有能力车辆路径问题的混合两阶段扫描算法

Meng-Hui Chen, Ching-Ying Chiu, P. Chang, S. Annadurai
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引用次数: 6

摘要

有能力车辆路线问题(Capacitated Vehicle Routing Problem, CVRP)是车辆路线问题(Vehicle Routing Problem, VRP)的一种变体,CVRP只考虑车辆的容量限制,其目标是车辆为所有顾客服务的成本最小。在本研究中,我们提出了一种混合两相扫描算法(SA)和贪心搜索的求解CVRP的方法。在SA的第一阶段,所有客户都被SA聚类,并将每个集群定义为一个块。第二阶段是在第一阶段的基础上重构每个相邻簇。然后应用贪婪搜索最小化每辆车的成本。最后,在标准实例上的计算结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A hybrid two-stage sweep algorithm for capacitated vehicle routing problem
Capacitated Vehicle Routing Problem (CVRP) is a variant of Vehicle Routing Problem (VRP), where CVRP is only considered the capacity restrictions, and the object is to minimize the cost of the vehicles serve all customers. In this study, we proposed an approach which is hybrid two-phase sweep algorithm (SA) and greedy search for solving CVRP. At the first stage of SA, all customers are clustered by SA and define each cluster as a block. The second stage is to reconstruct each neighbour clusters based on the first stage. Then the greedy search is applied to minimize the cost of each vehicle. Finally, the computational result on standard instances show the proposed approach is effective.
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