• DocumentCode
    2656468
  • Title

    A mechanism to form coalition in multi-agent system based on genetic algorithm

  • Author

    Jijun, Zhang ; Jiping, Zhang ; Baoguo, Tian ; Jinchun, Zhang

  • Author_Institution
    Naval Aeronaut. & Astronaut. Univ., Yantai
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    155
  • Lastpage
    159
  • Abstract
    In order to research the problem of coalition formation in dynamic open multi-agent system, a rule of coalition payoff distribution based on agentspsila abilities was proposed as well as the conception of coalition payoff ratio and other correlative propositions. The negotiation mechanism and negotiation rules among agents were also discussed. Based on these researches, a mechanism to form coalition based on multi-agent genetic algorithm was established. This mechanism can enormously reduce the quantity of systempsilas communications and improve the systempsilas efficiency.
  • Keywords
    genetic algorithms; multi-agent systems; task analysis; RETSINA; coalition formation; coalition payoff distribution; dynamic open multi-agent system; genetic algorithm; Aerodynamics; Control systems; Costs; Genetic algorithms; Intelligent agent; Intelligent networks; Intelligent systems; Machine intelligence; Multiagent systems; Stability; Agent; Genetic algorithm; Multi-agent coalition; Multi-agent system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2008. CCC 2008. 27th Chinese
  • Conference_Location
    Kunming
  • Print_ISBN
    978-7-900719-70-6
  • Electronic_ISBN
    978-7-900719-70-6
  • Type

    conf

  • DOI
    10.1109/CHICC.2008.4604951
  • Filename
    4604951