简介：Job-Shop是离散事件系统中典型的调度问题，通过计算机仿真能够动态地展现Job-Shop车间的状态，分析在不同调度方法下的系统性能，并运用知识和经验去选择合适的调度方法，从而改善调度性能。本文构造了Job-Shop的离散事件仿真模型，设计了基于事件驱动的仿真策略，并讨论了优先调度准则，为解决这一问题提供了一种现实可行的思路与方法。

简介：Amodifiedbottleneck-based(MB)heuristicforlarge-scalejob-shopschedulingproblemswithawell-definedbottleneckissuggested,whichissimplerbutmoretailoredthantheshiftingbottleneck(SB)procedure.Inthisalgorithm,thebottleneckisfirstscheduledoptimallywhilethenon-bottleneckmachinesaresubordinatedaroundthesolutionsofthebottleneckschedulebysomeeffectivedispatchingrules.ComputationalresultsindicatethattheMBheuristiccanachieveabettertradeoffbetweensolutionqualityandcomputationaltimecomparedtoSBprocedureformedium-sizeproblems.Furthermore,itcanobtainagoodsolutioninashorttimeforlarge-scalejob-shopschedulingproblems.

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简介：Ajobshopschedulingproblemwithacombinationprocessingincomplexproductionenvironmentisproposed.Basedonthedefiningof'non-elasticcombinationprocessingrelativity'and'virtualprocess',theproblemcanbesimplifiedandtransformedtoatraditionalone.Onthebasisofthedispatchingrulesselectengineandconsideredfactorsofcomplexproductionenvironment,aheuristicmethodisdesigned.ThealgorithmhasbeenappliedtoamouldenterpriseinShenzhenforhalfayear.Thepracticeshowedthatbyusingthemethodsuggestedthenumberofdelayedorderswasdecreasedabout20%andtheproductivitywasincreasedby10to20%.

简介：Aclonalselectionbasedmemeticalgorithmisproposedforsolvingjobshopschedulingproblemsinthispaper.Intheproposedalgorithm,theclonalselectionandthelocalsearchmechanismaredesignedtoenhanceexplorationandexploitation.Intheclonalselectionmechanism,clonalselection,hypermutationandreceptoredittheoriesarepresentedtoconstructanevolutionarysearchingmechanismwhichisusedforexploration.Inthelocalsearchmechanism,asimulatedannealinglocalsearchalgorithmbasedonNowickiandSmutnicki'sneighborhoodispresentedtoexploitlocaloptima.Theproposedalgorithmisexaminedusingsomewell-knownbenchmarkproblems.Numericalresultsvalidatetheeffectivenessoftheproposedalgo-rithm.

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简介：在他人处于困境时，一个小小的善意举动会带去无穷的力量，你也会从中获得无尽的快乐……

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