改进的pso算法与其电机优化中的应用

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1、＼中山大学硕士毕业论改进的PSO算法及其在电机优化中的应用TitIe：TheModifiedPSOAlgorithmandItsApplicationinMotoroptimizat．ionNajor：ComputerSoftwareandTheoryName：LiuZhiyangSuprevisor：ProfessorChengLiangyuAbstractInthe21stcentury，optimizationtheoryandrelatedalgorithmshaveincreasinglycomeintogreat

2、lydevelopment．Althoughthetraditionalmethodsofoptimizationhavetheadvantagesofmaturetheoryandwideapplication，theycan’teffectivelysolvetheoptimizationproblemsduetocontinuousenhancementoftheoptimizationrequirementsanddevelopmentofmodernscienceandtechnology．Meanwhile，as

3、onekindswarmintelligencealgorithmandwithsimpleandeffectivefeatures，Particleswarmoptimization(PSO)algorithmwasintroducedinthefieldofoptimization，whichcanprovideabroadresearchspace．Thusitcauseswideattention．Basedonreadinglargenumberofdomesticandforeignliterature，this

4、dissertationfirstlycomprehensivelyanalysesthecurrentresearchsituationandmeaningofPSOalgorithmandmotoroptimization．Secondly，itdiscussestheirrelevanttheoreticalknowledge，whichcanlaythefoundationforthealgorithm’Simprovementanditsapplicationinspecificmotoroptimizationp

5、roject．Thirdly，combinedwithmulti—objectiveoptimizationalgorithm，theimprovedmulti—objectivePSOalgorithmisputforward．AsimulationexperimentiScarriedouttoimplementtheimprovedalgorithm’SprocessbyMatlabandexperimentalresultsverifythatitisbetterthansomeofthesimilaralgorit

6、hm．ⅡFourthly，combinedwithcomplexalgorithm，thehybridcomplexPSOalgorithmisputforward．Asimulationexperimentiscarriedouttoimplementthehybridalgorithm’SprocessbyMatlabandexperimentalresultsverifythatithasstronggobalsearchability．Finally，withamotoroptimizationprojectbase

7、donMicrosoft．NETplatform，thehybridalgorithmisusedinspecificmotoroptimizationprocedure．Thefinaldatashowsthat：inthesameconditionandcomparedwiththeoriginalproject，motor’ScostperformanceisbetterimprovedbytheuseofthehybridalgorithmoptimizationofthiSdissertation．中山大学硕士毕业

8、论改进的PSO算法及其在电机优化中的应用摘要ABSTRACT目录目录第1章绪论⋯⋯．ⅡⅣ11．1引言⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．11．2国内外研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．31．3论文的主要内容⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