Application of particle swarm optimization based on clustering analysis in logistics distribution

Haobin Shi, Zhonghua Li, Wenbin Li, Zhujun Yu

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

In order to solve the modern logistics problem of vehicle distribution, a particle swarm optimization (PSO) algorithm based on clustering analysis is proposed in this paper. This algorithm clusters the target points in need of distribution primarily by DBSCAN algorithm, and then weighted k-means algorithm is used to cluster the target points finally based on the primary clustering. Corresponding vehicles are allocated to every target cluster according to result of clustering analysis, furthermore, path of vehicles are optimized by use of PSO algorithm until all the distribution tasks are finished. Simulation experiments result shows that PSO algorithm based on clustering analysis is feasible and effective in modern logistics distribution process.

源语言英语
主期刊名2009 International Conference on Management of e-Commerce and e-Government, ICMeCG 2009
291-295
页数5
DOI
出版状态已出版 - 2009
活动2009 International Conference on Management of e-Commerce and e-Government, ICMeCG 2009 - Nanchang, 中国
期限: 16 9月 200919 9月 2009

出版系列

姓名2009 International Conference on Management of e-Commerce and e-Government, ICMeCG 2009

会议

会议2009 International Conference on Management of e-Commerce and e-Government, ICMeCG 2009
国家/地区中国
Nanchang
时期16/09/0919/09/09

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