• DocumentCode
    1699398
  • Title

    Optimum on technological process based on genetic algorithms

  • Author

    Zeng, Ruili ; Xiao, Yunkui ; Zhang, Wei ; Dai, Wenjun ; Mei, Jianmin

  • Author_Institution
    Acad. of Mil. Transp., Tianjin, China
  • fYear
    2010
  • Firstpage
    5181
  • Lastpage
    5185
  • Abstract
    In order to solve some scheduling problems about multi-mission, multi-restriction and re-entrant multi-machine, model of timing Petri net is built, combination of technique on discrete event simulation and simulation algorithms based on dual code is proposed by using genetic algorithms,the optimized scheduling planning about technological process is computed. Maintain technological process of BJ2020 vehicle is optimized by using this method, simulation experimental result shows that maintain efficiency of vehicle can be improved by using this method, and it can be used in technological process in other areas.
  • Keywords
    Petri nets; discrete event simulation; genetic algorithms; production planning; scheduling; BJ2020 vehicle; discrete event simulation; genetic algorithms; scheduling planning; simulation algorithms; technological process; timing Petri net; Algorithm design and analysis; Computational modeling; Discrete event simulation; Process control; Scheduling; Vehicles; Zinc; Petri net; discrete event simulation; genetic algorithms; simulation algorithms based on dual code;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554897
  • Filename
    5554897