• DocumentCode
    3217332
  • Title

    Convergence and Dispersion in Intelligent Optimizers

  • Author

    Chen Jie ; Xin Bin ; Dou Li-hua

  • Author_Institution
    Dept. of Autom. Control, Beijing Inst. of Technol., China
  • fYear
    2006
  • fDate
    7-11 Aug. 2006
  • Firstpage
    624
  • Lastpage
    628
  • Abstract
    Based on the evolution of intelligent optimizers, this paper proposes two attributes - convergence and dispersion that all integrated optimizers must have according to basic optimization theories. These two attributes are principal foundations to analyze and improve optimizers. In the end, the paper discusses the combination of mechanisms in optimizers according to the convergence and dispersion properties.
  • Keywords
    artificial intelligence; optimisation; convergence property; dispersion property; intelligent optimizers; optimization theories; Argon; Convergence; Hydrogen; IEEE catalog; Information science; Intelligent structures; Mechanical factors; Convergence and Dispersion; Intelligent Optimizer; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2006. CCC 2006. Chinese
  • Conference_Location
    Harbin
  • Print_ISBN
    7-81077-802-1
  • Type

    conf

  • DOI
    10.1109/CHICC.2006.280687
  • Filename
    4060596
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3217332