• DocumentCode
    176966
  • Title

    Genetic algorithm based scheduling model of continuous casting crystallizer copper electroplating

  • Author

    Zhen Zhao ; Haihong Wang ; Naiping Hu

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Qingdao Univ. of Sci. & Technol., Qingdao, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    4465
  • Lastpage
    4468
  • Abstract
    According to the bottleneck process- copper electroplating of the repair process for continuous casting crystallizer copper, a genetic algorithm is designed to solve its scheduling problem, including the coding, the decoding, the crossover and mutation. Through the analysis of simulation experiments, compared with the use of the manual mode and the heuristic algorithm, the genetic algorithm shows a better performance. Finally, the algorithm is applied to the practical production scheduling, and obtains a good application effect.
  • Keywords
    casting; copper; electroplating; genetic algorithms; maintenance engineering; scheduling; continuous casting; crystallizer copper electroplating; genetic algorithm; heuristic algorithm; production scheduling; repair process; scheduling model; Algorithm design and analysis; Billets; Copper; Crystallizers; Genetic algorithms; Heuristic algorithms; Scheduling; Genetic Algorithm; copper; electroplate; scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852967
  • Filename
    6852967