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Branch-and-price-and-cut for the Split-collection Vehicle Routing Problem with Time Windows and Linear Weight-related Cost

机译:拆分车辆路线的分支和价格切割   时间窗和线性权重相关成本的问题

摘要

This paper addresses a new vehicle routing problem that simultaneouslyinvolves time windows, split collection and linear weight-related cost, whichis a generalization of the split delivery vehicle routing problem with timewindows (SDVRPTW). This problem consists of determining least-cost vehicleroutes to serve a set of customers while respecting the restrictions of vehiclecapacity and time windows. The travel cost per unit distance is a linearfunction of the vehicle weight and the customer demand can be fulfilled bymultiple vehicles. To solve this problem, we propose a exactbranch-and-price-and-cut algorithm, where the pricing subproblem is aresource-constrained elementary least-cost path problem. We first prove that atleast an optimal solution to the pricing subproblem is associated with anextreme collection pattern, and then design a tailored and novel label-settingalgorithm to solve it. Computational results show that our proposed algorithmcan handle both the SDVRPTW and our problem effectively.
机译:本文解决了一个新的车辆路径选择问题,该问题同时涉及时间窗口,拆分集合和线性权重相关的成本,这是带有时间窗的拆分交付车辆路径问题(SDVRPTW)的推广。这个问题包括确定最低成本的车辆路线以服务于一组客户,同时遵守车辆容量和时间窗口的限制。每单位距离的旅行成本是车辆重量的线性函数,并且多辆车辆可以满足客户需求。为了解决这个问题,我们提出了一种精确的分支与价格和割价算法,其中定价子问题是受资源约束的基本最小成本路径问题。我们首先证明定价子问题的至少一个最佳解决方案与极端的收款方式有关,然后设计了量身定制的新颖标签设置算法来解决该问题。计算结果表明,本文提出的算法可以有效地处理SDVRPTW问题。

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