有能力车辆路线问题

Tejal Carwalo, Jerin Thankappan, Vandana A. Patil
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引用次数: 0

摘要

车辆路线问题(Vehicle routing problem, VRP)是指在访问每个客户位置一次的同时最小化总路线长度的问题。在有能力车辆路径问题中,需要满足车辆的节点需求。对于大规模问题,使用聚类方法可以改进解决方案。本文提出了一种有效的改进分区聚类方法。提出的分区聚类方法的主要目的是将整个区域划分成小簇,在聚类时考虑每辆车的节点需求;然后利用蚁群算法将每个聚类求解为车辆路径问题。提出的分区聚类方法提高了求解的效率。实验结果表明,本文提出的聚类方法优于先前使用的k-均值聚类方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Capacitated vehicle routing problem
Vehicle routing problem (VRP) involves minimizing total route length while visiting each customer location exactly once. In capacitated vehicle routing problem the nodal demand of the vehicle need to be satisfied. For large scale problem use of clustering approach can improve the solution. In this paper an effective modified partition clustering approach has been proposed. The main purpose of proposed partition clustering approach is to divide the entire area into small clusters and to consider the nodal demand of each vehicle while forming the clusters; then each cluster is solved as vehicle routing problem using ant colony optimization. The proposed partition clustering approach has improved the efficiency of the solution. Experimental result shows that the proposed clustering approach is better than the previously used k-means clustering approach.
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