• DocumentCode
    3614216
  • Title

    The study of a new multiagent-based genetic algorithm

  • Author

    Hong-Zhong Deng; Yue-Jin Tan; Ji Li

  • Author_Institution
    Syst. Eng. Res. Inst., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    3
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1237
  • Abstract
    Through the analysis and studying of the simple genetic algorithm (SGA) and its research state, the authors suggest a new multiagent-based genetic algorithm, define the environment of SGA, present the agent structure, genetic operator, target/evaluation function, and flow chat. Finally, they verify this new GA with two test functions. The results show that this new GA have many merits and advantages.
  • Keywords
    "Genetic algorithms","Algorithm design and analysis","Adaptive systems","Genetic engineering","Testing","Design optimization","Fault diagnosis","Control systems","Filters","Acceleration"
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
  • Print_ISBN
    0-7803-7508-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2002.1167398
  • Filename
    1167398
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3614216