• DocumentCode
    3506925
  • Title

    Studies on Selecting Partners of Enterprise Dynamic Alliance Based on Evolutionary Multi-Agent Techniques

  • Author

    Li, Xiaojun

  • Author_Institution
    Coll. of Comput. & Inf. Eng., Zhejiang Gongshang Univ., Hangzhou
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    4736
  • Lastpage
    4739
  • Abstract
    Selecting partners of the manufacturing enterprise dynamic alliance is a problem of multi-objective optimization. There are some difficulties when traditional algorithm is used to solve multi-objective optimization. Therefore, a newly developed multi-agent technique was introduced to solve multi-objective optimization, and is combined with genetic algorithm to form evolutional multi-agent. The problem of multi-objective optimization of the selecting partners was solved by using evolutional multi-agent technique.
  • Keywords
    corporate modelling; genetic algorithms; multi-agent systems; enterprise dynamic alliance; evolutionary multiagent technique; genetic algorithm; multiobjective optimization; partner selection; Artificial intelligence; Computer aided manufacturing; Costs; Customer satisfaction; Delay; Design optimization; Educational institutions; Genetic algorithms; Intelligent robots; Logistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.1163
  • Filename
    4340938