• DocumentCode
    536885
  • Title

    Improving Particle Swarm Optimization Algorithm with Mutation Strategy

  • Author

    Cen, Yusen ; Xiong, Fangmin

  • Author_Institution
    Sch. of Comput. Sci., Zhaoqing Univ., Zhaoqing, China
  • fYear
    2010
  • fDate
    7-9 Nov. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Adopt the concept of mutation in Genetic Algorithm to improve Particle Swarm Optimization. The experimental results show tow advantages for the mutation strategies. Firstly, It´s workable for the algorithm and the performance was superior to fuzzy PSO and hybrid PSO; Secondly, the agitation strategy was more flexible.
  • Keywords
    fuzzy set theory; genetic algorithms; particle swarm optimisation; agitation strategy; fuzzy PSO; genetic algorithm; hybrid PSO; mutation strategy; particle swarm optimization; Classification algorithms; Computers; Genetics; Optimization; Particle swarm optimization; Presses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
  • Conference_Location
    Henan
  • Print_ISBN
    978-1-4244-7159-1
  • Type

    conf

  • DOI
    10.1109/ICEEE.2010.5660711
  • Filename
    5660711
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=536885