• DocumentCode
    3000254
  • Title

    Approach to the distributed job shop scheduling based on multi-agent

  • Author

    Yu-xian, Zhang ; Lei, Li ; Hong, Wang ; Yan-Yan, Zhao ; Xu, Guo ; Chun-Hua, Meng

  • Author_Institution
    Guilin Univ. of Electron. Technol., Guilin
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    2031
  • Lastpage
    2034
  • Abstract
    Based on the intelligent and agile characteristics of a multi-agents system and the optimizatical capacity of genetic algorithm, a distributed jobshop scheduling method is presented. A multi-agents based model of distributed scheduling system is established, then a distributed scheduling mechanism integrating multi-agents and GA and dynamic scheduling strategies based on multi-agent negotiation are proposed. Finally, a simulation experiment on solving the distributed dynamic scheduling with the methods is given. Simulation results show that the presented scheduling strategy is feasible and effective.
  • Keywords
    distributed processing; dynamic scheduling; genetic algorithms; job shop scheduling; multi-agent systems; distributed job shop scheduling system; dynamic scheduling strategy; genetic algorithm; multiagent system; optimization; Dynamic scheduling; Flexible manufacturing systems; Genetic algorithms; Intelligent agent; Job shop scheduling; Manufacturing processes; Manufacturing systems; Multiagent systems; Optimization methods; Production facilities; Distributed scheduling system; Genetic algorithm; Multi-Agent system; Negotiation mechanism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-2502-0
  • Electronic_ISBN
    978-1-4244-2503-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2008.4636496
  • Filename
    4636496