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A coevolutionary algorithm for the flexible delivery and pickup problem with time windows

机译:具有时间窗的灵活交货和提货问题的协同进化算法

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This paper addresses a flexible delivery and pickup problem with time windows (FDPPTW) and formulates the problem into a mixed binary integer programming model in order to minimize the number of vehicles and to minimize the total traveling distance. This problem is shown to be NP-hard. In this study, therefore, a coevolutionary algorithm incorporated with a variant of the cheapest insertion method is developed to speed up the solution procedure. The FDPPTW scheme overcomes the shortcomings of the existing schemes for the delivery and pickup problems. By testing with some revised Solomon's benchmark problems, the computational results have shown the efficiency and the effectiveness of the developed algorithm.
机译:本文解决了带有时间窗(FDPPTW)的灵活送货和取货问题,并将该问题表述为混合二进制整数规划模型,以最大程度地减少车辆数量和总行驶距离。该问题显示为NP难题。因此,在这项研究中,开发了一种结合了最便宜插入方法的变体的协同进化算法,以加快求解过程。 FDPPTW方案克服了现有方案在运送和提货问题上的缺点。通过对一些修正的所罗门基准问题进行测试,计算结果表明了所开发算法的效率和有效性。

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