• DocumentCode
    3510279
  • Title

    A Model of Self-Adaptive Task Allocation for Multi-Agents Inspired by Social Insects

  • Author

    Zhuang, Xiaodong ; Yin, Bo

  • Author_Institution
    Electron. & Eng. Dept., Qingdao Univ., Qingdao
  • fYear
    2008
  • fDate
    1-3 Nov. 2008
  • Firstpage
    77
  • Lastpage
    80
  • Abstract
    The bee-ant task allocation method is proposed as a model for multi-agent task allocation, which is inspired by the swarm intelligence mechanism of social insects. The bee-ant task allocation method is a variation of the ant colony optimization, in which the task selection model of honeybees is adopted. Experimental results indicate the adaptability and robustness of the bee-ant task allocation method.
  • Keywords
    multi-agent systems; optimisation; ant colony optimization; bee-ant task allocation; honeybees; multiagent task allocation; self-adaptive task allocation; social insect; swarm intelligence; Ant colony optimization; Artificial intelligence; Automation; Computer science; Educational institutions; Insects; Intelligent networks; Intelligent systems; Particle swarm optimization; Robustness; multi-agent; social insects; swarm intelligence; task allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3391-9
  • Electronic_ISBN
    978-0-7695-3391-9
  • Type

    conf

  • DOI
    10.1109/ICINIS.2008.93
  • Filename
    4683172
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3510279