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文章基本信息

  • 标题:Logistics Transportation Time Optimization Based on Fuzzy Particle Swarm Optimization
  • 本地全文:下载
  • 作者:Bingqing Zhang
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2022
  • 卷号:359
  • 页码:1-5
  • DOI:10.1051/matecconf/202235901024
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:The fuzzy particle swarm optimization (FPSO-RRB- algorithm is used to solve the logistics transportation time optimization problem, a three-dimensional particle coding method based on receiving point, particle position sequence and particle position rounding operation is proposed, the results are compared with those of fuzzy particle swarm optimization algorithm. The experimental results show that the fuzzy particle swarm optimization algorithm can effectively optimize the logistics transportation time.
  • 关键词:Fuzzy particle swarm optimization;logistics and transportation;time optimization;coping strategies
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