• DocumentCode
    2744376
  • Title

    The Application of Rule-Based Genetic Algorithm in Job-Shop Production Scheduling

  • Author

    Zhang, Changshuan ; Tu, Haining

  • Author_Institution
    Coll. of Mech. Eng., Nanchang Univ., Nanchang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    5-6 June 2010
  • Firstpage
    20
  • Lastpage
    23
  • Abstract
    The boiler´s processing and assembling shop was taken as the reality physical model in this paper, from which the general job-shop production workshop was abstracted as the simplified model and the scheduling algorithms of job-shop production workshop was lucubrated. Firstly, the model of job-shop production workshop was established; secondly, the scheduling theory and algorithms of production workshop was researched, the optimized goal of reducing component´ s completion time was set up, and the scheduling algorithm conformed to workshop production scheduling was explored; lastly, compound rule-based genetic algorithm was proposes.
  • Keywords
    genetic algorithms; job shop scheduling; job-shop production scheduling; rule-based genetic algorithm; scheduling algorithm; scheduling theory; workshop production scheduling; Boilers; Educational institutions; Genetic algorithms; Heuristic algorithms; Job production systems; Job shop scheduling; Manufacturing; Mathematical model; Mechanical engineering; Scheduling algorithm; Job-shop production; genetic algorithms; workshop production scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-4026-9
  • Type

    conf

  • DOI
    10.1109/CCIE.2010.123
  • Filename
    5491900