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1、重庆大学硕士学位论文改进的粒子群优化算法及应用研究姓名：张必兰申请学位级别：硕士专业：电工理论与新技术指导教师：俞集辉20070528重庆大学高校教师硕士学位论文英文摘要ABSTRACTParticleswarmoptimizationisapopulation-based,self-adaptivesearchoptimizationtechnique．Asakindof刚啪intelligence，PSO，simpleinprinciples，fewinparameters,fastinconvergencerateandSOon,
2、hasproventobeapowerfulglobaloptimizationmethodandshowgreatpotentialinpractice．ButneitherthetheoreticalanalysisnorapplicationisnotcompletelynlatIl舷l钮vmgmanyquestionst0beresearched．Today,improvementsofPSO自eql】e妇tlyadoptmixedalgorithmsOikeq蚯mizcdcombinationof誉触algorithr璐and
3、PSO),whichimprove,theperformanceofthealgorithnl，yetmakesthealgorithmmolecomplex．The础ore．thechoiceofPsOalgorithmbasedOnoptimizationofoperationaldmracteristicsfromitsownanalysis,whichimprovestheoverallpcd．0Imar娣ofthealgorithmtofindasinglePSOalgorithm,ism∞IlingfIll．Basedont
4、hefimdamemalissueofPSOandPSObehavioranalysis,anewalgorithmisproposedinthecollrseof01Ⅺ戚∞埘ld茁thevariancewiththeidealsoftheparticlestodeterminethebestdylmmicchangeinertiaweight,theParticleSwarmOptiiiliz碰onalgorithmellhalae,etheabilitytojumpoutofalocaloptimalsolution．ItcanLf
5、ffoctivdypreventprematureconvergence,makingalgorithmeasierandeasytomake．Inaddition,thestudyofPSOalgorithmapplicationisallimpoftamresearchfield．nlispaperwillintrodutxthePSOalgorithm’sapplicationinthedesignoftheUniversityLibrarydecisionsupportsystem．Bookpurchasequalityaffe
6、ctsthequalityofLibrarycollectionconstructiondirectlyandlargelydeterminestheOvc删Us口viceLevelofuniversitylibraries．Inrecentyears,Libraryprocurementsubjectiveblindnesshascausedthewasteofreso嘲．Inviewofthissituation,thecombinationofartificialintelligencetechnology,Booktheoret
7、icalknowledgeofcomputertechnologyanddecisionsupportsystemtosl单p矾theestablishmentofthehlxarypolicyisveryn∞龋哪Bookpurdmes,inordertomakelimitedfundstomeettheneedsofreaders,BuddingqualitybookspurchaseD∞isionSupportSystem，isvitalindesi豳highqIm晦托ade绉demandandflow剃ysisalgorithmu
8、tilitymodel．Onthegroundofreaderdemandsanddemaadanalysismodelbased011theclassification,implicitdemandmod
