改進的粒子群優(yōu)化算法及應(yīng)用研究

改進的粒子群優(yōu)化算法及應(yīng)用研究

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時間:2019-05-11

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1、重慶大學(xué)碩士學(xué)位論文改進的粒子群優(yōu)化算法及應(yīng)用研究姓名:張必蘭申請學(xué)位級別:碩士專業(yè):電工理論與新技術(shù)指導(dǎo)教師:俞集輝20070528重慶大學(xué)高校教師碩士學(xué)位論文英文摘要ABSTRACTParticleswarmoptimizationisapopulation-based,self-adaptivesearchoptimizationtechnique.Asakindof剛啪intelligence,PSO,simpleinprinciples,fewinparameters,fastinconvergencerateandSOon,

2、hasproventobeapowerfulglobaloptimizationmethodandshowgreatpotentialinpractice.ButneitherthetheoreticalanalysisnorapplicationisnotcompletelynlatIl舷l鈕vmgmanyquestionst0beresearched.Today,improvementsofPSO自eql】e婦tlyadoptmixedalgorithmsOikeq蚯mizcdcombinationof譽觸algorithr璐and

3、PSO),whichimprove,theperformanceofthealgorithnl,yetmakesthealgorithmmolecomplex.The礎(chǔ)ore.thechoiceofPsOalgorithmbasedOnoptimizationofoperationaldmracteristicsfromitsownanalysis,whichimprovestheoverallpcd.0Imar娣ofthealgorithmtofindasinglePSOalgorithm,ism∞IlingfIll.Basedont

4、hefimdamemalissueofPSOandPSObehavioranalysis,anewalgorithmisproposedinthecollrseof01Ⅺ戚∞塒ld茁thevariancewiththeidealsoftheparticlestodeterminethebestdylmmicchangeinertiaweight,theParticleSwarmOptiiiliz碰onalgorithmellhalae,etheabilitytojumpoutofalocaloptimalsolution.ItcanLf

5、ffoctivdypreventprematureconvergence,makingalgorithmeasierandeasytomake.Inaddition,thestudyofPSOalgorithmapplicationisallimpoftamresearchfield.nlispaperwillintrodutxthePSOalgorithm’sapplicationinthedesignoftheUniversityLibrarydecisionsupportsystem.Bookpurchasequalityaffe

6、ctsthequalityofLibrarycollectionconstructiondirectlyandlargelydeterminestheOvc刪Us口viceLevelofuniversitylibraries.Inrecentyears,Libraryprocurementsubjectiveblindnesshascausedthewasteofreso嘲.Inviewofthissituation,thecombinationofartificialintelligencetechnology,Booktheoret

7、icalknowledgeofcomputertechnologyanddecisionsupportsystemtosl單p礬theestablishmentofthehlxarypolicyisveryn∞齲哪Bookpurdmes,inordertomakelimitedfundstomeettheneedsofreaders,BuddingqualitybookspurchaseD∞isionSupportSystem,isvitalindesi豳highqIm晦托ade縐demandandflow剃ysisalgorithmu

8、tilitymodel.Onthegroundofreaderdemandsanddemaadanalysismodelbased011theclassification,implicitdemandmod

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