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文章基本信息

  • 标题:Solving Location Problem of Distribution Center Based on Hybrid Particle Swarm Algorithm
  • 本地全文:下载
  • 作者:Can Gao ; Yumei Song ; Jiajie Shen
  • 期刊名称:Journal of Computers
  • 印刷版ISSN:1796-203X
  • 出版年度:2018
  • 卷号:13
  • 期号:10
  • 页码:1185-1191
  • DOI:10.17706/jcp.13.10.1185-1191
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:A kind of coding is constructed for location problem of distribution center and then a hybrid particle swarm optimization algorithm is proposed, integrating the particle swarm optimization and the hill climbing algorithm. The particle swarm evolves in the integer space after being integer standardized. This algorithm can solve the problem of low precision and divergence of basic particle swarm optimization algorithm, so it has higher efficiency of search. Compared with basic particle swarm optimization algorithm and genetic algorithm, it has been proved that this algorithm is more effective.
  • 关键词:Hill climbing algorithm; hybrid particle swarm algorithm; integer standardization; location of distribution centre.
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