• DocumentCode
    3416392
  • Title

    Multi-swarm cooperation optimization for multi-modal functions in repulsive potential field

  • Author

    Tang, Qin ; Shen, Yi ; Hu, Chengyu ; Zeng, Jianyou

  • Author_Institution
    Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2011
  • fDate
    19-21 Oct. 2011
  • Firstpage
    70
  • Lastpage
    74
  • Abstract
    In this paper, an advanced PSO has been proposed to solve multi-modal functions optimization. Multiple swarms are used to optimize parallel search and artificial repulsive potential field on local points are set up to prevent multiple swarm converging to the same place and repeatedly search. In addition, this paper provides a theoretical basis for the strategy of multi-swarm parallel search used in the advanced algorithm. Finally, the method is tested on some benchmark functions and the results show a superior performance compared to the others PSO variant.
  • Keywords
    particle swarm optimisation; search problems; advanced PSO; multimodal functions optimization; multiswarm cooperation optimization; multiswarm parallel search; repulsive potential field; Benchmark testing; Convergence; Educational institutions; Geology; Optimization; Particle swarm optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-61284-374-2
  • Type

    conf

  • DOI
    10.1109/IWACI.2011.6159977
  • Filename
    6159977