粒子群算法(優(yōu)化算法)畢業(yè)設(shè)計(jì)畢設(shè)論文(包括源代碼實(shí)驗(yàn)數(shù)據(jù),截圖,很全面的)

1、2010屆信息與計(jì)算科學(xué)專(zhuān)業(yè)畢業(yè)設(shè)計(jì)I畢業(yè)論文題目粒子群算法及其參數(shù)設(shè)置粒子群算法及其參數(shù)設(shè)置專(zhuān)業(yè)信息與計(jì)算科學(xué)信息與計(jì)算科學(xué)班級(jí)計(jì)算計(jì)算061學(xué)號(hào)3060811007學(xué)生xx指導(dǎo)教師指導(dǎo)教師徐小平徐小平2010年2010屆信息與計(jì)算科學(xué)專(zhuān)業(yè)畢業(yè)設(shè)計(jì)IIIParticleswarmoptimizationalgithmitsparametersetSpeciality:InfmationComputingScienceStudent:R

2、enKanAdvis:XuXiaopingAbstractParticleswarmoptimizationisanemergingglobalbasedonswarmintelligenceheuristicsearchalgithmparticleswarmoptimizationalgithmcompetitioncollabationbetweenparticlestoachieveincomplexsearchspacetof

3、indtheglobaloptimum.Ithaseasytoundersteasytoachievetheacteristicsofstrongglobalsearchabilityhasneverwidefieldofscienceengineeringconcernhasbecomethefastestgrowingoneoftheintelligentoptimizationalgithms.Thispaperintroduce

4、stheparticleswarmoptimizationbasicprinciplesanalyzesitsfeatures.Paperaroundtheparticleswarmoptimizationprinciplesacteristicsparameterssettingsapplicationstoconductathoughreviewfocusingonasinglefactanalysisofvarianceanaly

5、sisoftheparticleswarmoptimizationalgithmintheinertiaweightaccelerationfactsettingthebasicpropertiesofthealgithmtheimpactoftheexperienceofthealgithmgivenparametersetting.Finallyitsfutureresearchedprospectsareproposed.KeyK