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文章基本信息

  • 标题:A Wolf Colony Search Algorithm Based on the Complex Method for Uninhabited Combat Air Vehicle Path Planning
  • 本地全文:下载
  • 作者:Qiang Zhou ; Yongquan Zhou ; Xin Chen
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2014
  • 卷号:7
  • 期号:1
  • 页码:183-200
  • DOI:10.14257/ijhit.2014.7.1.15
  • 出版社:SERSC
  • 摘要:Path planning for uninhabited combat air vehicle (UCAV) is a class of complicated high dimensional optimization problem, which mainly centralizes on path planning considering the different kinds of constrains in the complex environment of war. In order to solve this problem, it is converted to a kind of constrained function optimization problem, and a wolf colony search algorithm based on the complex method is proposed, which combines the complex method with a wolf colony search algorithm, and it solves the problem of UCAV path planning successfully. The experiment results show that our proposed algorithm is feasible and effective to solve the problem of UCAV path planning.
  • 关键词:Wolf colony search algorithm; complex method; UCAV path planning; constrained ; optimization
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