基于动态子群策略的改进pso算法与其应用-研究

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1、西安理工大学硕士学位论文andshowsitssuperiorityinsolvingpracticalproblems.Onthebasisofintroducingthepowerfulteachingandlearningglobalsearchoperator,westudyanddesignanimprovedparticleswarmoptimizationalgorithmwithanewsubgroupsplittingmethodanddynamicsubgroupstrategy.Wea

2、doptarandomgroupingstrategyinthenewsubgroupsplittingmethod.WenamethenewalgorithmasDynamicSubgroupStrategyParticleSwarmOptimizationalgorithm(DSSPSO).Toexaminetheeffectivenessoftheproposedalgorithm,itistestedon10benchmarkfunctions.Experimentalresultsshowthat

3、DSSPSOisaneffectivemethodtooptimizecomplexfunctions,andperformssignificantlybetterthantheoriginalPSOalgorithmandotherimprovedPSOalgorithmi.e.PSO-wFIPSandUPSO.(1)Inmanypracticaloptimizationproblems,therearesomeconstraintconditions.Swarmintelligencealgorithm

4、shavebeensuccessfullyappliedforconstrainedoptimizationproblems.However,thedifferencebetweeneachconstraintproblemsdifferinthousandsofways,andweusethepenaltyfunctionmethodtosolvetheconstrainedoptimizationproblemisverydifficulttosettheparametersoftheappropria

5、tefactors.Henceweintroduceanewmechanismtoimprovetheparametersconfiguretermeddynamicpenaltymechanismwhichisconducivetosearchforthemobilefeasiblesolutionregiontoacceleratetheprocessofevolution.Basedonthenewproposedmechanismofdynamicpenalty,weapplytheimproved

6、DSSPSOalgorithmtosolvecrudeoilblendingproblemwithmulti-constraintconditions.ThenwegivethemainflowofcrudeoilblendingoptimizationproblemusingdynamicpenaltymechanismandDSSPSO.Finally,weusetwotestdatatotestifythevalidityofthemethod,andthetestresultsshowtheeffe

7、ctivenessofthedynamicpenaltymechanismandDSSPSOalgorithm.Keywords:DSSPSO;DynamicSubgroupStrategy;ConstrainOptimization;DynamicPenaltyii万方数据目录目录1绪论...............................................................................................................

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