预览加载中，请您耐心等待几秒...

基于邻域驱动的粒子群算法.docx

预览
1/2
2/2

在线预览结束，喜欢就下载吧，查找使用更方便

下载提示 文本预览

如果您无法下载资料，请参考说明：

1、部分资料下载需要金币，请确保您的账户上有足够的金币

2、已购买过的文档，再次下载不重复扣费

3、资料包下载后请先用软件解压，在使用对应软件打开

基于邻域驱动的粒子群算法 Title:Neighborhood-basedDrivenParticleSwarmOptimization Abstract: ParticleSwarmOptimization(PSO)isapopularandeffectiveoptimizationalgorithminspiredbysocialbehaviorofflockingbirdsandfish.However,thetraditionalPSOalgorithmlackslocalsearchcapability,limitingitsperformanceinsolvingcomplexoptimizationproblems.Toaddressthisissue,theNeighborhood-basedDrivenParticleSwarmOptimization(NDPSO)algorithmhasbeenproposed.ThispaperpresentsanoverviewoftheNDPSOalgorithmanddiscussesitsbenefitsandapplicationsinsolvingoptimizationproblems. 1.Introduction Inrecentyears,optimizationproblemshavegainedsignificantattentionacrossvariousdomains,includingengineering,finance,andmachinelearning.ParticleSwarmOptimization(PSO)emergedasapowerfulmetaheuristicalgorithmforsolvingoptimizationproblems.PSOmimicsthesocialbehaviorofbirdsorfishflockingbyiterativelyupdatingeachparticle'spositionandvelocitywithinasearchspace.However,theoriginalPSOalgorithmtendstoconvergetoasuboptimalsolutionduetoitsinsufficientlocalsearchcapability. 2.TraditionalPSOAlgorithm ThetraditionalPSOalgorithmmaintainsaglobalbestknownpositionfortheentireswarmandupdateseachparticle'svelocityandpositionbasedontheglobalbestandindividualbestpositions.Thisglobalinformationsharingmechanismallowsparticlestoexplorethesearchspaceeffectively.However,itoftenresultsinprematureconvergenceandstagnation. 3.Neighborhood-basedDrivenPSO TheNeighborhood-basedDrivenPSOalgorithmintroducesaconceptofneighborhoodintheswarm,whereeachparticleisinfluencedbyitsneighboringparticles.Thismechanismallowstheparticlestoperformlocalsearcheffectively,enhancingthealgorithm'sexplorationandexploitationabilities.Inthisalgorithm,theswarmisdividedintomultiplesubgroupsorneighborhoods,andeachparticleupdatesitsvelocityandpositionbasedonthelocalbestpositionwithinitsneighborhood. 4.NeighborhoodTopologies TherearedifferentneighborhoodtopologiesusedintheNDPSOalgorithm,includingring,random,andstartopologies.Eachtopologyhasitsadvantagesanddisadvantagesintermsofbalancingexpl