• DocumentCode
    1570507
  • Title

    Branch genetic algorithm applied to the flexible job shop scheduling problem

  • Author

    Yang, Xiaomei ; Zeng, Jianchao

  • Author_Institution
    Div. of Syst. Simulation & Comput. Application, Taiyuan Heavy Machinery Inst., China
  • Volume
    4
  • fYear
    2004
  • Firstpage
    2850
  • Abstract
    According to the characteristic of flexible job shop scheduling problem, branch genetic algorithm is presented. In view of the branch code method, branch genetic operators are constructed to satisfy the restraint condition of the feasible scheduling. This algorithm not only can avoid the flaw of simple genetic algorithm, but also may indicate the descendants to develop new quality owning to acclimation. The computation results validate the effectiveness of the proposed algorithm.
  • Keywords
    genetic algorithms; job shop scheduling; branch code method; branch genetic algorithm; flexible job shop scheduling problem; Computational modeling; Computer applications; Computer simulation; Genetic algorithms; Job shop scheduling; Machinery; Processor scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1343034
  • Filename
    1343034