分割配送车辆路径问题的数学方法:一种有效的基于集合覆盖的有导向路径生成方案模型

Nurul Huda Mohamed, S. Salhi, G. Nagy, N. A. Mohamed
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引用次数: 1

摘要

分割配送车辆路径问题(SDVRP)是传统VRP问题的简化版本,其中客户可以多次访问。svdvrp也适用于一个或多个客户的需求大于车辆容量的问题。首先提出了基于并行节省和扫描方法的建设性启发式方法,生成一组解,然后将其用于我们提出的新的更有效的基于集合覆盖的公式。提出了一种有效的修复机制,以弥补由于集合覆盖问题而导致的不可行性。在我们的模型中使用了一组简化的有希望的路线,而不是原始的路线集,提出并使用了定义良好的减少方案。这种基于集合覆盖的方法在文献中的大型数据集上进行了测试,结果令人鼓舞。简而言之,在137个SDVRP实例中找到了包括关系在内的7个最佳解决方案。
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A matheuristic approach for the split delivery vehicle routing problem: an efficient set covering-based model with guided route generation schemes
The split delivery vehicle routing problem (SDVRP) is a relaxed version of the classical VRP where customers can be visited more than once. The SDVRP is also applicable for problems where one or more of the customers require a demand larger than the vehicle capacity. Constructive heuristics adapted from the parallel savings and the sweep methods are first proposed to generate a set of solutions which is then used in the new and more efficient set covering-based formulation which we put forward. An effective repair mechanism to remedy any infeasibility due to the set covering problem is presented. A reduced set of promising routes is used in our model, instead of the original set of routes, proposing and using well defined reduction schemes. This set covering-based approach is tested on large datasets from the literature with encouraging results. In brief, seven best solutions including ties are found among the 137 SDVRP instances.
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