• DocumentCode
    2620606
  • Title

    An improved genetic algorithm for solving deceptive problems

  • Author

    Li, Jianwu ; Li, Minqiang

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Beijing Inst. of Technol., China
  • Volume
    2
  • fYear
    2005
  • fDate
    25-27 July 2005
  • Firstpage
    502
  • Abstract
    Based on the research on deceptive problems of genetic algorithms (GAs), this paper proposes an improved GA to solve deceptive problems. This method, by defining the diversity measure of gene loci for elitist individuals, deduces some gene loci which may cause schema deception. Then, the algorithm performs the complementary operation for these gene loci of elitist individuals. At last, this paper selects the trap function to do some experiments, and the experimental results show that this method is effective to solve deceptive problems of GAs.
  • Keywords
    genetic algorithms; deceptive problem; diversity measure; elitist individual; gene loci; genetic algorithm; Algorithm design and analysis; Bayesian methods; Computer science; Genetic algorithms; Genetic engineering; Genetic mutations; Performance analysis; Sorting; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9017-2
  • Type

    conf

  • DOI
    10.1109/GRC.2005.1547342
  • Filename
    1547342