new ArrayList<>(); - for( int i=0; i<partitions.size(); ++i ) - history.add( new ArrayList<>() ); - - while( !allStopped(shouldStopProcessingPartition) ) { - - for( int i=0; i<partitions.size(); ++i ) { - if( shouldStopProcessingPartition[ i ] ) - continue; - - final long oeStartTime = System.currentTimeMillis(); - final OptimisationResult result = oe.optimise(new OptimisationArguments( partitions.get(i), urgency, quality ) ); - final long oeEndTime = System.currentTimeMillis(); - final long oeElapsed = oeEndTime - oeStartTime; - - totalElapsed += oeElapsed; - partitions.set( i, result.getReconfigurations() ); - - // final Stats relativeErrorStats = objectiveFunction.relativeErrorStats( result.getReconfigurations() ); - // final HistoryInfo info = HistoryInfo.apply(relativeErrorStats, oeElapsed ); - final Stats flatCostStats = objectiveFunction.soFitnessStats( result.getReconfigurations() ); - final HistoryInfo info = HistoryInfo.apply(flatCostStats, oeElapsed ); - history.get(i).add( info ); - final StoppingConditionFeatures features = StoppingConditionFeatures.apply(valueCurve, history.get(i) ); - shouldStopProcessingPartition[i] = stoppingCondition.test( features ); - } - numIterations += 1; - } - - // final double lowestFlatCost = HistoryInfo.lowestConfigurationCost( history ); - return new StoppingConditionResult( history ); // lowestFlatCost, totalElapsed, numIterations ); - } - - /////////////////////////////// - - private static boolean defaultStoppingCondition(StoppingConditionFeatures features) { - return features.sd() <= 1.e-6 || features.mean() <= 1.e-2 || - features.income() >= features.predictedIncome() || - features.numStages() > maxStages; - } - - private static double defaultValueCurve(long timeInMilliseconds) { - // FIXME - return timeInMilliseconds; - } - - /////////////////////////////// - - static List<StoppingConditionResult> - run(List< MockObjectiveFunction > benchmarks, - Predicate< StoppingConditionFeatures > stoppingCondition, - ToDoubleFunction< Long > valueCurve, long seed) { - - final Random masterRng = new Random(seed); - - /////////////////////////// - - final long [] seeds = masterRng.longs(benchmarks.size()).toArray(); - - final jeep.util.ProgressDisplay progress = new jeep.util.ProgressDisplay(benchmarks.size()); - List< StoppingConditionResult > result = new ArrayList<>(); - for(int i=0; i<benchmarks.size(); ++i) { - final Random rng = new Random(seeds[i]); - final MockObjectiveFunction objectiveFunction = benchmarks.get(i); - - final Configuration parentConfig = Utility.randomConfiguration(objectiveFunction.configurationType(), rng); - - final List< Configuration > population = - OptmisationUtility.simplePlantMkPopulation(parentConfig, objectiveFunction, populationSize, objectiveFunction.configurationType(), rng); - - // System.out.println( "Running JMetal SOGA on instance " + (i+1) + " of " + benchmarks.size() ); - final StoppingConditionResult scr = runUntilStoppingCondition( - benchmarks.get(i), population, stoppingCondition, valueCurve, numPartitions, seeds[i] ); - result.add( scr ); - - progress.increment(); - } - return result; - } - - /////////////////////////////// - - public static void main( String [] args ) { - - final long seed = 0xDEADBEEF; - - System.out.println( "Parameters -- " + - "numBenchmarks: " + numBenchmarks + - ", populationSize: " + populationSize + - ", minEvaluations: " + minEvaluations + - ", maxEvaluations: " + maxEvaluations + ",\n" + - "urgency: " + urgency + - ", quality: " + quality + - ", maxStages: " + maxStages + - ", energyCostWeighting: " + energyCostWeighting + - ", makespanCostWeighting: " + makespanCostWeighting + - ", computeTimeCostWeighting: " + computeTimeCostWeighting + - ", seed: " + seed - ); - - System.out.println(); - - final List< MockObjectiveFunction > benchmarks = - ScaledPlantGenerator.generateBenchmarkInstances(energyCostWeighting,makespanCostWeighting, numBenchmarks,seed); - - System.out.println( "Running stopping condition experiments..." ); - - final List < StoppingConditionResult > result = run(benchmarks, - features -> defaultStoppingCondition(features), - timeInMillis -> defaultValueCurve(timeInMillis), - seed); - - jeep.lang.Diag.println( result ); - System.out.println( "All done." ); - } -} - -// End /////////////////////////////////////////////////////////////// diff --git a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/StoppingConditionFeatures.scala b/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/StoppingConditionFeatures.scala deleted file mode 100644 index 8b3fed9228383968be79a12853ad9aed217b44a7..0000000000000000000000000000000000000000 --- a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/StoppingConditionFeatures.scala +++ /dev/null @@ -1,169 +0,0 @@ -package uk.ac.york.safire.optimisation.maxplusplant - -import uk.ac.york.safire.optimisation._ -import java.util.function._ -import scala.collection.JavaConversions._ - -/////////////////////////////////// - -case class HistoryInfo(mean: Double, sd: Double, min: Double, processingTimeMillis: Long) { - - override def toString(): String = - org.apache.commons.lang3.builder.ToStringBuilder.reflectionToString( - this, - org.apache.commons.lang3.builder.ToStringStyle.SHORT_PREFIX_STYLE - ) -} - -object HistoryInfo { - - def apply(stats: Stats, processingTimeMillis: Long): HistoryInfo = - HistoryInfo(stats.mean, stats.sd, stats.min, processingTimeMillis) - - def lowestConfigurationCost(infos: java.util.List[java.util.List[HistoryInfo]]): java.lang.Double = - infos.map { info => info.map { x => x.min }.min }.min -} - -/////////////////////////////////// - -case class StoppingConditionFeatures(mean: Double, sd: Double, - lowestConfigurationCost: Double, numStages: Int, - numUnimprovingStages: Int, - income: Double, predictedIncome: Double) { - - override def toString(): String = - org.apache.commons.lang3.builder.ToStringBuilder.reflectionToString( - this, - org.apache.commons.lang3.builder.ToStringStyle.SHORT_PREFIX_STYLE - ) -} - -object StoppingConditionFeatures { - - def minMonotoneImproving(history: java.util.List[HistoryInfo]): Boolean = - if (history.length <= 1) - true - else - history.zip(history.tail).forall { case (a, b) => a.min >= b.min } - - def numUnimprovingStages(history: java.util.List[HistoryInfo]): Int = { - require(minMonotoneImproving(history)) - - import scala.collection.JavaConversions._ - import scala.collection.JavaConverters._ - - if (history.length <= 1) - 0 - else { - - val reversed = history.asScala.reverse.map { _.min }.toList - val equal = reversed.zip(reversed.tail).takeWhile { - case (min1, min2) => min1 == min2 - } - equal.length - } - } - - // FIXME: remove this - def apply(history: java.util.List[HistoryInfo]): StoppingConditionFeatures = { - require(minMonotoneImproving(history)) - - StoppingConditionFeatures( - history.last.mean, - history.last.sd, - calcLowestConfigurationCost(history.toList), - history.length, - numUnimprovingStages(history), - Double.NaN, - Double.NaN - ) - } - - def apply(valueCurve: ToDoubleFunction[java.lang.Long], history: java.util.List[HistoryInfo]): StoppingConditionFeatures = { - require(minMonotoneImproving(history)) - - StoppingConditionFeatures( - history.last.mean, - history.last.sd, - calcLowestConfigurationCost(history.toList), - history.length, - numUnimprovingStages(history), - income(valueCurve, history.toList), - predictedIncome(valueCurve, history.toList) - ) - } - - ///////////////////////////////// - - private def extrapolate(history: List[Double]): Option[Double] = { - // val interp = new com.nr.interp.Poly_interp((0 until history.length).toArray.map { _.toDouble}, - // history.toArray, history.length) - val interp = new com.nr.interp.Rational_interp( - (0 until history.length).toArray.map { _.toDouble }, - history.toArray, history.length - ) - - try { - Some(interp.interp(history.length)) - } catch { - case t: IllegalArgumentException => None - } - } - - ///////////////////////////////// - - val PredictionMinHistoryLength = 3 - - def predictedLowestConfigurationCost(history: List[HistoryInfo]): Double = { - if (history.length < PredictionMinHistoryLength) { - calcLowestConfigurationCost(history) - } else { - var result = extrapolate(history.map { _.min }).getOrElse(calcLowestConfigurationCost(history)) - if (result < 0) - result = calcLowestConfigurationCost(history) - result - } - } - - def predictedProcesingTime(history: List[HistoryInfo]): Long = { - if (history.length < PredictionMinHistoryLength) { - history.last.processingTimeMillis - } else { - var result = extrapolate(history.map { _.processingTimeMillis.toDouble }).getOrElse(history.last.processingTimeMillis.toDouble).toLong - if (result < 0) - result = history.last.processingTimeMillis.toDouble.toLong - result - } - } - - private def predictedIncome(valueCurve: ToDoubleFunction[java.lang.Long], history: List[HistoryInfo]): Double = { - valueCurve.applyAsDouble(processingTime(history) + predictedProcesingTime(history)) - +predictedLowestConfigurationCost(history) - } - - def calcLowestConfigurationCost(history: java.util.List[HistoryInfo]): Double = - history.map { _.min }.min - - private def processingTime(history: List[HistoryInfo]): Long = - history.map { _.processingTimeMillis }.sum - - private def income(valueCurve: ToDoubleFunction[java.lang.Long], history: List[HistoryInfo]): Double = - valueCurve.applyAsDouble(processingTime(history)) + calcLowestConfigurationCost(history) - - ///////////////////////////////// - - def main(args: Array[String]): Unit = { - - def mkHistory(minValues: List[Double]): List[HistoryInfo] = - minValues.map { min => HistoryInfo(mean = Double.NaN, sd = Double.NaN, min = min, processingTimeMillis = 0L) } - - assert(numUnimprovingStages(mkHistory(List())) == 0) - assert(numUnimprovingStages(mkHistory(List(1.0))) == 0) - assert(minMonotoneImproving(mkHistory(List(2.0, 1.0)))) - assert(numUnimprovingStages(mkHistory(List(2.0, 1.0))) == 0) - assert(numUnimprovingStages(mkHistory(List(1.0, 1.0))) == 1) - assert(numUnimprovingStages(mkHistory(List(2.0, 1.0, 1.0))) == 1) - } -} - -// End /////////////////////////////////////////////////////////////// diff --git a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/StoppingConditionResult.scala b/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/StoppingConditionResult.scala deleted file mode 100644 index 4afb711030fbdbacec50ad38153225a21f82eeb7..0000000000000000000000000000000000000000 --- a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/StoppingConditionResult.scala +++ /dev/null @@ -1,54 +0,0 @@ -package uk.ac.york.safire.optimisation.maxplusplant - -import scala.collection.JavaConversions._ - -case class StoppingConditionResult(partitionHistories: java.util.List[java.util.List[HistoryInfo]]) { - - val maxHistoryLength = partitionHistories.map { _.length }.max - - def indexByStage: Map[Int, List[HistoryInfo]] = Map() ++ { - for (len <- 0 until maxHistoryLength) yield { - val longEnough = partitionHistories.filter { _.length > len } - len -> longEnough.map { _.apply(len) }.toList - } - } - - private def percentError(expected: Double, actual: Double): Double = - 100 * math.abs(expected - actual) / expected - - def minValuePercentErrorByStage: List[List[Double]] = - for (i <- (0 until minValuesByStage.length).toList) yield for (j <- (0 until minValuesByStage(i).length).toList) yield percentError(minValuesByStage(i)(j), predictedMinValuesByStage(i)(j)) - - def minValuesByStage: List[List[Double]] = - (0 until maxHistoryLength).toList.map { stage => indexByStage(stage).map { x => x.min } } - - def sdByStage: List[List[Double]] = - (0 until maxHistoryLength).toList.map { stage => indexByStage(stage).map { x => x.sd } } - - def averageProcessingTimeMillisByStage: List[Double] = - (0 until maxHistoryLength).toList.map { stage => - indexByStage(stage).map { x => x.processingTimeMillis }.sum / indexByStage(stage).length.toDouble - } - - def predictedMinValuesByStage: List[List[Double]] = - for (len <- (0 until maxHistoryLength).toList) yield { - val longEnough = partitionHistories.filter { _.length > len } - longEnough.toList.map { l => - StoppingConditionFeatures.predictedLowestConfigurationCost(l.toList.take(len + 1)) - } - } - - def averageNumStages: Double = - partitionHistories.map { _.length }.sum / partitionHistories.length.toDouble - - def sdNumStages: Double = - math.sqrt(org.apache.commons.math3.stat.StatUtils.variance(partitionHistories.map { h => h.length.toDouble }.toArray)) - - override def toString(): String = - org.apache.commons.lang3.builder.ToStringBuilder.reflectionToString( - this, - org.apache.commons.lang3.builder.ToStringStyle.MULTI_LINE_STYLE - ) -} - -// End /////////////////////////////////////////////////////////////// diff --git a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestCompareOptimisationEngines.java b/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestCompareOptimisationEngines.java deleted file mode 100644 index 44ba55a74ec1d3a8e75ea5fb9123872e73c07cfe..0000000000000000000000000000000000000000 --- a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestCompareOptimisationEngines.java +++ /dev/null @@ -1,80 +0,0 @@ -package uk.ac.york.safire.optimisation.maxplusplant; - -import static org.junit.Assert.assertEquals; -import org.junit.Test; - -import java.util.List; -import java.util.Random; -import java.util.Set; -import java.util.stream.Collectors; - -import uk.ac.york.safire.metrics.Configuration; -import uk.ac.york.safire.metrics.OptimisationArguments; -import uk.ac.york.safire.metrics.OptimisationResult; -import uk.ac.york.safire.optimisation.*; - -/////////////////////////////////// - -public class TestCompareOptimisationEngines { - - @Test - public void testJMetalIsOptimalOnMockObjective() { - - final Random rng = new Random(0xDEADBEEF); - - final MockObjectiveFunction objectiveFunction = MockObjectiveFunction.largerPlant(); // MockObjectiveFunction$.MODULE$.apply(rng); - - final double urgency = 0.5; - final double quality = 0.5; - final int populationSize = 10; - - final Configuration config = uk.ac.york.safire.metrics.Utility.randomConfiguration(objectiveFunction.configurationType(), rng); - - final List< Configuration > population = uk.ac.york.safire.optimisation.OptmisationUtility.simplePlantMkPopulation( - config, objectiveFunction, populationSize, objectiveFunction.configurationType(), rng); - - final OptimisationArguments args = new OptimisationArguments(population, urgency, quality); - - /////////////////////////// - - - OptimisationEngine exhaustiveOE = - new ExhaustiveSearchLocalOptimisationEngine(objectiveFunction,rng); - - final int MinEvaluations = 1000; - final int MaxEvaluations = 1000; - final Random solutionRNG = new Random(0xDEADBEEF); - - OptimisationEngine randomOE = - new RandomSearchLocalOptimisationEngine(objectiveFunction,MinEvaluations, MaxEvaluations, rng); - -// OptimisationEngine jMetalDefaultOE = JMetalLocalOptimisationEngine.soga( -// MinEvaluations, MaxEvaluations, objectiveFunction, solutionRNG); - OptimisationEngine jMetalDefaultOE = JMetalLocalOptimisationEngine.nsga3( - MinEvaluations, MaxEvaluations, objectiveFunction, solutionRNG); - - OptimisationResult randomResult = randomOE.optimise(args); - OptimisationResult exhaustiveResult = exhaustiveOE.optimise(args); - OptimisationResult jMetalDefaultResult = jMetalDefaultOE.optimise(args); - - final Set< Double > random = randomResult.getReconfigurations().stream().map( - (Configuration c) -> objectiveFunction.singleObjectiveFitness(c.getKeyObjectives()) - ).collect(Collectors.toSet()); - final Set< Double > exhaustive = exhaustiveResult.getReconfigurations().stream().map( - (Configuration c) -> objectiveFunction.singleObjectiveFitness(c.getKeyObjectives()) - ).collect(Collectors.toSet()); - final Set< Double > jMetal = jMetalDefaultResult.getReconfigurations().stream().map( - (Configuration c) -> objectiveFunction.singleObjectiveFitness(c.getKeyObjectives()) - ).collect(Collectors.toSet()); - - // jeep.lang.Diag.println( random ); - // jeep.lang.Diag.println( exhaustive ); - // jeep.lang.Diag.println( jMetal ); - final double bestExhaustiveFitness = exhaustive.stream().mapToDouble( x -> x ).min().getAsDouble(); - final double bestJMetalFitness = jMetal.stream().mapToDouble( x -> x ).min().getAsDouble(); - - assertEquals( bestExhaustiveFitness, bestJMetalFitness, 0.001 ); - } -} - -// End /////////////////////////////////////////////////////////////// diff --git a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestConfigurationUpdate.java b/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestConfigurationUpdate.java deleted file mode 100644 index 5747b713656568976257d1b45cec2adf5c571758..0000000000000000000000000000000000000000 --- a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestConfigurationUpdate.java +++ /dev/null @@ -1,46 +0,0 @@ -package uk.ac.york.safire.optimisation.maxplusplant; - -import static org.junit.Assert.assertEquals; - -import java.util.Arrays; -import java.util.List; -import java.util.Map; -import java.util.Random; - -import org.junit.Test; - -import uk.ac.york.safire.metrics.Configuration; -import uk.ac.york.safire.metrics.ConfigurationType; -import uk.ac.york.safire.metrics.Value; -import uk.ac.york.safire.optimisation.MockObjectiveFunction; -import uk.ac.york.safire.optimisation.ObjectiveFunction; -import uk.ac.york.safire.optimisation.OptmisationUtility; - -public class TestConfigurationUpdate { - - @Test - public void test() { - final Random rng = new Random(0xDEADBEEF); - - final MockObjectiveFunction objectiveFunction = MockObjectiveFunction.largerPlant(); - - final ConfigurationType ct = objectiveFunction.configurationType(); - final Configuration parentConfig = uk.ac.york.safire.metrics.Utility.randomConfiguration(ct, rng); - final ObjectiveFunction.Result resultOriginal = objectiveFunction.predictKeyObjectives(parentConfig, parentConfig.getControlledMetrics() ); - final Map< String, Value > randomControlledMetrics = OptmisationUtility.randomControlledMetrics(ct, rng); - final ObjectiveFunction.Result resultRandomControlledMetrics = objectiveFunction.predictKeyObjectives(parentConfig, randomControlledMetrics ); - - final List<Double> fitnessOriginal = objectiveFunction.objectiveValues(resultOriginal); - jeep.lang.Diag.println( fitnessOriginal ); - - final List<Double> fitnessRandomControlledMetrics = objectiveFunction.objectiveValues(resultRandomControlledMetrics); - jeep.lang.Diag.println( fitnessRandomControlledMetrics ); - - final Configuration childConfig = Configuration.update( parentConfig, randomControlledMetrics, resultRandomControlledMetrics.keyObjectiveMetrics ); - jeep.lang.Diag.println( parentConfig.getKeyObjectives() ); - jeep.lang.Diag.println( childConfig.getKeyObjectives() ); - } -} - -// End /////////////////////////////////////////////////////////////// - diff --git a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestExtrapolation.scala b/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestExtrapolation.scala deleted file mode 100644 index 3e103e7a112bea9d938a3175f3169e75e15b3d3b..0000000000000000000000000000000000000000 --- a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestExtrapolation.scala +++ /dev/null @@ -1,37 +0,0 @@ -package uk.ac.york.safire.optimisation.maxplusplant - -object TestExtrapolation { - - def extrapolate(history: List[Double]): Double = { - val interp = new com.nr.interp.Rational_interp( - (0 until history.length).toArray.map { _.toDouble }, - history.toArray, history.length - ) - interp.interp(history.length) - } - - def main(args: Array[String]): Unit = { - - val NumValues = 10 - def linear(m: Double, c: Double)(x: Int): Double = (m * x) + c - val linearSeq = (0 until NumValues).toList.map { i => linear(2.5, 100)(i) } - val quadraticSeq = (0 until NumValues).toList.map { i => (3.1 * i * i) + 100 } - - println("y = 2.5x + 100:") - for (i <- 2 until NumValues) { - val actual = extrapolate(linearSeq.take(i)) - val expected = linearSeq.drop(i).head - println(s"expected: $expected, actual: $actual") - } - - println("y = 3.1 x^2 + 100:") - for (i <- 2 until NumValues) { - val actual = extrapolate(quadraticSeq.take(i)) - val expected = quadraticSeq.drop(i).head - println(s"expected: $expected, actual: $actual") - } - - } -} - -// End /////////////////////////////////////////////////////////////// diff --git a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestFitnessRandom.java b/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestFitnessRandom.java deleted file mode 100644 index 50f83486fffdc2a8d6f273012c07936b5cb73ae9..0000000000000000000000000000000000000000 --- a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestFitnessRandom.java +++ /dev/null @@ -1,38 +0,0 @@ -package uk.ac.york.safire.optimisation.maxplusplant; - -import java.util.List; -import java.util.Random; -import java.util.concurrent.ExecutionException; - -import uk.ac.york.safire.metrics.Configuration; -import uk.ac.york.safire.metrics.ConfigurationType; -import uk.ac.york.safire.optimisation.MockObjectiveFunction; -import uk.ac.york.safire.optimisation.ObjectiveFunction; -import uk.ac.york.safire.optimisation.ObjectiveFunctionArguments; -import uk.ac.york.safire.optimisation.OptmisationUtility; - -/////////////////////////////////// - -public class TestFitnessRandom { - - public static void main(String [] args) throws InterruptedException, ExecutionException { - - final Random rng = new Random(0xDEADBEEF); - final MockObjectiveFunction objectiveFunction = MockObjectiveFunction.largerPlant(); - final ConfigurationType configurationType = objectiveFunction.configurationType(); - - final int populationSize = 100; - - final Configuration config = uk.ac.york.safire.metrics.Utility.randomConfiguration(configurationType, rng); - final List< Configuration > population = uk.ac.york.safire.optimisation.OptmisationUtility.simplePlantMkPopulation( - config, objectiveFunction, populationSize, objectiveFunction.configurationType(), rng); - - for( int i=0; i<populationSize; ++i ) { - jeep.lang.Diag.println( ObjectiveFunction.evaluateNowHelper( objectiveFunction, - new ObjectiveFunctionArguments( population.get(i), - OptmisationUtility.randomControlledMetrics(configurationType, rng) ) ).getObjectiveValues() ); - } - } -} - -// End /////////////////////////////////////////////////////////////// diff --git a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestPlant.java b/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestPlant.java deleted file mode 100644 index c6dbd3ad83d3ecc21a14380c95029d56c8c43d0a..0000000000000000000000000000000000000000 --- a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestPlant.java +++ /dev/null @@ -1,128 +0,0 @@ -package uk.ac.york.safire.optimisation.maxplusplant; - -import java.util.List; -import java.util.Map; -import java.util.Random; -import java.util.logging.Level; - -import org.junit.Test; - -import com.google.common.primitives.Doubles; - -import uk.ac.york.safire.metrics.Configuration; -import uk.ac.york.safire.metrics.Value; -import uk.ac.york.safire.optimisation.ExhaustiveSearchLocalOptimisationEngine; -import uk.ac.york.safire.optimisation.MockObjectiveFunction; -import uk.ac.york.safire.optimisation.ObjectiveFunction; -import uk.ac.york.safire.optimisation.OptimisationEngine; -import uk.ac.york.safire.optimisation.RandomSearchLocalOptimisationEngine; - -/////////////////////////////////// - -public final class TestPlant { - - static final Random rng = new java.util.Random( 0xDEADBEEF ); - - private static SimplePlant smallPlant = PlantGenerator.generatePlant( - 2, // noOfInternalLevels - 1, //int minNoOfVerticesPerInternalLevel - 3, //int maxNoOfVerticesPerInternalLevel - 3, //int noOfMachines - 4, //int maxNoOfModesPerMachine - 1, //int minNominalDuration - 20, //int maxNominalDuration - 1.0, //double minEnergyPerTimeUnit - 10.0, //double maxEnergyPerTimeUnit - 0.1, //double minEnergyMultiplier - 2.0, //double maxEnergyMultiplier - 0.2, //double minDurationMultiplier - 3.0, //double maxDurationMultiplier - rng ); - - /////////////////////////////// - -// static ObjectiveFunction -// makeObjectiveFunction(final SimplePlant plant) { -// return new MockObjectiveFunction(plant); -// } - - /////////////////////////////// - -// static void testRandomSearchImpl(SimplePlant plant, int numIterations, Random rng) { -// final int minEvaluations = 100; -// final int maxEvaluations = 100; -// OptimisationEngine optimisationEngine = new RandomSearchLocalOptimisationEngine(makeObjectiveFunction(plant),minEvaluations,maxEvaluations,rng); -// RunPlant.run(plant, optimisationEngine, numIterations, rng); -// } -// -// /////////////////////////////// -// -// static void testExhaustiveSearchImpl(SimplePlant plant,Random rng) { -// final int numIterations = 10; -// OptimisationEngine optimisationEngine = new ExhaustiveSearchLocalOptimisationEngine(makeObjectiveFunction(plant),rng); -// RunPlant.run(plant, optimisationEngine, numIterations, rng); -// } - - /////////////////////////////// - -// static void testMetaheuristicSearchImpl(SimplePlant plant,int numIterations, Random rng) { -// -// org.uma.jmetal.util.JMetalLogger.logger.setLevel(Level.SEVERE); -// -// /////////////////////////// -// -///********* -// // AlgType [] algTypes = AlgType.values(); -// AlgType [] algTypes = new AlgType [] { -// // AlgType.GWASFGA, -//// AlgType.MOCELL, -//// AlgType.PESA2 -//// , AlgType.SMSEMOA, -//// AlgType.SPEA2, AlgType.NGSA2, -// AlgType.NSGA3 -// }; -// for( AlgType algType: algTypes) { -//*********/ -// final int minEvaluations = 1000; -// final int maxEvaluations = 1000; -// //final int populationSize = 100; -// -//// List< Configuration > population = new ArrayList<>(); -//// for( int i=0; i<populationSize; ++i ) -//// population.add( Utility.randomConfiguration(plant.getConfigurationType(), rng) ); -// -// // jeep.lang.Diag.println( algType ); -// -// OptimisationEngine optimisationEngine = new uk.ac.york.safire.optimisation.JMetalLocalOptimisationEngine( -// // algType, -// minEvaluations, maxEvaluations, makeObjectiveFunction(plant), rng); -// RunPlant.run(plant, optimisationEngine, numIterations, rng); -// // } -// } - - /////////////////////////////// - -// @Test -// public void testRandomSearchSmallPlant() { -// rng.setSeed(0xDEADBEEF); -// final int numIterations = 10000; -// testRandomSearchImpl(smallPlant,numIterations, rng); -// } -// -// @Test -// public void testExhaustiveSearchSmallPlant() { -// rng.setSeed(0xDEADBEEF); -// testExhaustiveSearchImpl(smallPlant,rng); -// } -// -// @Test -// public void testMetaheuristicSearchSmallPlant() { -// rng.setSeed(0xDEADBEEF); -// final int numIterations = 10; -// testMetaheuristicSearchImpl(smallPlant,numIterations,rng); -// } - - /////////////////////////////// -} - -// End /////////////////////////////////////////////////////////////// \ No newline at end of file diff --git a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestPlantGenerator.java b/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestPlantGenerator.java deleted file mode 100644 index 9e598304472130192d305d0d911e1e6ded59958d..0000000000000000000000000000000000000000 --- a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestPlantGenerator.java +++ /dev/null @@ -1,57 +0,0 @@ -package uk.ac.york.safire.optimisation.maxplusplant; - -import java.util.Random; - -import org.junit.Test; - -import jeep.math.ClosedOpenInterval; - -/////////////////////////////////// - -public final class TestPlantGenerator { - - static SimplePlant makePlant(int numMachines, int scaleFactor, Random rng) { - return RunPlant.generatePlant( - 3 * (scaleFactor + 1), // noOfInternalLevels - new ClosedOpenInterval<Integer>(1,3+scaleFactor), // verticesPerInternalLevel - numMachines, // 3 + i, // noOfMachines - 4 + scaleFactor, // maxNoOfModesPerMachine - new ClosedOpenInterval<Integer>(1,20 + scaleFactor), // nominalDuration - new ClosedOpenInterval<Double>(1.0,10.0 + scaleFactor), // energyPerTimeUnit - new ClosedOpenInterval<Double>(0.1,2.0 + scaleFactor), // energyMultiplier - new ClosedOpenInterval<Double>(0.2,3.0 + scaleFactor), // durationMultiplier - rng); - } - - /////////////////////////////// - -// @Test -// public void testRandomSearch() { -// TestPlant.rng.setSeed(0xDEADBEEF); -// -// final int numMachines = 12; -// final int scaleFactor = 10; -// final SimplePlant plant = makePlant(numMachines,scaleFactor,TestPlant.rng); -// final int numIterations = 100; -// TestPlant.testRandomSearchImpl(plant,numIterations,TestPlant.rng); -// } - -// @Test -// public void testExhaustiveSearch() { -// final int numMachines = 12; -// final int scaleFactor = 10; -// final SimplePlant plant = makePlant(numMachines,scaleFactor,TestPlant.rng); -// TestPlant.testExhaustiveSearchImpl(plant,TestPlant.rng); -// } - -// @Test -// public void testMetaheuristicSearch() { -// final int numMachines = 12; -// final int scaleFactor = 1; -// final int numIterations = 1; -// final SimplePlant plant = makePlant(numMachines,scaleFactor,TestPlant.rng); -// TestPlant.testMetaheuristicSearchImpl(plant,numIterations, TestPlant.rng); -// } -} - -// End /////////////////////////////////////////////////////////////// \ No newline at end of file diff --git a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestReadConfiguration.java b/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestReadConfiguration.java deleted file mode 100644 index 3a7d0c61c73e22e3c7f6690d5f9bb38aea195c0f..0000000000000000000000000000000000000000 --- a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TestReadConfiguration.java +++ /dev/null @@ -1,34 +0,0 @@ -package uk.ac.york.safire.optimisation.maxplusplant; - -import java.util.Random; - -import uk.ac.york.safire.metrics.Configuration; -import uk.ac.york.safire.metrics.ConfigurationType; -import uk.ac.york.safire.metrics.JsonConverter; -import uk.ac.york.safire.metrics.TestConfiguration; -import uk.ac.york.safire.metrics.Utility; -// import uk.ac.york.safire.metrics.test.