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文章基本信息

  • 标题:Study on Logistics Distribution Route Optimization Based on Clustering Algorithm and Ant Colony Algorithm
  • 本地全文:下载
  • 作者:Zhang Bin ; Liu Xiao-Jun
  • 期刊名称:The Open Cybernetics & Systemics Journal
  • 电子版ISSN:1874-110X
  • 出版年度:2015
  • 卷号:9
  • 期号:1
  • 页码:1245-1250
  • DOI:10.2174/1874110X01509011245
  • 出版社:Bentham Science Publishers Ltd
  • 摘要:

    Logistics distribution has become the key research to improve efficiency and reduce the cost of logistics. Based on the survey of current situation and optimization algorithms, a novel optimization scheme is presented in this paper. For a lot of distribution sites in a city, firstly K-means clustering algorithm is adopted to get local distribution centers and their scope, and then ant colony algorithm is used to design the local optimal route inside each scope. The simulation results show that the presented scheme can improve the optimal distribution route compared to pure ant colony algorithm.

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