欢迎来到天天文库
浏览记录
ID:32137125
大小:2.30 MB
页数:79页
时间:2019-01-31
《粒子群算法及其在结构优化设计中的应用》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、山东建筑大学硕士学位论文proceedingsofthealgorithm.Ithasanalyzedthealgorithmformulaandparameterselectionandcomparedwithotheralgorithms,proposedapplicationprincipleofPSOdiscussedthesuccessfulapplicationofthealgorithminsomefields.(2)AmodifiedPSOispresentedinthispaper,
2、inwhichathirdextremeisinsertedtotheiterationformulatoguidethesearchdirectionofindividualsanda“flyback'’strategyisintroduced.Simulationresultsonseveralfamousbenchmarkfunctionsdemonstratethatthemethodcanobtaingoodsolutionswithhigherqualityinshortercalcula
3、tiontime,thatis,thesearchefficiencyofPSOisimproved.(3)TheprinciplesofdiscretevariableofPSOisdiscussed,themathematicalmodelisestablishe正andatypicaldiscretevariableproblem-TSPproblemissolvedbycomingdowntohumericalvaluecount.(4)Asforconstrainedoptimization
4、problems,ithasproposednewrulesforthecompetitionandselectionthroughtheintroductionoftheconceptsofsemi-feasibleregion.Ithasimprovedfitnessfunctionbasedoncompetitionandselection.Thethesishasregulatedthequalityofsemi-feasiblesolution:Semi—feasiblesolutionis
5、superiorthaninfeasiblesolution,butitisinferiorthanfeasiblesolution.Theindividualmaybeevaluatedimmediatelythroughobjectivefimctioninsemi-feasiblereglou.CombiningthecharactersofPS0.thispaperhasdesignedtheselectionofoperatingsemi·feasibleregion.Thus,ithasp
6、roposedanewevolutionaryalgorithmthroughPSOtosolveconstrainedoptimizationproblems.(5)Thispaperinvolvesfinite—elementanalysisinthisalgorithm.AstructureoptimalprogramiswritteninFortranandappliedtheprogramtobeam、trussesandframesstructure.TheresultsofthePSOa
7、lecomparedwiththatofthegeneticalgorithm,itisshownthatitisfeasibleandeffectivetoappliedthisoptimalprogramtothecivilengineeringstructuraloptimaldesign,thePSOhasahJighersearchingeffectiveness,anditisanefficientoptimalmethod,itsresultsofoptimumdesignsuperio
8、rtothoseofthesimplegeneticalgorithm.KeyWords:ParticleSwarmOptimization(PSO),EvolutionaryComputation,Discretevariable,Constrainthandling,Structuraloptimaldesign原创性声明本人郑重声明:所提交的学位论炙是本人在导师的指导下,独立进行研究取得的成果。除文中已经注明引用的内容外,论文中不舍其他人已经发表或
此文档下载收益归作者所有