• DocumentCode
    3313875
  • Title

    A Precise Chaotic Particle Swarm Optimization Algorithm based on Improved Tent Map

  • Author

    He, Yaoyao ; Zhou, Jianzhong ; Li, Chaoshun ; Yang, Junjie ; Li, Qingqing

  • Author_Institution
    Sch. of Hydropower & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
  • Volume
    7
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    569
  • Lastpage
    573
  • Abstract
    The target of this paper is to enhance the precision of existent chaotic particle swarm optimization algorithm in the nonlinear optimizations problems. For this aim, a one-dimensional chaotic search pattern using improved tent map is introduced. This new pattern can also be combined with particle swarm optimization algorithm. The novel hybrid algorithm is validated for several test functions and the experimental results demonstrate its efficiency and precision to obtain global optimal solution.
  • Keywords
    chaos; nonlinear programming; particle swarm optimisation; search problems; 1D chaotic search pattern; chaotic particle swarm optimization algorithm; nonlinear optimizations problems; tent map; Application software; Chaos; Helium; Hydroelectric power generation; Logistics; Mathematics; Particle swarm optimization; Physics computing; Stochastic processes; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.588
  • Filename
    4668041