• DocumentCode
    3428146
  • Title

    Research on the Manufacturing System Production Scheduling Problem Based on the Genetic Algorithm

  • Author

    Shi, Ying

  • Author_Institution
    Sch. of Manage. Sci. & Eng., Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    433
  • Lastpage
    436
  • Abstract
    Scheduling problem of material processing is one of the intellectual scheduling problems and its model is as general as any other practical problem. The current theoretical research result of scheduling problems is mainly about material processing which represents the scheduling problems based on minimum completing time. Genetic Algorithm is a kind of random searching method that imitates creatures´ natural evolution and it has been applied to job shop scheduling in recent years. Taking a job-shop for example, Genetic Algorithm was used to solve the job-shop scheduling problems. The algorithm scheme was proposed, and the proposed genetic algorithm was run. A satisfactory solution could be quickly got.
  • Keywords
    genetic algorithms; job shop scheduling; manufacturing systems; production control; random processes; search problems; genetic algorithm; job shop scheduling; manufacturing system production scheduling; material processing; minimum completing time; random searching method; Algorithm design and analysis; Arrays; Computers; Job shop scheduling; Processor scheduling; genetic algorithm; intellectual scheduling; job-shop scheduling problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8432-4
  • Type

    conf

  • DOI
    10.1109/AICI.2010.211
  • Filename
    5657172