*; - -public class TestReadConfiguration { - - /******** - public static void main(String [] args) { - - final ConfigurationType ct = TestConfiguration.toyConfigurationType(); - Configuration conf = Utility.randomConfiguration( ct, new Random(0xDEADBEEF) ); - System.out.println( new JsonConverter().toJson(conf) ); - - System.exit(0); - // String configSerialisedAsJSON = 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allocation\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Nominal\\",\\"data\\":{\\"name\\":\\"Std Weiss A 1 allocation type \\",\\"values\\":[\\"Mixer 1\\",\\"Mixer 2\\",\\"Mixer 3\\",\\"Mixer 4\\",\\"Mixer 5\\"],\\"typ\\":\\"NOMINAL\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss A 1 priority\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Integer\\",\\"data\\":{\\"min\\":10,\\"max\\":10,\\"typ\\":\\"INT\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss A 2 allocation\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Nominal\\",\\"data\\":{\\"name\\":\\"Std Weiss A 2 allocation type \\",\\"values\\":[\\"Mixer 1\\",\\"Mixer 2\\",\\"Mixer 3\\",\\"Mixer 4\\",\\"Mixer 5\\"],\\"typ\\":\\"NOMINAL\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss A 2 priority\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Integer\\",\\"data\\":{\\"min\\":61,\\"max\\":61,\\"typ\\":\\"INT\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss A 3 allocation\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Nominal\\",\\"data\\":{\\"name\\":\\"Std Weiss A 3 allocation type \\",\\"values\\":[\\"Mixer 1\\",\\"Mixer 2\\",\\"Mixer 3\\",\\"Mixer 4\\",\\"Mixer 5\\"],\\"typ\\":\\"NOMINAL\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss A 3 priority\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Integer\\",\\"data\\":{\\"min\\":18,\\"max\\":18,\\"typ\\":\\"INT\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss A 4 allocation\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Nominal\\",\\"data\\":{\\"name\\":\\"Std Weiss A 4 allocation type \\",\\"values\\":[\\"Mixer 1\\",\\"Mixer 2\\",\\"Mixer 3\\",\\"Mixer 4\\",\\"Mixer 5\\"],\\"typ\\":\\"NOMINAL\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss A 4 priority\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Integer\\",\\"data\\":{\\"min\\":6,\\"max\\":6,\\"typ\\":\\"INT\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss A 5 allocation\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Nominal\\",\\"data\\":{\\"name\\":\\"Std Weiss A 5 allocation type \\",\\"values\\":[\\"Mixer 1\\",\\"Mixer 2\\",\\"Mixer 3\\",\\"Mixer 4\\",\\"Mixer 5\\"],\\"typ\\":\\"NOMINAL\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss A 5 priority\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Integer\\",\\"data\\":{\\"min\\":38,\\"max\\":38,\\"typ\\":\\"INT\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss A 6 allocation\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Nominal\\",\\"data\\":{\\"name\\":\\"Std Weiss A 6 allocation type \\",\\"values\\":[\\"Mixer 1\\",\\"Mixer 2\\",\\"Mixer 3\\",\\"Mixer 4\\",\\"Mixer 5\\"],\\"typ\\":\\"NOMINAL\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss A 6 priority\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Integer\\",\\"data\\":{\\"min\\":14,\\"max\\":14,\\"typ\\":\\"INT\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss A 7 allocation\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Nominal\\",\\"data\\":{\\"name\\":\\"Std Weiss A 7 allocation type \\",\\"values\\":[\\"Mixer 1\\",\\"Mixer 2\\",\\"Mixer 3\\",\\"Mixer 4\\",\\"Mixer 5\\"],\\"typ\\":\\"NOMINAL\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss A 7 priority\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Integer\\",\\"data\\":{\\"min\\":33,\\"max\\":33,\\"typ\\":\\"INT\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss A 8 allocation\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Nominal\\",\\"data\\":{\\"name\\":\\"Std Weiss A 8 allocation type \\",\\"values\\":[\\"Mixer 1\\",\\"Mixer 2\\",\\"Mixer 3\\",\\"Mixer 4\\",\\"Mixer 5\\"],\\"typ\\":\\"NOMINAL\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss A 8 priority\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Integer\\",\\"data\\":{\\"min\\":20,\\"max\\":20,\\"typ\\":\\"INT\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss B 0 allocation\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Nominal\\",\\"data\\":{\\"name\\":\\"Std Weiss B 0 allocation type \\",\\"values\\":[\\"Mixer 7\\",\\"Mixer 8\\"],\\"typ\\":\\"NOMINAL\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss B 0 priority\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Integer\\",\\"data\\":{\\"min\\":36,\\"max\\":36,\\"typ\\":\\"INT\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Std Weiss B 1 allocation\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Nominal\\",\\"data\\":{\\"name\\":\\"Std Weiss B 1 allocation type 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\\",\\"values\\":[\\"Mixer 1\\",\\"Mixer 2\\",\\"Mixer 3\\",\\"Mixer 4\\",\\"Mixer 5\\"],\\"typ\\":\\"NOMINAL\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Weiss Matt A 6 priority\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Integer\\",\\"data\\":{\\"min\\":24,\\"max\\":24,\\"typ\\":\\"INT\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Weiss Matt A 7 allocation\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Nominal\\",\\"data\\":{\\"name\\":\\"Weiss Matt A 7 allocation type \\",\\"values\\":[\\"Mixer 1\\",\\"Mixer 2\\",\\"Mixer 3\\",\\"Mixer 4\\",\\"Mixer 5\\"],\\"typ\\":\\"NOMINAL\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Weiss Matt A 7 priority\\",\\"valueType\\":{\\"type\\":\\"uk.ac.york.safire.metrics.ValueType$Integer\\",\\"data\\":{\\"min\\":16,\\"max\\":16,\\"typ\\":\\"INT\\"}},\\"units\\":\\"n/a\\"},{\\"name\\":\\"Weiss Matt A 8 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start\\":{\\"type\\":\\"uk.ac.york.safire.metrics.Value$Int\\",\\"data\\":{\\"value\\":1348,\\"typ\\":{\\"min\\":1348,\\"max\\":1348,\\"typ\\":\\"INT\\"}}},\\"Std Weiss B 1 end\\":{\\"type\\":\\"uk.ac.york.safire.metrics.Value$Int\\",\\"data\\":{\\"value\\":2600,\\"typ\\":{\\"min\\":2600,\\"max\\":2600,\\"typ\\":\\"INT\\"}}},\\"Weiss Matt B 0 end\\":{\\"type\\":\\"uk.ac.york.safire.metrics.Value$Int\\",\\"data\\":{\\"value\\":4981,\\"typ\\":{\\"min\\":4981,\\"max\\":4981,\\"typ\\":\\"INT\\"}}},\\"Std Weiss A 3 end\\":{\\"type\\":\\"uk.ac.york.safire.metrics.Value$Int\\",\\"data\\":{\\"value\\":4285,\\"typ\\":{\\"min\\":4285,\\"max\\":4285,\\"typ\\":\\"INT\\"}}},\\"Super Glanz B 2 start\\":{\\"type\\":\\"uk.ac.york.safire.metrics.Value$Int\\",\\"data\\":{\\"value\\":2758,\\"typ\\":{\\"min\\":2758,\\"max\\":2758,\\"typ\\":\\"INT\\"}}},\\"Weiss Matt A 4 start\\":{\\"type\\":\\"uk.ac.york.safire.metrics.Value$Int\\",\\"data\\":{\\"value\\":1593,\\"typ\\":{\\"min\\":1593,\\"max\\":1593,\\"typ\\":\\"INT\\"}}},\\"Std Weiss D 3 start\\":{\\"type\\":\\"uk.ac.york.safire.metrics.Value$Int\\",\\"data\\":{\\"value\\":1151,\\"typ\\":{\\"min\\":1151,\\"max\\":1151,\\"typ\\":\\"INT\\"}}},\\"Super Glanz B 3 end\\":{\\"type\\":\\"uk.ac.york.safire.metrics.Value$Int\\",\\"data\\":{\\"value\\":6248,\\"typ\\":{\\"min\\":6248,\\"max\\":6248,\\"typ\\":\\"INT\\"}}},\\"Weiss Basis A 3 end\\":{\\"type\\":\\"uk.ac.york.safire.metrics.Value$Int\\",\\"data\\":{\\"value\\":5592,\\"typ\\":{\\"min\\":5592,\\"max\\":5592,\\"typ\\":\\"INT\\"}}}},\\"keyObjectives\\":{\\"makespan\\":{\\"type\\":\\"uk.ac.york.safire.metrics.Value$Real\\",\\"data\\":{\\"value\\":1.0929605168266817E308,\\"typ\\":{\\"min\\":0.0,\\"max\\":1.7976931348623157E308,\\"typ\\":\\"REAL\\"}}}}}\"; - - String configSerialisedAsJSON = "{\"configurationType\":{\"type\":\"uk.ac.york.safire.metrics.ConfigurationType$Explicit\",\"data\":{\"keyObjectiveMetricTypes\":[{\"name\":\"key objective metric 1\",\"valueType\":{\"min\":0.0,\"max\":1.7976931348623157E308,\"typ\":\"REAL\"},\"units\":\"scalar\",\"searchDirection\":\"MINIMIZING\"}],\"controlledMetricTypes\":[{\"name\":\"controlled metric 1\",\"valueType\":{\"type\":\"uk.ac.york.safire.metrics.ValueType$Real\",\"data\":{\"min\":0.0,\"max\":1.7976931348623157E308,\"typ\":\"REAL\"}},\"units\":\"scalar\"}],\"observableMetricTypes\":[{\"name\":\"observable metric 1\",\"valueType\":{\"type\":\"uk.ac.york.safire.metrics.ValueType$Real\",\"data\":{\"min\":0.0,\"max\":1.7976931348623157E308,\"typ\":\"REAL\"}},\"units\":\"scalar\",\"sampleRate\":{\"type\":\"uk.ac.york.safire.metrics.SampleRate$EventDriven\",\"data\":{}}}]}},\"controlledMetrics\":{\"controlled