• DocumentCode
    476008
  • Title

    A result on the quasi-physics and quasi-human algorithm for solving the job shop scheduling problem

  • Author

    Yin, Ai-Hua ; Zhang, Shou-sheng

  • Author_Institution
    UFIDA Software Sch., Jiangxi Univ. of Finance & Econ., Nanchang
  • Volume
    2
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    889
  • Lastpage
    893
  • Abstract
    The job shop scheduling problem with minimizing make-span is discussed. A basic quasi-physics and quasi-human algorithm (BQ&Q) that is a new method for the problem is proposed. The algorithm is based on an elastic model of the problem and the schedule is created by the strategy of quasi-physics and quasi-human. A theorem about the feasibility of BQ&Q is proved, which guarantees that BQ&Q can be used as a very useful basic procedure to design much more effective and efficient heuristic algorithm for the problem.
  • Keywords
    job shop scheduling; heuristic algorithm; job shop scheduling problem; quasi-human algorithm; quasi-physics; Cybernetics; Educational institutions; Finance; Heuristic algorithms; Iterative algorithms; Job shop scheduling; Machine learning; Machine learning algorithms; Manufacturing automation; Scheduling algorithm; Job Shop Scheduling Problem; NP hard; Quasi-Human; Quasi-Physics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620530
  • Filename
    4620530