• DocumentCode
    1834533
  • Title

    Bee System: finding solution by a concentrated search

  • Author

    Sato, Takao ; Hagiwara, Masafumih

  • Author_Institution
    Dept. of Electr. Eng., Keio Univ., Yokohama, Japan
  • Volume
    4
  • fYear
    1997
  • fDate
    12-15 Oct 1997
  • Firstpage
    3954
  • Abstract
    We propose an improved genetic algorithm named Bee System. The concept of the Bee System comes from the behavior of bees: first, a bee finds feed and then it notifies this information to the other bees by a dance to work together. In the proposed Bee System, each chromosome tries to find a good solution individually. When some chromosome is regarded as superior one, other chromosomes try to find a solution around there using multiple populations. Such a procedure is then repeated. The Bee System employs some new operations such as concentrated crossover, and Pseudo-Simplex Method. By computer simulations it is confirmed that the Bee System has better performance than the conventional genetic algorithm
  • Keywords
    genetic algorithms; genetics; search problems; Bee System; Pseudo-Simplex Method; chromosome; computer simulations; concentrated crossover; concentrated search; improved genetic algorithm; multiple populations; Airplanes; Biological cells; Computer simulation; Electronic mail; Feeds; Genetic algorithms; Neural networks; Optimization methods; Pattern matching; Pipelines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4053-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1997.633289
  • Filename
    633289