4.7 Article

An ant colony algorithm for the multi-compartment vehicle routing problem

期刊

APPLIED SOFT COMPUTING
卷 15, 期 -, 页码 169-176

出版社

ELSEVIER
DOI: 10.1016/j.asoc.2013.10.017

关键词

Ant colony optimization; Capacitated vehicle routing problem; Clustering; Multi-compartment vehicles; Waste collection

向作者/读者索取更多资源

We demonstrate the use of Ant Colony System (ACS) to solve the capacitated vehicle routing problem associated with collection of recycling waste from households, treated as nodes in a spatial network. For networks where the nodes are concentrated in separate clusters, the use of k-means clustering can greatly improve the efficiency of the solution. The ACS algorithm is extended to model the use of multi-compartment vehicles with kerbside sorting of waste into separate compartments for glass, paper, etc. The algorithm produces high-quality solutions for two-compartment test problems. (C) 2013 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据