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Mε - OIDEalgorithmforsolvingconstrainedoptimizationproblemsandits
applicationinfloodcontroloperationofreservoirgroup
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WANGWenchuan,TIANWeican,XULei,LIUChangjun,XUDongmei
(1.CollegeofWaterResources,NorthChinaUniversityofWaterResourcesandElectricPower,Zhengzhou 450046,China;
2.CollegeofHydrologyandWaterResources,HohaiUniversity,Nanjing 210024,China;
3.ResearchCenteronFloodandDroughtDisasterReduction,ChinaInstituteofWaterResourcesandHydropowerResearch,
Beijing 100038,China)
Abstract:Constrainthandlingmethodsandarepresentativeinitialpopulationhaveasignificantimpactontheper
formanceofconstrainedoptimizationalgorithms.Aimingattheproblemsofthe εconstrainthandlingmethodinsol
vingconstrainedoptimizationproblemssuchasunstablecapabilityanddifficultiesinselectingempiricalparameter
values ,thispaperstartsfromthecurrenttwodifferent εconstraintprocessingmethods,throughtheanalysisoftheir
advantagesanddisadvantages ,theZ - εconstraintprocessingmethodadditionallyperforms δ relaxedoperationsone
qualityconstraintsaresupplementedtotheoverallframeworkoftheTS - εprocessingmethod,andaddsauser - de
finedparametertodealwithvariousconstraintconditions ,soastoproposeamodifiedεconstrainthandlingmethod.
Basedontheprimarydifferentialevolutionalgorithm ,alightweightconstrainedoptimizationalgorithm namedM ε -
OIDEwasproposedbycouplingitwiththeaforementionedmodified εconstrainthandlingmethodandclassicaloppo
sition - basedlearningpopulationinitializationstrategy.ThetestresultsontheCEC2006benchmarkfunctionsetverify
theeffectivenessofthecouplingstrategy,indicatingthattheproposedM ε - OIDEalgorithm hashighaccuracyand
strongrobustness.Inaddition ,theoptimizationofreservoirgroupfloodcontroloperationfurtherprovethattheM ε -
OIDEalgorithmisfeasibleandefficientindealingwithpracticalconstrainedoptimizationproblems.
Keywords:constrainedoptimization;εconstrainthandlingmethod;differentialevolutionalgorithm;opposition -
basedlearning;reservoirgroup;optimaloperationoffloodcontrol
(责任编辑:耿庆斋)
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