• DocumentCode
    2970030
  • Title

    Hybrid Evolutionary Algorithm Based on PSO and GA Mutation

  • Author

    Esmin, A.A.A. ; Lambert-Torres, G. ; Alvarenga, G.B.

  • Author_Institution
    UFLA, Brazil
  • fYear
    2006
  • fDate
    Dec. 2006
  • Firstpage
    57
  • Lastpage
    57
  • Abstract
    This paper presents a hybrid evolutionary algorithm based on Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs). The main idea is to integrate PSO with GA mutation method. Simulations for a series of benchmark test functions show that the hybrid proposed method possess better ability to find the global optimum than the standard PSO algorithm.
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems, 2006. HIS '06. Sixth International Conference on
  • Conference_Location
    Rio de Janeiro, Brazil
  • Print_ISBN
    0-7695-2662-4
  • Type

    conf

  • DOI
    10.1109/HIS.2006.264940
  • Filename
    4041437
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2970030