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ID:33485121
大小:828.29 KB
页数:53页
时间:2019-02-26
《基于遗传算法的资源约束项目调度问题优化与应用的研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、了改善遗传算法的局部搜索能力,设计了一种基于邻域搜索的变异操作。实验部分对标准数据库中的基准问题J18,J20进行了测试,验证了算法的有效性。(3).理论和算法最终都是要为实际服务的,要为现代项目中的项目管理问题提供实际解决方案。为验证本文所提出的混合遗传算法能否应用于具体实际,针对MRCPSP问题进行案例研究,结果表明该智能算法不仅丰富了多执行模式RCPSP的求解方法,而且拓宽了遗传算法的应用领域。关键词:项目调度,资源约束,遗传算法,优化IIABSTRACTResource-ConstrainedProject
2、SchedulingProblem(RCPSP)isanimportantSchedulingProblem.Itfocusedonstudyingreasonablearrangementofstartingandfinishingtimeofactivityintheprojectwhenprogrampurposeissatisfiedunderconditionsoftimingandresourceconstraintooptimizesomemanagementpurpose,suchasshortes
3、tconstructionperiod,smallestcostandresourceleveling.Theoretically,thisproblembelongstoNP-hard.VariousmodelsandmanycombinatorialoptimizationproblemsarespecialsituationofRCPSP.Besides,RCPSPiswidelyusedinconstruction,softwareandmanufacturingindustry.Therefore,res
4、earchonRCPSPhasimportanttheoreticalandrealisticsignificance.Thepapermainlystudiesthefollowingcontents:(1)AsforclassicRCPSP,thepaperdesignsanewintelligentoptimizationalgorithm---teachinggeneticalgorithmforclassicresource-constrainedprogrambycombininggeneticalgo
5、rithmandteaching-learningalgorithm.Thisalgorithmdesignedatwicecrossoveroperation-basedontwo-stagesearchfastalgorithminteachingalgorithm.Oncecrosshappensbetweenstudentsandteachers.Thecrossoveroperationproceedsbetweenstudentswithcrossoverprobability.Thecrossover
6、operationdesignmakesteachinggeneticalgorithmjumpoutoflocaloptimizationeffectivelytogainbetterschedulingplan.TheexperimentverifieseffectivenessofalgorithmbyschedulingproblemofclassicresourceconstraintprograminstandarddatabasePSPLIB.(2)Inpracticalprogramscheduli
7、ng,activitiesofprogramhaveoneormoreexecutionmodeinoperation.Eachmoderepresentsaresourcerequirementamountandcorrespondingcombinationofsustainingtime.Differentdurationhasdifferentresourcerequirement.IthaspracticalsignificancetotakeResource-ConstrainedProjectSche
8、dulingProblemwithmulti-processingmodeasexpansionofclassicRCPSP.ThepaperproposeshybridgeneticalgorithmagainstMRCPSP.Beforecalculating,thealgorithmhastopreprocessdatainprogram,thencr
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