• DocumentCode
    3020403
  • Title

    The Model of Weights Optimization Based on Genetic Algorithm

  • Author

    Guo, Yonghong

  • Author_Institution
    Dept. of Mech. Electr. Eng., China JiLiang Univ., Hangzhou, China
  • Volume
    1
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    444
  • Lastpage
    448
  • Abstract
    The adjusting and optimizing of characteristics right is an important problem of the case amendment in CBR. And in practical applications, it is difficult to determine the vector of characteristics right of the case. Because of the global random search capability of genetic algorithm, in this paper a genetic algorithm to complete the direct search in space of right is presented, which is using genetic algorithm to optimize characteristics right by random adjusting Pc and Pm, the maximum fitness function can be found, so it can find a good right of the case. Experiments show that the method is reliable and effective.
  • Keywords
    case-based reasoning; genetic algorithms; search problems; CBR; genetic algorithm; global random search capability; maximum fitness function; weights optimization; Artificial intelligence; Binary codes; Biological cells; Computational intelligence; Computational modeling; Diseases; Genetic algorithms; Libraries; Marine animals; Optimization methods; genetic algorithm; optimization; right;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.466
  • Filename
    5376260