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Research on Time Dependent Vehicle Routing Problem with Simultaneous Delivery and Pickup

机译:同时交货和取货的时变车辆路径问题研究

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Considering that travel routing costs change with time against the background of reverse logistics, this paper presents the time dependent vehicle routing problem of simultaneous delivery and pick-up (TD-VRPSDP), and establishes the mixed integer programming model of TD-VRPSDP. The pheromone updating strategy based on rank-based ant colony system and max-min ant system algorithm are used for solving TD-VRPSDP. Time heuristic in Ant Colony System (ACS) is designed for the constraint of dynamic routing characteristics and time windows in TD-VRPSDP. Eight group test instances are generated in the numerical simulation experiments. The results show that the ACS designed in this paper can solve TD-VRPSDP well.
机译:考虑到逆向物流背景下旅行路线成本随时间变化的特点,提出了基于时间的同时提货的车辆路线问题,并建立了TD-VRPSDP的混合整数规划模型。采用基于等级蚁群系统和最大最小蚁群算法的信息素更新策略求解TD-VRPSDP。蚁群系统(ACS)中的时间启发式设计旨在约束TD-VRPSDP中的动态路由特性和时间窗口。在数值模拟实验中生成了八个组测试实例。结果表明,本文设计的ACS可以很好地解决TD-VRPSDP问题。

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