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ID:31983268
大小:5.11 MB
页数:63页
时间:2019-01-30
《基于遗传思想改进的粒子群优化算法与应用-研究》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、哈尔滨理工大学工学硕士学位论文ImprovedArticleSwarmOptimizationAlgorithmBasedonGeneticThinkingandAppliedResearchAbstractParticleswarmoptimization(PSO)isswarmintelligenceevolutionarycomputationmethodswiththeglobalstrategyandinspirednature,thebasicideaderivedfrombiologicalsimulatio
2、nfromtheforagingactivitiesonbirdpopulations,proposedjointlybytheAmericanpsychologistKennedyandelectricalengineerEbethartin1995,isanemergingbasedonswarmintelligencetheoryofcomputingtechnology.Thealgorithmmainlythroughcompetitionandcooperationmechanismsoptimizationg
3、uidanceinthepopulationofparticlesinthesearchingprocess,andhasgoodversatilityandglobal.PSOalgorithmhasbecomeatypicalrepresentativeoftheswarmintelligence,andbecauseofitsefficientglobaloptimizationresultwasawiderangeofapplications.Applicabletoavarietyofcomplexoptimiz
4、ationproblemsandcombinatorialoptimizationproblems,themethodissimpleandeasytooperate,toachievefastoptimizationconvergence,hasbeenanimportantbranchofresearchinartificialintelligenceexpertsandscholarsoverthepastdecade.FindthewaystOimproveforeasytoprematureconvergence
5、,thesearchaccuracyisnothi曲intheiterationofthelateefficiency,easytofallintolocalminimaadvantagesofethealgorithmdefects,andappliedmoreexpansionareas,hasveryimportantoreticalvalueandpracticalsignificance.Thispaperproposedimprovementprogramandapplicationexperimentsbas
6、edontheanalyzesaboutthebasicprinciplesanddevelopmentofthePSOalgorithm.Researchworkandinnovationscanbesurnmarizedasfollows:First,proposedanimprovedparticleswarmoptimizationalgorithm(GAPSO).Intheresearch,analyzedthecharacteristicsandprinciplesofswarmintelligencealgo
7、rithmandcompareparticleswarmoptimizationalgorithmwithotheralgorithms,theobtainedalgorithmintegrationismorefeasiblewaystoimproveit。IntermsofthenatureandcharacteristiesofGeneticalgorithmandparticleswarmoptimizationalgorithmcanproduceagoodmatch,theoperatorof,.III...r
8、哈尔滨理工大学工学硕士学位论文thegeneticoperationisintroducedintotheiterativeprocessofthePSOalgorithmwiththeappropriateselection,crossoverandmutationoperators,andtaket
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