遺傳算法在物流配送車(chē)輛優(yōu)化調(diào)度中的研究及應(yīng)用

遺傳算法在物流配送車(chē)輛優(yōu)化調(diào)度中的研究及應(yīng)用

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時(shí)間:2019-05-11

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1、上海海事大學(xué)碩士學(xué)位論文遺傳算法在物流配送車(chē)輛優(yōu)化調(diào)度中的研究及應(yīng)用姓名:安立軍申請(qǐng)學(xué)位級(jí)別:碩士專(zhuān)業(yè):電力電子與電力傳動(dòng)指導(dǎo)教師:俞宏生20070601上海海事大學(xué)碩士研究生學(xué)位論文Wmthedevelopmentofmarketeconomyandlogistbtechnology,logisticsbusinessdevelopedrapidMInlogisticsbusiness,thevehicleschedulingproblemaffectsmosUy011raisingservicequality,reducinglogi

2、sticscostandincreasingeconomicbenefitsoflogisticsenterprises,whichistheessentialthingintheoptimiza石onofiogisticesystemandessentialcontentinelectroniccommerce.ThatistosaythesystemresearchoflogisticsdistributionvehicleoptimalschedulingisthedevelopmentofIocjisticsintensified

3、,constmctionofthesynthesislogisticssystem。theestablishmentofmodemschedulingconh'olsystem,thedevelopmentofintelligencetransportationsystem'sfoundation.Indallylifeandproduction,manyproblemssuchasmalldeliveryproblems,busschedulingproblems,electricitydispatchingproblems,pipel

4、inelayingproblemsandcomputernetworkdesigningproblemscanallbeseenaslogiStissdistributionvehicleschedulingproblems.Takinglogisticsdistributionvehicleschedulingproblemas如studyingobject,thispaperhasboththeoreticalandpracticalvalue.111elogisticsdistributionvehicleschedulingpro

5、blemisarestraintcombinationoptimizaaonquestionbelongstotheNPproblem(NondeterministicPolynomialProblem).AIongwiththequestioninputscaleexpansion,thesolutiontimeassumesthegeometricseriesrise.Inthisarticle。Idiscusswnhthegeneticalgorithmoftheintelligencealgorithmtosolvestheveh

6、iclesschedulingproblem.Firstly.thisarticleanalyzestheoutlineoftheIogiStiSSdistributionvehicleschedulingoptimizationquestion。aswellasthefoundationofthisquestionproposed。whichhascarriedOnthedescription。themathematicalmodeIanalysisaswellasthecoRespondingsolutionalgorithmanal

7、ysistothequestioncommonlyusedtwousedtwokindsofVSP.theninthefoundationofdetailedintroductionofgeneticalgorithm,usingMATLAB7.0simulationsoftwaretohaveinheritedthesimulationofthegeneticalgorithmandthecomparativeanalysis,confirmedthefeasibilityofthegeneticalgorithmtosolvetheq

8、uestionofthedistributionwayoptimization,inthefourthchapter,Ianalyzedthetravelsalesproblemofthege

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