• DocumentCode
    437458
  • Title

    Evolution of a multi-agent system with distributed multi-level memory

  • Author

    Tavassoli, Babak ; Lucas, Caro

  • Author_Institution
    Dept. of ECE, Tehran Univ., Iran
  • Volume
    1
  • fYear
    2004
  • fDate
    1-3 Dec. 2004
  • Firstpage
    59
  • Abstract
    Conceptually, one of the important applications of evolutionary algorithms is in the field of multiagent systems. But the agents can not always act as the members of an evolutionary algorithm generation and elaborated solutions for mapping these different concepts are needed. In this paper a memory-like structure is proposed for the agents to increase the efficiency of an evolving multiagent system. Then the idea is applied to a group of mobile robots for object displacement where simulation results show the efficiency of the proposed idea.
  • Keywords
    distributed processing; genetic algorithms; mobile robots; multi-agent systems; distributed multilevel memory; evolutionary algorithm; genetic algorithm; memory-like structure; mobile robot; multiagent system; Control design; Control systems; Evolutionary computation; Genetic algorithms; Genetic programming; Intelligent control; Mobile robots; Multiagent systems; Path planning; Process control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems, 2004 IEEE Conference on
  • Print_ISBN
    0-7803-8643-4
  • Type

    conf

  • DOI
    10.1109/ICCIS.2004.1460387
  • Filename
    1460387