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An Optimization-Based Heuristic for the Split Delivery Vehicle Routing Problem

机译:基于优化的启发式分割配送车辆路径问题

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摘要

The split delivery vehicle routing problem is concerned with serving the demand of a set of customers with a fleet of capacitated vehicles at minimum cost. Contrary to what is assumed in the classical vehicle routing problem, a customer can be served by more than one vehicle, if convenient. We present a solution approach that integrates heuristic search with optimization by using an integer program to explore promising parts of the search space identified by a tabu search heuristic. Computational results show that the method improves the solution of the tabu search in all but one instance of a large test set.
机译:分开运输车辆的路线选择问题涉及以最少的成本用一批载有能力的车辆来满足一组客户的需求。与传统的车辆路径问题中所假设的相反,如果方便的话,可以由多辆车辆为客户服务。我们提出了一种解决方案方法,该方法通过使用整数程序来探索由禁忌搜索启发式方法标识的搜索空间的有希望的部分,从而将启发式搜索与优化集成在一起。计算结果表明,该方法改进了除大型测试集的一个实例之外的所有实例中禁忌搜索的解决方案。

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