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页数:16页
时间:2019-02-24
《多子种群微粒群免疫算法及其在函数优化中应用》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、计算机研究与发展ISSN1000—1239/CN11-1777/TPJournalofComputerResearchandDevelopment49(9):1883—1898,2012多子种群微粒群免疫算法及其在函数优化中应用吴建辉2章兢李仁发刘朝华(湖南大学电气与信息工程学院长沙410082)z(湖南大学信息科学与工程学院长沙410082)(wujianhui123@tom.com)AMulti—SubpopulationPSOImmuneAlgorithmandItsApplicationonFunctionOptimizationWuJianhui~,ZhangJing,LiRenfa
2、。,andLiuZhaohua(CollegeofElectricalandInformationEngineering,HunanUniversity,Changsha410082)(CollegeofInformationScienceandEngineering,HunanUniversity,Changsha410082)AbstractBasicparticleswarmoptimization(PSO)algorithm,whichisaglobalandparalleloptimizationofhighperformance,simplicity,robustness,nopr
3、oblemspecificinformation,etc.,hasbeenwidelyusedincomputerscience,optimizationofscheduling,functionoptimizationandotherfields.However,thebasicPSOalgorithmhasthedefectsofprematureconvergence,stagnationphenomenonandslowconvergencespeedinthelaterevolutionperiodforcomplexoptimizationproblems.Inordertoove
4、rcometheprematureconvergenceproblemofbasicPSOalgorithm,usingideaofmulti—subpopulationandself-adaptiveforreference,anovelmulti—subpopulationadaptivepolymorphiccrossbreedingparticleswarmoptimizationimmunealgorithm(MAPCPSOI)basedontwo—layermodelisproposed.Throughthebottomlayeradaptivepolymorphiccrossbr
5、eedingPSOoperationofseveralsubpopulations,theMAPCPSOIalgorithm,firstly,couldamelioratediversityofsubpopulationdistributionandeffectivelysuppressprematureandstagnationbehavioroftheconvergenceprocess.Secondly,theMAPCPSOIalgorithm,bythetoplayerimmuneclonalselectionoperationofseveralsubpopulations,could
6、significantlyimprovetheglobaloptimizationperformanceandfurtherenhancetheconvergenceprecision.ComparedwithotherimprovedPSOalgorithms,simulatedresultsoffunctionoptimizationshowthattheMAPCPSOIalgorithm,especiallysuitableforsolvinghigh—dimensionandmultimodaloptimizationproblems,hasrapiderconvergencespee
7、dandhighersolutionprecision.Keywordsparticleswarmoptimizationadaptive;polymorphicdiversityclonalselection;functionoptimization摘要为克服基本微粒群算法的早熟问题,借鉴多子种群和自适应的思想,提出了基于两层模型的多子种群自适应多态杂交微粒群免疫算法.该算法首先通过对若干个子种
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