基于蚁群算法的配送网络拓扑图设计与研究

毕洪山; 何光营; 韩印

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DOI:10.3969/j.issn.1006-4729.2015.02.016

上海电力大学学报:2015,31(2):170-174

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基于蚁群算法的配送网络拓扑图设计与研究

毕洪山^1,2, 何光营², 韩印³

(1.上海理工大学管理学院;2.上海电力学院现代教育技术中心;3.上海理工大学交通系统工程研究所)

Design and Research of Distribution Network Map Based on Ant Colony Algorithm

BI Hongshan^1,2, HE Guangying², HAN Yin³

(1.School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China;2.Modern Educational Technology Center, Shanghai University of Electric Power, Shanghai 200090, China;3.Transportation Research Institute of System Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)

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投稿时间：2014-12-03

中文摘要: 配送网络中车辆的行车轨迹是配送系统的核心问题,直接关系到配送效率.采用生物体蚁群寻找食源的方法,改进信息素浓度计算,并取转移概率的最大值,以减少寻径的盲目性.采用C语言实现了整个算法.实验结果表明,采用改进算法后的配送效率得到明显提高.

中文关键词: 配送网络蚁群算法最短路径转移概率

Abstract:The driving track of distribution network is the core problem in distribution system, directly related to the efficiency of distribution. The method of organism ant colony search food source is adopted to improve pheromone concentration calculation, and the maximum value of the transfer probability is used to reduce blindness routing. C language is used to realize the algorithm. Experiments show that when using the improved algorithm the distribution efficiency can be improved obviously.

keywords: distribution network topology ant colony algorithm shortest path transition probability

文章编号：20150216 中图分类号： 文献标志码：

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作者	单位	E-mail
毕洪山	上海理工大学管理学院上海电力学院现代教育技术中心	bihongshan@aliyun.com
何光营	上海电力学院现代教育技术中心
韩印	上海理工大学交通系统工程研究所

引用文本：
毕洪山,何光营,韩印.基于蚁群算法的配送网络拓扑图设计与研究[J].上海电力大学学报,2015,31(2):170-174.
BI Hongshan,HE Guangying,HAN Yin.Design and Research of Distribution Network Map Based on Ant Colony Algorithm[J].Journal of Shanghai University of Electric Power,2015,31(2):170-174.

Author Name	Affiliation	E-mail
BI Hongshan	School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China Modern Educational Technology Center, Shanghai University of Electric Power, Shanghai 200090, China	bihongshan@aliyun.com
HE Guangying	Modern Educational Technology Center, Shanghai University of Electric Power, Shanghai 200090, China
HAN Yin	Transportation Research Institute of System Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China