• DocumentCode
    412664
  • Title

    Adapting mutations in genetic algorithms using gene flow principles

  • Author

    Greenwood, Garrison W.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Portland State Univ., USA
  • Volume
    2
  • fYear
    2003
  • fDate
    8-12 Dec. 2003
  • Firstpage
    1392
  • Abstract
    Bit mutation in genetic algorithms is usually done with a single fixed probability. Methods to adapt this probability have been suggested, but they operate at the genome level. This paper describes a gene level adaption scheme, based on allele frequencies, which gives a better escape from local optima.
  • Keywords
    genetic algorithms; probability; allele frequencies; bit mutation; gene flow principles; gene level adaption scheme; genetic algorithms; Bioinformatics; Biological cells; Conducting materials; Frequency; Genetic algorithms; Genetic engineering; Genetic mutations; Genomics; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
  • Print_ISBN
    0-7803-7804-0
  • Type

    conf

  • DOI
    10.1109/CEC.2003.1299833
  • Filename
    1299833
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=412664