• DocumentCode
    3398870
  • Title

    A Hybrid Scheme for the Function Optimization

  • Author

    Ailing, Chen ; Xitang, Zhang

  • Author_Institution
    Sch. of Inf. Manage., Shandong Economic Univ., Ji´´nan, China
  • Volume
    3
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    281
  • Lastpage
    283
  • Abstract
    To improve the precision of the function prediction, an effective optimization approach is proposed, where genetic algorithm (GA) and self-adaptive particle swarm optimization algorithm are hybridized to enhance the searching ability. Simulation results have shown that the hybrid scheme is effective and efficient for the function prediction.
  • Keywords
    genetic algorithms; particle swarm optimisation; search problems; function optimization; function prediction; genetic algorithm; hybrid scheme; searching ability; self-adaptive particle swarm optimization; Algorithm design and analysis; Gallium; Optimization; Particle swarm optimization; Simulation; Strontium; function pridiction; genetic algorithm; hybrid scheme; particle swarm optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8432-4
  • Type

    conf

  • DOI
    10.1109/AICI.2010.296
  • Filename
    5655541
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3398870