• DocumentCode
    3507755
  • Title

    Research on an approach of the distributed jobshop scheduling basing on multi-agent

  • Author

    Zhou, Qinghua ; Zhang, Yuxian ; Yang, Ping

  • Author_Institution
    Manage. Sch., Guilin Univ. of Electron. Technol., Guilin
  • Volume
    2
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    2969
  • Lastpage
    2972
  • Abstract
    Based on the intelligent and agile characteristics of a multi-agents system and the optimization 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
    distribution strategy; dynamic scheduling; genetic algorithms; job shop scheduling; multi-agent systems; distributed jobshop scheduling; dynamic scheduling; genetic algorithm; multiagent negotiation; multiagent system; optimization capacity; distributed scheduling system; genetic algorithm; multi-agent; negotiation mechanism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2012-4
  • Electronic_ISBN
    978-1-4244-2013-1
  • Type

    conf

  • DOI
    10.1109/SOLI.2008.4683043
  • Filename
    4683043