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首页> 外文期刊>European Journal of Operational Research >CLOVES: A cluster-and-search heuristic to solve the vehicle routing problem with delivery and pick-up
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CLOVES: A cluster-and-search heuristic to solve the vehicle routing problem with delivery and pick-up

机译:CLOVES:一种集群搜索式启发式方法,可解决送货和提货时的车辆路线问题

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摘要

This paper addresses the vehicle routing problem with sequence-constrained delivery and pick-up (VRPDP). We propose a multi-phase constructive heuristic that clusters nodes based on proximity, orients them along a route using shrink-wrap algorithm and allots vehicles using generalized assignment procedure. We employ genetic algorithm for an intensive final search. Trials on a large number of test-problems have yielded encouraging results. (c) 2006 Elsevier B.V. All rights reserved.
机译:本文通过序列约束的交付和提取(VRPDP)解决了车辆路线选择问题。我们提出了一种多阶段构造启发式算法,该算法基于邻近度对节点进行聚类,使用收缩包装算法将其沿路线定向,并使用广义分配过程分配车辆。我们采用遗传算法进行密集的最终搜索。大量测试问题的试验结果令人鼓舞。 (c)2006 Elsevier B.V.保留所有权利。

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