• DocumentCode
    3098621
  • Title

    Research on Structure Designing of Agent Organization Based on Hybrid Genetic Algorithm

  • Author

    Peng, Xiaohong ; Liu, Zhong ; Huang, JinCai ; Yang, Dongsheng

  • Author_Institution
    Coll. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha
  • fYear
    2006
  • fDate
    Nov. 28 2006-Dec. 1 2006
  • Firstpage
    53
  • Lastpage
    53
  • Abstract
    In MAS, organization is an effective solution mode to complicated problems. In this mode, the basic elements of agent organizational structure are defined, which provides a basic for the mathematical formulation of organizational structure designing. In this paper, a novel hybrid genetic algorithm is proposed, multi-PRI list dynamic scheduling method are nested in genetic algorithm to gain a new strategy. And the results and computation complexities of hybrid genetic algorithm and traditional multi-phase algorithms to address the problem of organization designing are analyzed and compared.
  • Keywords
    genetic algorithms; multi-agent systems; scheduling; agent organizational structure; computation complexity; hybrid genetic algorithm; mathematical formulation; multiPRI list dynamic scheduling; multiphase algorithm; organizational structure designing; Algorithm design and analysis; Competitive intelligence; Computational intelligence; Design methodology; Design optimization; Dynamic scheduling; Genetic algorithms; Intelligent agent; Optimization methods; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7695-2731-0
  • Type

    conf

  • DOI
    10.1109/CIMCA.2006.183
  • Filename
    4052697