基于粒子群优化与差分进化混合算法的多目标优化与应用

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1、英文摘要Subject：Multi-objectiveHybridOptimizationAlgorithmandApplicationsbasedonPSOandDESpeciality：ComputertechnologyName：LiYanhai(signature)Instructor：ChengGuojian(signature)ABSTRACTManydecisionsinourreal-lifecanberegardedasmulti-objectiveoptimizationproblems,sothestudyoftheoriesandmethodsaboutmult

2、i-objectiveoptimizationhasaverybroadscopeofapplication.Giventhelimitationsofthetraditionalsolutionandtheadvantagesofevolutionaryalgorithmsolvingmulti-objectiveoptimizationproblems,ithasbecomeahotresearchfieldtostudythemulti-objectiveevolutionaryoptimizationalgorithm.Particleswarmoptimizationandd

3、ifferentialevolutionalgorithmsareefficientstochasticoptimizationalgorithms.Aftercombiningthem,accordingtoacertainhybridstrategy,thenitwillgetgoodresultsforsolvingoptimizationproblems.Themainworkofthepaperisasfollows:Initially,thepaperoutlinestherelatedconceptionofissuesaboutmulti-objectiveoptimi

4、zation,sumsupthetraditionalandcommonsolutionofmulti-objectiveandanalysesoftheirlimitations.Thenitintroducesthedevelopmentprocessandthelateststateofresearchaboutmulti-objectiveevolutionaryalgorithmandclassifiesmulti-objectiveevolutionaryalgorithmclassificationwithintroducingindetailthethreetypica

5、lmulti-objectiveevolutionaryalgorithm:PAES,SPEA,NSGAII.Finally,itsummarizestheadvantagesofmulti-objectiveoptimizationalgorithmforsolvingtheproblemofevolution.BeingbasedonParticleswarmoptimizationanddifferentialevolutionalgorithm,thepaperproposesthemixingofthetwoalgorithmsbyintroducinganadaptivea

6、lgorithmtodeterminemixingofthetwofactors.Theindividualineachcircularprocesscanusedifferentialevolutionparticleswarmalgorithmorthelawsofprobabilitytobeupdatebyusingadaptivejudgmentfactors.Theprocessofparticleswarmoptimizationusesanewvelocityupdatemethod,andtheprocessofdifferentialevolutionalsoado

7、ptsimprovedmutationoperation.ThepaperdefinestheindividualintensityvaluesofParetoandimprovesthecrowdingdistanceanddefinitionoftheindividualinordertosortandselectofthepopulation.Finally,itusesfourtestfunctionstotesttheperforma