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  • 标题:Inspiring Particle Swarm Optimization on Multi-Robot Search System
  • 本地全文:下载
  • 作者:Mohammad Naim Rastgoo ; Bahareh Nakisa ; Farzaneh Salimian Najafabadi
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2014
  • 卷号:6
  • 期号:10
  • 页码:338-342
  • 出版社:Engg Journals Publications
  • 摘要:Multi-robot Search system is one area that attracts many researchers. In the field of multi-robot system one of the problem is to design a system that allow the robot to work within a team to find a target. There are many methods that are used on the multi-robot systems. One of the methods is Particle Swarm Optimization (PSO) that uses a virtual multi-agent search to find a target in a 2 dimensional search space. In this paper we present a multi-search algorithm by modifying the Particle Swarm Optimization algorithm to model an abstracted level theeffects of changing aspects and parameters of the system suchas number of robots.
  • 关键词:Particle Swarm Optimization; Multi-robot system; Searching task
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