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Constrained Time-Critical Routing For Multiple Mobile Agents

机译:多个移动代理的约束时间关键路由

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摘要

IntheInformationEra,integratingtechnologywiththereal-­‐worldenvironmentisatrendingparadigmthatattractsresearchersinmanyfields.Forexample,SmartCities’applicationsintegrateinformationtechnologywithexistinginfrastructurestooptimizemanyaspects,suchastime,energy,andcost.However,manydifficultiesshowup,includingatimeconstraintinsomeoftheapplicationswhenitisimplementedintherealworld.Oneoftheseapplicationsissmarttransportation.ThisthesisexploresVehicleRoutingProblem(VRP)andintroducesavariantofVRPthatrelatestotimeconstraintscalledVRPwithTimeWindow(VRPTW).Firstly,theproblemisformulatedintoalinearmathematicprogramwiththeobjectiveofminimizingthenumberofagentsusedinroutingandminimizingthetimespentinagents’routing.AheuristicapproachsolvesthisproblembyusingacombinedofA*SearchandRuinandRecreatealgorithmstofindtheshortestpathforagents.Additionally,theLocalSearchAlgorithmisusedtominimizethenumberofagentsusedinrouting.Twocasestudiestestthisheuristicapproach:acasestudyinchangingnumberofnodes,andacasestudyinchangingnodes’duration.Theresultsarerepresentedinnumberstoshowthereducednumberofagentsandtimecost,whilegraphplotsshowtheagents’routings.
机译:IntheInformationEra,integratingtechnologywiththereal - worldenvironmentisatrendingparadigmthatattractsresearchersinmanyfields.Forexample,SmartCities'applicationsintegrateinformationtechnologywithexistinginfrastructurestooptimizemanyaspects,suchastime,能源,andcost.However,manydifficultiesshowup,includingatimeconstraintinsomeoftheapplicationswhenitisimplementedintherealworld.Oneoftheseapplicationsissmarttransportation.ThisthesisexploresVehicleRoutingProblem(VRP)andintroducesavariantofVRPthatrelatestotimeconstraintscalledVRPwithTimeWindow(VRPTW)。首先,theproblemisformulatedintoalinearmathematicprogramwiththeobjectiveofminimizingthenumberofagentsusedinroutingandminimizingthetimespentinagents'routing.AheuristicapproachsolvesthisproblembyusingacombinedofA * SearchandRuinandRecreatealgorithmstofindtheshortestpathforagents.Additionally,theLocalSearchAlgorithmisusedtominimizethenumberofagentsusedinrouting。两种研究测试主义方法的案例:改变节点数的案例研究和案例研究更改节点的工期。结果以表示受过教育的代理数量和时间成本的形式表示,而图形图则显示代理的路由。

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  • 作者

    Ola Felemban; Shaoen Wu;

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  • 年度 2018
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  • 原文格式 PDF
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