• DocumentCode
    1562376
  • Title

    Research and design of cooperative engagement system based on multi-agent

  • Author

    Yang, Bo ; Su, Xiaohong ; Wang, Yadong

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China
  • Volume
    5
  • fYear
    2004
  • Firstpage
    3967
  • Abstract
    Cooperative Engagement System (CES) is a Decision Supporting System (DDS) combined with information fusion, intelligent optimization and control technology. This paper introduces the application of agent and intelligent technology in CES, through established a Cooperative Engagement System based on Multi-Agent. In this paper, a Grid Cooperative Solving Model based on hierarchy and network is proposed to fit the application in military domain in view of the special characteristics of military application. The model employed Genetic Algorithm for optimizing the strategy and Neural Network based on database of specific example of battle for agent control. The simulation experiments show that this model is effective on improving the cooperative engagement capability of the battle system.
  • Keywords
    decision support systems; genetic algorithms; intelligent control; military systems; multi-agent systems; neurocontrollers; agent control; battle system; control technology; cooperative engagement system; decision supporting system; genetic algorithm; grid cooperative solving model; information fusion; intelligent control; intelligent optimization; intelligent technology; military application; military domain; multiagent system; neural network; Application software; Computer science; Control systems; Databases; Design optimization; Genetic algorithms; Intelligent agent; Intelligent control; Multiagent systems; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1342242
  • Filename
    1342242