• DocumentCode
    2840090
  • Title

    Application of Immune Particle Swarm Optimizer in Function Optimization

  • Author

    Jinli Xu ; Ming Zheng ; Ying Duan

  • Author_Institution
    Sch. of Mech. & Electron. Eng., Wu Han Univ. of Technol., WuHan, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Particle swarm optimization (PSO) algorithm is widely used in function optimization, but the performance of PSO algorithm is restricted as frequently occurrences of the premature. Introduce immune operator to PSO algorithm can be to avoid premature and improve the performance of algorithm. For the four benchmark functions, the results show that the immune operator improve performance of algorithm significantly.
  • Keywords
    particle swarm optimisation; benchmark functions; function optimization; immune operator; immune particle swarm optimizer; particle swarm optimization algorithm; Application software; Artificial immune systems; Computational complexity; Computer science; Convergence; Genetics; Immune system; Large-scale systems; Particle swarm optimization; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5364708
  • Filename
    5364708
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2840090