metric 1\":{\"type\":\"uk.ac.york.safire.metrics.Value$Real\",\"data\":{\"value\":4.157698991921725E307,\"typ\":{\"min\":0.0,\"max\":1.7976931348623157E308,\"typ\":\"REAL\"}}}},\"observableMetrics\":{\"observable metric 1\":{\"type\":\"uk.ac.york.safire.metrics.Value$Real\",\"data\":{\"value\":1.605952375559853E308,\"typ\":{\"min\":0.0,\"max\":1.7976931348623157E308,\"typ\":\"REAL\"}}}},\"keyObjectives\":{\"key objective metric 1\":{\"type\":\"uk.ac.york.safire.metrics.Value$Real\",\"data\":{\"value\":5.251509929818474E307,\"typ\":{\"min\":0.0,\"max\":1.7976931348623157E308,\"typ\":\"REAL\"}}}}}"; - - final uk.ac.york.safire.metrics.Configuration config = new uk.ac.york.safire.metrics.JsonConverter().fromJson(configSerialisedAsJSON, Configuration.class ); - System.out.println( config.getControlledMetrics() ); - System.out.println( config.getObservableMetrics() ); - System.out.println( config.getKeyObjectives() ); - } - ********/ -} - -// End //////////////////////////////////////////////////////// \ No newline at end of file diff --git a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TuneCostParameters.java b/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TuneCostParameters.java deleted file mode 100644 index 7c81f416a3500832be90b0cf5346a17fae2934a5..0000000000000000000000000000000000000000 --- a/src/test/java/uk/ac/york/safire/optimisation/maxplusplant/TuneCostParameters.java +++ /dev/null @@ -1,95 +0,0 @@ -package uk.ac.york.safire.optimisation.maxplusplant; - -import java.util.List; -import java.util.Random; - -import uk.ac.york.safire.metrics.Configuration; -import uk.ac.york.safire.optimisation.JMetalLocalOptimisationEngine; -import uk.ac.york.safire.optimisation.MockObjectiveFunction; -import uk.ac.york.safire.optimisation.OEClientCommon; -import uk.ac.york.safire.optimisation.OptimisationEngine; - -/////////////////////////////////// - -public final class TuneCostParameters { - - private static final double energyCostWeighting = 1.0; - private static final double makespanCostWeighting = 1.0; - private static final double computeTimeCostWeighting = 1.0; - - /////////////////////////// - - private static final double urgency = 0.5; - private static final double quality = 0.5; - - private static final int numGenerations = 1000; - private static final int populationSize = 100; - - private static final int minEvaluations = populationSize * numGenerations; - private static final int maxEvaluations = minEvaluations; - - /////////////////////////////// - - public static void run(MockObjectiveFunction objectiveFunction, long seed) { - - // JMetal single-objective GA: -// final OptimisationEngine oe = JMetalLocalOptimisationEngine.soga( -// minEvaluations, maxEvaluations, objectiveFunction, new Random(seed)); - final OptimisationEngine oe = JMetalLocalOptimisationEngine.nsga3( - minEvaluations, maxEvaluations, objectiveFunction, new Random(seed)); - - System.out.println("Optimum fitness: " + objectiveFunction.optimum() ); - System.out.println( "Applying Optimisation Engine: " + oe ); - - final scala.Tuple2< List< scala.Tuple2<Configuration,Double> >, Long > populationWithFitnessAndComputeTime = - OEClientCommon.run(oe, objectiveFunction, populationSize, urgency, quality, seed); - - // final List< scala.Tuple2<Configuration,Double> > populationWithFitness = populationWithFitnessAndComputeTime._1(); - final List< Configuration > population = populationWithFitnessAndComputeTime._1().stream().map( x -> x._1() ).collect(java.util.stream.Collectors.toList()); - final Long computeTime = populationWithFitnessAndComputeTime._2(); - - System.out.println( "Compute time (secs): " + ( computeTime / 1000.0 ) ); - System.out.println( "relativeErrorStats: " + objectiveFunction.relativeErrorStats(population) ); - } - - /////////////////////////////// - - public static void main( String [] args ) { - - System.out.println( "Parameters -- populationSize: " + populationSize + - ", minEvaluations: " + minEvaluations + - ", maxEvaluations: " + maxEvaluations + - ", urgency: " + urgency + - ", quality: " + quality + - ", energyCostWeighting: " + energyCostWeighting + - ", makespanCostWeighting: " + makespanCostWeighting + - ", computeTimeCostWeighting: " + computeTimeCostWeighting - ); - - System.out.println(); - - final long seed = 0xDEADBEEF; - final Random rng = new Random(seed); - - /////////////////////////// - - // final MockObjectiveFunction objectiveFunction = - // // MockObjectiveFunction.smallPlant(energyCostWeighting,makespanCostWeighting,rng); - // MockObjectiveFunction.largerPlant(energyCostWeighting,makespanCostWeighting); - final int numBenchmarks = 30; - final long [] seeds = rng.longs(numBenchmarks).toArray(); - - final List< MockObjectiveFunction > benchmarks = - ScaledPlantGenerator.generateBenchmarkInstances(energyCostWeighting,makespanCostWeighting, numBenchmarks,seed); - - for(int i=0; i<benchmarks.size(); ++i) { - System.out.println( "Running JMetal GA on instance " + (i+1) + " of " + benchmarks.size() ); - final long startTime = System.currentTimeMillis(); - run( benchmarks.get(i), seeds[i] ); - final long endTime = System.currentTimeMillis(); - System.out.println( "elapsed (secs): " + ( ( endTime - startTime ) / 1000.0 ) ); - } - } -} - -// End /////////////////////////////////////////////////////////////// diff --git a/src/test/scala/uk/ac/york/safire/optimisation/TestChocoSolver.scala b/src/test/scala/uk/ac/york/safire/optimisation/TestChocoSolver.scala deleted file mode 100644 index 5992b0cd3a0ee82d21be5422750ec40dd508ff39..0000000000000000000000000000000000000000 --- a/src/test/scala/uk/ac/york/safire/optimisation/TestChocoSolver.scala +++ /dev/null @@ -1,48 +0,0 @@ -package uk.ac.york.safire.optimisation - -import uk.ac.york.safire.optimisation.maxplusplant._ - -import org.junit.Assert._ -import org.junit.Test - -/////////////////////////////////// - -class TestChocoSolver { - - val rng = new java.util.Random(0xDEADBEEF) - val smallPlant = PlantGenerator.generatePlant( - 2, // noOfInternalLevels - 1, //int minNoOfVerticesPerInternalLevel - 3, //int maxNoOfVerticesPerInternalLevel - 3, //int noOfMachines - 4, //int maxNoOfModesPerMachine - 1, //int minNominalDuration - 20, //int maxNominalDuration - 1.0, //double minEnergyPerTimeUnit - 10.0, //double maxEnergyPerTimeUnit - 0.1, //double minEnergyMultiplier - 2.0, //double maxEnergyMultiplier - 0.2, //double minDurationMultiplier - 3.0, //double maxDurationMultiplier - rng - ) - - ///////////////////////////////// - - @Test - def test1: Unit = { - - // val parentConfig = uk.ac.york.safire.metrics.Utility.randomConfiguration(smallPlant.getConfigurationType(), rng ) - // val of = new MockObjectiveFunction(smallPlant) - // val solutions = JMetalLocalOptimisationEngine.optimalSolutions(parentConfig, of) - // jeep.lang.Diag.println( solutions ) - - val xx = smallPlant.cpGetParetoFront() - println(smallPlant.cpGetParetoFront()) - - } - - ///////////////////////////////// -} - -// End /////////////////////////////////////////////////////////////// diff --git a/src/test/scala/uk/ac/york/safire/optimisation/ia/TestImmediateSuccessor.scala b/src/test/scala/uk/ac/york/safire/optimisation/ia/TestImmediateSuccessor.scala deleted file mode 100644 index 164b642c24478acf3879ab5ea9405b61f8e9b054..0000000000000000000000000000000000000000 --- a/src/test/scala/uk/ac/york/safire/optimisation/ia/TestImmediateSuccessor.scala +++ /dev/null @@ -1,93 +0,0 @@ -package uk.ac.york.safire.optimisation.ia - -import org.junit._ -import org.junit.Assert._ - -import uk.ac.york.safire.optimisation.ia._ -import scala.collection.mutable.PriorityQueue - -////////////////////////////////////////////////////////////////////// - -final class TestImmediateSuccessor { - - @Test - def testProceedGenerally(): Unit = { - - val resource1 = Resource("R1") - val resource2 = Resource("R2") - - val taskA = Task(TaskId("A"), resourceExecutionTime = Map(resource1 -> 50), relations = Map(), releaseTime = 0) - val taskB = Task(TaskId("B"), resourceExecutionTime = Map(resource2 -> 50), relations = Map(TaskId("A") -> IntervalRelation.PreceededGenerallyBy), releaseTime = 0) - val taskC = Task(TaskId("C"), resourceExecutionTime = Map(resource2 -> 20), relations = Map(), releaseTime = 0) - val taskD = Task(TaskId("D"), resourceExecutionTime = Map(resource1 -> 30), relations = Map(TaskId("C") -> IntervalRelation.PreceededGenerallyBy), releaseTime = 0) - - val scheduler = new FIFOScheduler() - val taskQueue = PriorityQueue(taskA, taskB, taskC, taskD)(Ordering.by { (t: Task) => t.releaseTime }) - val schedule = scheduler.schedule(taskQueue, Set(resource1, resource2)) - - // assertEquals( Schedule(resource, task), schedule ) - } - - ///////////////////////////////// - - @Test - def testIsImmediateSuccessorOf(): Unit = { - - val resource1 = Resource("R1") - val resource2 = Resource("R2") - - val taskA = Task(TaskId("A"), resourceExecutionTime = Map(), relations = Map(), releaseTime = 0) - val taskB = Task(TaskId("B"), resourceExecutionTime = Map(), relations = Map(TaskId("A") -> IntervalRelation.PreceededImmediatelyBy), releaseTime = 0) - - assertTrue(taskB.isImmediateSuccessorOf(taskA)) - } - - ///////////////////////////////// - - @Test - def testProceedImmediately1(): Unit = { - - val resource1 = Resource("R1") - val resource2 = Resource("R2") - - val taskA = Task(TaskId("A"), resourceExecutionTime = Map(resource1 -> 50), relations = Map(), releaseTime = 0) - val taskB = Task(TaskId("B"), resourceExecutionTime = Map(resource2 -> 50), relations = Map(TaskId("A") -> IntervalRelation.PreceededImmediatelyBy), releaseTime = 0) - val taskC = Task(TaskId("C"), resourceExecutionTime = Map(resource2 -> 20), relations = Map(), releaseTime = 0) - val taskD = Task(TaskId("D"), resourceExecutionTime = Map(resource1 -> 30), relations = Map(TaskId("C") -> IntervalRelation.PreceededImmediatelyBy), releaseTime = 0) - - val scheduler = new FIFOScheduler() - val taskQueue = PriorityQueue(taskA, taskB, taskC, taskD)(Ordering.by { (t: Task) => t.releaseTime }) - val schedule = scheduler.schedule(taskQueue, Set(resource1, resource2)) - - assertEquals(Some(Schedule(Map( - resource1 -> List((taskA, Interval(0, 50)), (taskD, Interval(120, 150))), - resource2 -> List((taskB, Interval(50, 100)), (taskC, Interval(100, 120))) - ))), schedule) - } - - ///////////////////////////////// - - @Test - def testProceedImmediately2(): Unit = { - - val resource1 = Resource("R1") - val resource2 = Resource("R2") - - val taskA = Task(TaskId("A"), resourceExecutionTime = Map(resource1 -> 50), relations = Map(), releaseTime = 0) - val taskB = Task(TaskId("B"), resourceExecutionTime = Map(resource2 -> 50), relations = Map(TaskId("A") -> IntervalRelation.PreceededImmediatelyBy), releaseTime = 0) - val taskC = Task(TaskId("C"), resourceExecutionTime = Map(resource2 -> 20), relations = Map(), releaseTime = 0) - val taskD = Task(TaskId("D"), resourceExecutionTime = Map(resource1 -> 30), relations = Map(TaskId("C") -> IntervalRelation.PreceededImmediatelyBy), releaseTime = 0) - val taskE = Task(TaskId("E"), resourceExecutionTime = Map(resource2 -> 9), relations = Map(), releaseTime = 0) - - val scheduler = new FIFOScheduler() - val taskQueue = PriorityQueue(taskE, taskA, taskB, taskC, taskD)(Ordering.by { (t: Task) => t.releaseTime }) - val schedule = scheduler.schedule(taskQueue, Set(resource1, resource2)) - - assertEquals(Some(Schedule(Map( - resource1 -> List((taskA, Interval(0, 50)), (taskD, Interval(120, 150))), - resource2 -> List((taskE, Interval(0, 9)), (taskB, Interval(50, 100)), (taskC, Interval(100, 120))) - ))), schedule) - } -} - -// End /////////////////////////////////////////////////////////////// diff --git a/src/test/scala/uk/ac/york/safire/optimisation/ia/TestJsonSerialisation.scala b/src/test/scala/uk/ac/york/safire/optimisation/ia/TestJsonSerialisation.scala deleted file mode 100644 index cc3180157fed1f182cb09c3a50c21c8fd97208b3..0000000000000000000000000000000000000000 --- a/src/test/scala/uk/ac/york/safire/optimisation/ia/TestJsonSerialisation.scala +++ /dev/null @@ -1,49 +0,0 @@ -package uk.ac.york.safire.optimisation.ia - -import org.junit._ -import org.junit.Assert._ - -import spray.json._ - -import uk.ac.york.safire.optimisation.ia._ - -////////////////////////////////////////////////////////////////////// - -final class TestJsonSerialisation { - - @Test - def testInterval(): Unit = { - - import uk.ac.york.safire.optimisation.ia.IAJSonProtocol._ - // import DefaultJsonProtocol._ - - // implicit val intervalFormat: JsonFormat[Interval] = DefaultJsonProtocol.jsonFormat2(uk.ac.york.safire.optimisation.ia.Interval) - implicit val intervalFormat = DefaultJsonProtocol.jsonFormat[Int, Int, Interval](Interval, "lower", "upper") - - val interval = Interval(0, 10) - val toJson = interval.toJson - val fromJson = toJson.convertTo[uk.ac.york.safire.optimisation.ia.Interval] - - assertEquals(interval, fromJson) - } - - ///////////////////////////////// - - @Test - def testTask(): Unit = { - - import uk.ac.york.safire.optimisation.ia.IAJSonProtocol._ - - val resource = Resource("R1") - - val taskResourceExecutionTimes = Map(resource -> 40) - val task = Task.single(TaskId("A"), taskResourceExecutionTimes, releaseTime = 0) - - val toJson = task.toJson - val fromJson = toJson.convertTo[Task] - - assertEquals(task, fromJson) - } -} - -// End /////////////////////////////////////////////////////////////// diff --git a/src/test/scala/uk/ac/york/safire/optimisation/ia/TestOAS.scala b/src/test/scala/uk/ac/york/safire/optimisation/ia/TestOAS.scala deleted file mode 100644 index a95495c40271dac510c49979b3ce5959bf63627a..0000000000000000000000000000000000000000 --- a/src/test/scala/uk/ac/york/safire/optimisation/ia/TestOAS.scala +++ /dev/null @@ -1,110 +0,0 @@ -package uk.ac.york.safire.optimisation.ia - -import org.junit._ -import org.junit.Assert._ - -import uk.ac.york.safire.optimisation.ia._ -import scala.collection.mutable.PriorityQueue - -/////////////////////////////////// - -class TestOAS { - - def makeMutexMap(mutexResources: List[List[Resource]]): Map[Resource, Set[Resource]] = { - def mkMutexList(l: List[Resource]): List[(Resource, Set[Resource])] = - (0 until l.size).toList.map { i => l(i) -> l.to[Set].diff(Set(l(i))) - } - - Map() ++ mutexResources.map { mkMutexList }.flatten - } - - ///////////////////////////////// - - @Test - def testSimplifiedOASUseCase(): Unit = { - - val silo1_Scale1_Conveyor1_Mixer1 = Resource("silo1_Scale1_Conveyor1_Mixer1") - val silo1_Scale1_Conveyor1_Mixer2 = Resource("silo1_Scale1_Conveyor1_Mixer2") - val silo1_Scale1_Conveyor1_Mixer3 = Resource("silo1_Scale1_Conveyor1_Mixer3") - - val siloWater_Mixer1 = Resource("siloWater_Mixer1") - val siloWater_Mixer2 = Resource("siloWater_Mixer2") - val siloWater_Mixer3 = Resource("siloWater_Mixer3") - - val mixer1 = Resource("mixer1") - val mixer2 = Resource("mixer2") - val mixer3 = Resource("mixer3") - - val mixer1_Pipeline1_Tank1 = Resource("mixer1_Pipeline1_Tank1") - val mixer1_Pipeline2_Tank2 = Resource("mixer1_Pipeline2_Tank2") - val mixer2_Pipeline1_Tank1 = Resource("mixer2_Pipeline1_Tank1") - val mixer2_Pipeline2_Tank2 = Resource("mixer2_Pipeline2_Tank2") - val mixer3_Pipeline1_Tank1 = Resource("mixer3_Pipeline1_Tank1") - val mixer3_Pipeline2_Tank2 = Resource("mixer3_Pipeline2_Tank2") - - val mixer1Mutex = List(silo1_Scale1_Conveyor1_Mixer1, siloWater_Mixer1, mixer1, mixer1_Pipeline1_Tank1, mixer1_Pipeline2_Tank2) - val mixer2Mutex = List(silo1_Scale1_Conveyor1_Mixer2, siloWater_Mixer2, mixer2, mixer2_Pipeline1_Tank1, mixer2_Pipeline2_Tank2) - val mixer3Mutex = List(silo1_Scale1_Conveyor1_Mixer3, siloWater_Mixer3, mixer3, mixer3_Pipeline1_Tank1, mixer3_Pipeline2_Tank2) - val tank1Mutex = List(mixer1_Pipeline1_Tank1, mixer2_Pipeline1_Tank1, mixer3_Pipeline1_Tank1) - val tank2Mutex = List(mixer1_Pipeline2_Tank2, mixer2_Pipeline2_Tank2, mixer3_Pipeline2_Tank2) - - // val mixer1Mutex = List(silo1_Scale1_Conveyor1_Mixer1,siloWater_Mixer1,mixer1,mixer1_Pipeline1_Tank1) - // val mixer2Mutex = List(silo1_Scale1_Conveyor1_Mixer2,siloWater_Mixer2,mixer2,mixer2_Pipeline1_Tank1,mixer2_Pipeline1_Tank1,mixer2_Pipeline2_Tank2) - // val mixer3Mutex = List(silo1_Scale1_Conveyor1_Mixer3,siloWater_Mixer3,mixer3,mixer2_Pipeline1_Tank1,mixer3_Pipeline1_Tank1,mixer3_Pipeline2_Tank2) - - /* - val stage1ExecutionTimes = Map( silo1_Scale1_Conveyor1_Mixer1 -> 40, silo1_Scale1_Conveyor1_Mixer2 -> 30, silo1_Scale1_Conveyor1_Mixer3 -> 40) - val stage2ExecutionTimes = Map( siloWater_Mixer1 -> 10, siloWater_Mixer2 -> 10, siloWater_Mixer3 -> 10) - val stage3ExecutionTimes = Map( mixer1 -> 100, mixer2 -> 100, mixer3 -> 120) - val stage4ExecutionTimes = Map( mixer1_Pipeline1_Tank1 -> 40, mixer1_Pipeline2_Tank2 -> 30, mixer2_Pipeline1_Tank1 -> 40, - mixer2_Pipeline2_Tank2 -> 40, mixer3_Pipeline1_Tank1 -> 30, mixer3_Pipeline2_Tank2 -> 40) - -*/ - //decision from OE: paint1: mixer2, tank1 - - //note: only certain paths are allowed, so the execution times must be finetuned somehow to reflect this - - val paint1_Stage1ExecutionTimes = Map(silo1_Scale1_Conveyor1_Mixer2 -> 30) - val paint1_Stage2ExecutionTimes = Map(siloWater_Mixer2 -> 10) - val paint1_Stage3ExecutionTimes = Map(mixer2 -> 100) - val paint1_Stage4ExecutionTimes = Map(mixer2_Pipeline1_Tank1 -> 40) - - val mutex = makeMutexMap(List()) // mixer1Mutex,mixer2Mutex,mixer3Mutex,tank1Mutex,tank2Mutex)) - val antiAffinity: Map[Resource, Set[Resource]] = Map() - - val paint1_Stage1 = Task.single(TaskId("paint1_Stage1"), paint1_Stage1ExecutionTimes, releaseTime = 0, mutex) - val paint1_Stage2 = Task(TaskId("paint1_Stage2"), paint1_Stage2ExecutionTimes, Map(paint1_Stage1.id -> IntervalRelation.PreceededGenerallyBy), releaseTime = 0, mutex, antiAffinity, Some(Product("WeiB Glanz", 20))) - val paint1_Stage3 = Task(TaskId("paint1_Stage3"), paint1_Stage3ExecutionTimes, Map(paint1_Stage2.id -> IntervalRelation.PreceededGenerallyBy), releaseTime = 0, mutex) - val paint1_Stage4 = Task(TaskId("paint1_Stage4"), paint1_Stage4ExecutionTimes, Map(paint1_Stage3.id -> IntervalRelation.PreceededGenerallyBy), releaseTime = 0, mutex, antiAffinity, Some(Product("WeiB Glanz", 30))) - //note: probably we would need to add more mutexes, not just one per stage - - // val paint1_Start1 = 0 - // val paint1_Completion1 = paint1_Stage1ExecutionTimes(silo1_Scale1_Conveyor1_Mixer2) - // val paint1_Start2 = paint1_Completion1 - // val paint1_Completion2 = paint1_Completion1 + paint1_Stage2ExecutionTimes(siloWater_Mixer2) - // val paint1_Start3 = paint1_Completion2 - // val paint1_Completion3 = paint1_Completion2 + paint1_Stage3ExecutionTimes(mixer2) - // val paint1_Start4 = paint1_Completion3 - // val paint1_Completion4 = paint1_Completion3 + paint1_Stage4ExecutionTimes(mixer2_Pipeline1_Tank1) - - // println("paint1_Completion4: " + paint1_Completion4) - - object oasProductReporter extends ProductReporter { - override def apply(r: Resource, schedule: List[(Task, Interval)]): Option[Product] = { - schedule.last._1.finalProduct - } - } - - val scheduler = new FIFOScheduler() - - { - val taskQueue = PriorityQueue(paint1_Stage1, paint1_Stage2, paint1_Stage3, paint1_Stage4)(Ordering.by { (t: Task) => t.releaseTime }) - val schedule = scheduler.schedule(taskQueue, mixer2Mutex.toSet) - - assertEquals(Some(180), schedule.map { _.makespan }) - assertEquals(List(Product("WeiB Glanz", 50)), Schedule.consolodatedProductReport(schedule.get, oasProductReporter)) - } - } -} - -// End /////////////////////////////////////////////////////////////// diff --git a/src/test/scala/uk/ac/york/safire/optimisation/ia/TestTask.scala b/src/test/scala/uk/ac/york/safire/optimisation/ia/TestTask.scala deleted file mode 100644 index 6e3effd0ca0911c2c06e0e7dccddb4757f732fdd..0000000000000000000000000000000000000000 --- a/src/test/scala/uk/ac/york/safire/optimisation/ia/TestTask.scala +++ /dev/null @@ -1,169 +0,0 @@ -package uk.ac.york.safire.optimisation.ia - -import org.junit._ -import org.junit.Assert._ - -import uk.ac.york.safire.optimisation.ia._ -import scala.collection.mutable.PriorityQueue - -////////////////////////////////////////////////////////////////////// - -final class TestTask { - - /** - * Test numbers refer to the equation numbering from - * "An Interval Algebra for Multiprocessor Resource Allocation" (IAMRA) - * by Indrusiak and Dziurzanski - */ - - @Test - def testIAMRA6(): Unit = { - - val resource = Resource("R1") - - val taskResourceExecutionTimes = Map(resource -> 40) - val task = Task.single(TaskId("A"), taskResourceExecutionTimes, releaseTime = 0) - - val scheduler = new FIFOScheduler() - val taskQueue = PriorityQueue(task)(Ordering.by { (t: Task) => t.releaseTime }) - val schedule = scheduler.schedule(taskQueue, Set(resource)) - - assertEquals(Some(Schedule(resource, task)), schedule) - } - - ///////////////////////////////// - - @Test - def testIAMRA7(): Unit = { - - val resource = Resource("R1") - - val task1ResourceExecutionTimes = Map(resource -> 40) - val task1 = Task.single(TaskId("A"), task1ResourceExecutionTimes, releaseTime = 0) - - val task2ResourceExecutionTimes = Map(resource -> 50) - val task2 = Task.single(TaskId("B"), task2ResourceExecutionTimes, releaseTime = 0) - - val scheduler = new FIFOScheduler() - val taskQueue = PriorityQueue(task1, task2)(Ordering.by { (t: Task) => t.releaseTime }) - val schedule = scheduler.schedule(taskQueue, Set(resource)) - - val start1 = 0 - val completion1 = task1ResourceExecutionTimes(resource) - val start2 = completion1 - val completion2 = completion1 + task2ResourceExecutionTimes(resource) - - assertEquals(Some(Schedule(Map(resource -> List((task1, Interval(start1, completion1)), (task2, Interval(start2, completion2)))))), schedule) - } - - ///////////////////////////////// - - @Test - def testFIFOMultipleResources(): Unit = { - - val resource = Resource("R1") - val resource2 = Resource("R2") - - val taskResourceExecutionTimes = Map(resource -> 40, resource2 -> 30) - val task1 = Task.single(TaskId("A"), taskResourceExecutionTimes, releaseTime = 0) - val task2 = Task.single(TaskId("B"), taskResourceExecutionTimes, releaseTime = 0) - - val scheduler = new FIFOScheduler() - - { - val taskQueue = PriorityQueue(task1, task2)(Ordering.by { (t: Task) => t.releaseTime }) - val schedule = scheduler.schedule(taskQueue, Set(resource, resource2)) - assertEquals(Some(40), schedule.map { _.makespan }) - } - { - val taskQueue = PriorityQueue(task1, task2)(Ordering.by { (t: Task) => t.releaseTime }) - val schedule = scheduler.schedule(taskQueue, Set(resource)) - assertEquals(Some(80), schedule.map { _.makespan }) - } - } - - ///////////////////////////////// - - @Test - def testPriorityFIFO(): Unit = { - - val resource = Resource("R1") - - val taskResourceExecutionTimes = Map(resource -> 40) - val LowPriorityParent = Task.single(TaskId("Parent"), taskResourceExecutionTimes, releaseTime = 0) - val HighPriorityChild = Task(TaskId("Child"), taskResourceExecutionTimes, - Map(LowPriorityParent.id -> IntervalRelation.PreceededGenerallyBy), releaseTime = 0) - - val scheduler = new FIFOScheduler() - - val priorityOrdering: Ordering[Task] = Ordering.by { - // Hard-coded ordering: - (t: Task) => - t match { - case HighPriorityChild => 0 - case LowPriorityParent => 1 - case _ => 2 - } - } - - { - val taskQueue = PriorityQueue(LowPriorityParent, HighPriorityChild)(priorityOrdering) - val schedule = scheduler.schedule(taskQueue, Set(resource)) - assertEquals(Some(80), schedule.map { _.makespan }) - } - { - val taskQueue = PriorityQueue(HighPriorityChild, LowPriorityParent)(priorityOrdering) - val schedule = scheduler.schedule(taskQueue, Set(resource)) - assertEquals(Some(80), schedule.map { _.makespan }) - } - } - - ///////////////////////////////// - - def safireFormatMutex(allResources: Set[Resource])(r: Resource): Set[Resource] = { - def machine(r: Resource): String = { - import scala.util.matching.Regex._ - val pattern = "([a-zA-Z_0-9]+)_mode_([0-9]+)".r - val pattern(machineStr, modeStr) = r.id - machineStr - } - - val byMachine = allResources.groupBy(machine) - byMachine(machine(r)).diff(Set(r)) - } - - def safireFormatMutex2(mutexMap: Map[Resource, Set[Resource]])(r: Resource): Set[Resource] = { - mutexMap(r) - } - - ///////////////////////////////// - - def makeMutexMap(mutexResources: List[Resource]): Map[Resource, Set[Resource]] = - Map() ++ (0 until mutexResources.size).toList.map { i => - mutexResources(i) -> mutexResources.to[Set].diff(Set(mutexResources(i))) - } - - @Test - def testFIFOMultipleResourcesMutex(): Unit = { - - val machine0mode0 = Resource("machine_0_mode_0") - val machine0mode1 = Resource("machine_0_mode_1") - val machine0mode2 = Resource("machine_0_mode_2") - val machine0AllModes = List(machine0mode0, machine0mode1) - - val taskResourceExecutionTimes = Map(machine0mode0 -> 40, machine0mode1 -> 30) - - val task1 = Task.single(TaskId("A"), taskResourceExecutionTimes, releaseTime = 0, makeMutexMap(machine0AllModes)) - val task2 = Task.single(TaskId("B"), taskResourceExecutionTimes, releaseTime = 0, makeMutexMap(machine0AllModes)) - - val scheduler = new FIFOScheduler() - - { - val taskQueue = PriorityQueue(task1, task2)(Ordering.by { (t: Task) => t.releaseTime }) - val schedule = scheduler.schedule(taskQueue, machine0AllModes.toSet) - assertEquals(Some(60), schedule.map { _.makespan }) - } - } -} - -// End /////////////////////////////////////////////////////////////// diff --git a/src/test/scala/uk/ac/york/safire/optimisation/maxplusplant/StoppingConditionHyperHeuristic.scala b/src/test/scala/uk/ac/york/safire/optimisation/maxplusplant/StoppingConditionHyperHeuristic.scala deleted file mode 100644 index 8c10e7f25fa27d1f3d1573456c79d47dd69111dd..0000000000000000000000000000000000000000 --- a/src/test/scala/uk/ac/york/safire/optimisation/maxplusplant/StoppingConditionHyperHeuristic.scala +++ /dev/null @@ -1,301 +0,0 @@ -package uk.ac.york.safire.optimisation.maxplusplant - -//import com.containant._ -//import com.containant.heuristics._ -//import com.containant.casestudies.Framework - -import uk.ac.york.safire.metrics._ -import uk.ac.york.safire.optimisation._ -import uk.ac.york.safire.optimisation.maxplusplant._ - -import org.uma.jmetal.algorithm._ -import org.uma.jmetal.algorithm.impl._ -import org.uma.jmetal.algorithm.multiobjective._ -import org.uma.jmetal.algorithm.multiobjective.mocell._ -import org.uma.jmetal.algorithm.multiobjective.nsgaii._ -import org.uma.jmetal.algorithm.multiobjective.nsgaiii._ -import org.uma.jmetal.algorithm.multiobjective.pesa2._ -import org.uma.jmetal.algorithm.multiobjective.spea2._ -import org.uma.jmetal.algorithm.multiobjective.smsemoa._ -import org.uma.jmetal.operator._ -import org.uma.jmetal.operator.impl.crossover._ -import org.uma.jmetal.operator.impl.mutation._ -import org.uma.jmetal.operator.impl.selection._ -import org.uma.jmetal.problem._ -import org.uma.jmetal.solution._ -import org.uma.jmetal.solution.impl._ -import org.uma.jmetal.util._ -import org.uma.jmetal.util.evaluator._ -import org.uma.jmetal.util.evaluator.impl._ -import uk.ac.york.safire.metrics._ -import scala.collection.JavaConversions._ -import scala.util.Random.javaRandomToRandom -import uk.ac.york.safire.optimisation.JMetalLocalOptimisationEngine -import uk.ac.york.safire.optimisation.ObjectiveFunction - -import jeep.math.ClosedOpenInterval - -import uk.ac.york.safire.optimisation._ - -/////////////////////////////////// - -/** - * ************************************** - * - * object StoppingConditionHyperHeuristic { - * - * JMetalLogger.logger.setLevel(java.util.logging.Level.SEVERE) - * - * ///////////////////////////////// - * - * // EA parameters: - * - * // val InitialPopulationSizeExponent = 8 - * // val InitialPopulationSize = 1 << InitialPopulationSizeExponent - * // val MinEvaluations = 100; val MaxEvaluations = MinEvaluations - * // // Since Urgency and Quality are used to interpolate - * // // between MaxEvaluations and MaxEvaluations, - * // // they are effectively ignored if these are the same - * // val Urgency = 0.5; val Quality = 0.5 - * // - * val ProcessingTimeInMillisecondsCost = 1.0 - * val EnergyCostWeighting = 1.0 - * val MakespanCostWeighting = 1.0 - * - * val MaxFitnessValue = 10000000 - * - * ///////////////////////////////// - * - * val NumBenchmarks = 2 - * - * // ContainAnt parameters: - * val _seed: Int = 0xDEADBEEF - * val RecursionDepth = 5 - * val MaxContainAntEvaluations = 100 - * - * val NumContainAntRuns = 3 - * - * ///////////////////////////////// - * - * object Hmma extends AntHeuristic { - * override val _evaporationRate: Double = 0.4 - * override val _iterations: Int = MaxContainAntEvaluations - * override val _antNumber: Int = 1 - * override val _minimumFraction: