• DocumentCode
    3300476
  • Title

    Clonal Selection Algorithm with Hyper Mutation and Spatial Clone Extension

  • Author

    Jin, Zongxin ; Liu, Guangyuan ; Wen, Wanhui

  • Author_Institution
    Fac. of Comput. & Inf. Sci., Southwest Univ., Chongqing
  • Volume
    1
  • fYear
    2006
  • fDate
    Nov. 2006
  • Firstpage
    402
  • Lastpage
    405
  • Abstract
    In this paper, hyper mutation and spacial clone extension to antibody was introduced to the basic clonal selection algorithm mode (BCSA) in order to overcome premature convergence and stagnation at the end stage of iterative optimization. Compared to other intelligent algorithms and the BCSA after testing several typical benchmark problems, the clonal selection algorithm with hyper mutation and spatial clone extension (HSCSA) indeed managed to improve the ability of searching the global optimum and yielded superior results
  • Keywords
    convergence; genetic algorithms; search problems; clonal selection algorithm; hyper mutation; intelligent algorithms; iterative optimization; premature convergence; spatial clone extension; stagnation; Biology computing; Cloning; Computational and artificial intelligence; Computer networks; Convergence; Genetic mutations; Immune system; Information science; Iterative algorithms; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2006 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    1-4244-0605-6
  • Electronic_ISBN
    1-4244-0605-6
  • Type

    conf

  • DOI
    10.1109/ICCIAS.2006.294163
  • Filename
    4072116