Double = 0.10 - * override val _recursionDepth: Int = RecursionDepth - * override val RNG: java.util.Random = new java.util.Random(_seed) - * override def toString: String = "mma" - * } - * - * object Hgre extends GrEvoHeuristic { - * override val _population: Int = 10 - * override val _length: Int = 3 - * override val _maxChoice: Int = 152 - * override val _tournamentSize = 5 - * override val _generations = MaxContainAntEvaluations / _population - * override val _recursionDepth = RecursionDepth - * override val RNG: java.util.Random = new java.util.Random(_seed) - * override def toString: String = "gre" - * } - * - * object Hran extends RandomHeuristic { - * override val _iterations = MaxContainAntEvaluations - * override val _recursionDepth = RecursionDepth - * override val RNG: java.util.Random = new java.util.Random(_seed) - * override def toString: String = "ran" - * } - * - * ///////////////////////////////// - * - * // Problem Description - * - * trait Exp { - * def eval(env: Map[String,Double]): Double - * } - * - * case class Lit(asDouble: Double) extends Exp { - * override def eval(env: Map[String,Double]): Double = asDouble - * } - * - * case class Var(name: String) extends Exp { - * override def eval(env: Map[String,Double]): Double = - * env.getOrElse(name, 0.0) - * } - * - * case class Add(a: Exp, b: Exp) extends Exp { - * override def eval(env: Map[String,Double]): Double = - * a.eval(env) + b.eval(env) - * } - * - * case class Sub(a: Exp, b: Exp) extends Exp { - * override def eval(env: Map[String,Double]): Double = - * a.eval(env) - b.eval(env) - * } - * - * case class Mul(a: Exp, b: Exp) extends Exp { - * override def eval(env: Map[String,Double]): Double = - * a.eval(env) * b.eval(env) - * } - * - * case class PDiv(a: Exp, b: Exp) extends Exp { - * override def eval(env: Map[String,Double]): Double = { - * val denom = b.eval(env) - * if ( denom == 0 ) 1 else a.eval(env) / denom - * } - * } - * - * ///////////////////////////////// - * - * case class StoppingCondition(exp1: Exp, exp2: Exp) { - * - * def apply(f: StoppingConditionFeatures): Boolean = { - * // val env = Map() ++ List( "mean" -> f.mean, "sd" -> f.sd, - * // "min" -> f.min, "numOEInvocations" -> f.numOEInvocations.toDouble ) - * // - * // val v1 = exp1.eval( env ) - * // val v2 = exp2.eval( env ) - * // v1 <= v2 - * ??? - * } - * } - * - * ///////////////////////////////// - * - * object StoppingConditionModule extends Module { // extends IntModule - * - * val const0: Exp = Lit(0.0) - * val const1: Exp = Lit(0.1) - * val const2: Exp = Lit(0.2) - * val const3: Exp = Lit(0.3) - * val const4: Exp = Lit(0.4) - * val const5: Exp = Lit(0.4) - * val const6: Exp = Lit(0.6) - * val const7: Exp = Lit(0.7) - * val const8: Exp = Lit(0.8) - * val const9: Exp = Lit(0.9) - * val const10: Exp = Lit(1.0) - * - * val mean: Exp = Var("mean") - * val sd: Exp = Var("sd") - * val min: Exp = Var("min") - * val numOEInvocations: Exp = Var("numOEInvocations") - * - * def add(a: Exp, b: Exp): Exp = Add(a,b) - * def sub(a: Exp, b: Exp): Exp = Sub(a,b) - * def mul(a: Exp, b: Exp): Exp = Mul(a,b) - * def pdiv(a: Exp, b: Exp): Exp = PDiv(a,b) - * - * /////////////////////////////// - * - * def stoppingCondition(exp1: Exp, exp2: Exp): StoppingCondition = - * StoppingCondition(exp1,exp2) - * } - * - * ///////////////////////////////// - * - * // /********************* - * case class EvaluationBudgetReached() extends Exception - * case class OptimumFound[T](numInvocations: Long, optimumValue: Double, solution: T) extends Exception - * - * class InstrumentedFitnessFunction[T](impl: T => Double) extends (T => Double) { - * - * var numInvocations = 0L - * - * ///////////////////////////////// - * - * override def apply(candidate: T): Double = { - * - * val result = impl.apply(candidate) - * numInvocations += 1 - * - * // if (result == optimumValue) { - * // //jeep.lang.Diag.println( s"optimum ($optimumValue) found: $result" ) - * // throw OptimumFound(numInvocations, optimumValue, candidate) - * // } - * - * jeep.lang.Diag.println( numInvocations ) - * if (numInvocations > MaxContainAntEvaluations) { - * //jeep.lang.Diag.println( "budget reached" ) - * throw EvaluationBudgetReached() - * } - * //jeep.lang.Diag.println( "returning " + result ) - * result - * } - * } - * // *********************/ - * - * ///////////////////////////////// - * - * def fitness(benchmarks: List[MockObjectiveFunction])(condition: StoppingCondition): Double = { - * - * val Seed = 0xDEADBEEF - * - * val stoppingCondition = new java.util.function.Predicate[ StoppingConditionFeatures ] { - * override def test(f: StoppingConditionFeatures): Boolean = { - * ??? // f.numOEInvocations > StoppingConditionExperimentsMain.maxOEInvocations || condition( f ) - * } - * } - * - * val stoppingConditionResults = StoppingConditionExperimentsMain.run(benchmarks, stoppingCondition, Seed) - * val minimizingFitness = stoppingConditionResults.map { sc => - * sc.flatCost + ( sc.elapsed * ProcessingTimeInMillisecondsCost ) }.sum - * - * // jeep.lang.Diag.println( s"raw fitness: $minimizingFitness" ) - * - * if( minimizingFitness > MaxFitnessValue ) throw new IllegalStateException(s"Expected max fitness value of ${MaxFitnessValue}, found $minimizingFitness") - * MaxFitnessValue - minimizingFitness - * } - * - * ///////////////////////////////// - * - * def main(args: Array[String]): Unit = { - * - * val benchmarks = ScaledPlantGenerator.generateBenchmarkInstances( - * EnergyCostWeighting,MakespanCostWeighting, NumBenchmarks) - * - * val startTime = System.currentTimeMillis() - * - * jeep.lang.Diag.println( "Running comparison..." ) - * val comparison = - * Framework.experimentN[StoppingCondition](Seq(Hmma - * , Hran - * // , Hgre - * ), - * NumContainAntRuns, StoppingConditionModule, - * fitness(benchmarks.toList) _ ) - * - * val endTime = System.currentTimeMillis() - * - * /////////////////////////////// - * - * import com.containant.casestudies._ - * import com.containant.casestudies.Framework._ - * - * def summarize[T](heuristic: Heuristic, results: Seq[RunResult[T]]): DescriptiveSummary = { - * val minimizing = results.map(MaxFitnessValue - _.fitness).toArray - * DescriptiveSummary( - * heuristic.toString, - * org.apache.commons.math3.stat.StatUtils.min( minimizing ), - * org.apache.commons.math3.stat.StatUtils.mean( minimizing ), - * org.apache.commons.math3.stat.StatUtils.max( minimizing ), - * org.apache.commons.math3.stat.StatUtils.variance( minimizing ) - * ) - * } - * - * def summaries[T](r: ExperimentResult[T]): Seq[DescriptiveSummary] = - * (r.heuristics, r.results).zipped map { (x,y) => summarize(x,y) } - * - * println("heuristic,min,mean,max,var") - * println(summaries(comparison) ) - * // println(reference.summaries(0)) - * // println("pvalues: " + comparison.pvalues) - * // println(if (comparison.pvalues.max < 0.05) "significant" else "not significant") - * // println() - * - * println( s"elapsed: ${(endTime-startTime)/1000.0}" ) - * } - * } - * ************************************** - */ - -// End /////////////////////////////////////////////////////////////// diff --git a/src/test/scala/uk/ac/york/safire/optimisation/mitm/atb/TestKafkaConsumer.java b/src/test/scala/uk/ac/york/safire/optimisation/mitm/atb/TestKafkaConsumer.java deleted file mode 100644 index f35f41f50a406703ff01f5a265b19c56dfeb5828..0000000000000000000000000000000000000000 --- a/src/test/scala/uk/ac/york/safire/optimisation/mitm/atb/TestKafkaConsumer.java +++ /dev/null @@ -1,52 +0,0 @@ -package uk.ac.york.safire.optimisation.mitm.atb; - -import java.util.Collections; -import java.util.Properties; - -import org.apache.kafka.clients.consumer.ConsumerConfig; -import org.apache.kafka.clients.consumer.ConsumerRecord; -import org.apache.kafka.clients.consumer.ConsumerRecords; -import org.apache.kafka.clients.consumer.KafkaConsumer; -import org.apache.kafka.common.serialization.StringDeserializer; - -/////////////////////////////////// - -public final class TestKafkaConsumer { - - private void run(KafkaConsumer<String, String> consumer) { - while ( true ) { - final ConsumerRecords<String, String> records = consumer.poll(1000); - for( ConsumerRecord<String, String> record : records ) { - - System.out.printf("Received Message topic =%s, partition =%s, offset = %d, key = %s, value = %s\n", record.topic(), record.partition(), record.offset(), record.key(), record.value()); - consumer.commitSync(); - } - } - } - - /////////////////////////////// - - public static void main(String [] args) { - Properties consumerConfig = new Properties(); - // consumerConfig.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:2181"); - - // consumerConfig.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092"); - consumerConfig.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "dockerbuntu.atb-bremen.de:2376"); - - consumerConfig.put(ConsumerConfig.GROUP_ID_CONFIG, "my-group"); - consumerConfig.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest"); - consumerConfig.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName() ); - consumerConfig.put( ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName() ); - - // System.out.println( "constructing consumer..." ); - final KafkaConsumer<String, String> consumer = new KafkaConsumer<>(consumerConfig); - // System.out.println( "constructed consumer..." ); - System.out.println( "querying topics..." ); - System.out.println( "topics: " + consumer.listTopics() ); - consumer.subscribe(Collections.singletonList("ResourceAvailability") ); - - consumer.close(); - } -} - -// End ///////////////////////////////////////////////////////////////