• DocumentCode
    685188
  • Title

    Resolution of the F2||Σtj scheduling problem by genetic algorithm and matheuristic

  • Author

    Quang Chieu, T.A. ; Wang Gen ; Billaut, Jean-Charles ; Bouquard, Jean-Louis

  • Author_Institution
    LI, Univ. Francois Rabelais de Tours, Tours, France
  • fYear
    2013
  • fDate
    28-30 Oct. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We consider in this paper the two-machine flow-shop scheduling problem with total tardiness minimization. We propose a genetic algorithm and a matheuristic algorithm. Some computational experiments are described and the results show that these methods outperform other existing methods based on truncated branch-and-bound algorithms. Some future research directions are given, both in terms of evaluation and of resolution method.
  • Keywords
    flow shop scheduling; genetic algorithms; tree searching; F2||Σtj scheduling problem; computational experiments; evaluation method; genetic algorithm; matheuristic algorithm; resolution method; total tardiness minimization; truncated branch-and-bound algorithms; two-machine flow-shop scheduling problem; Computers; Genetic algorithms; Operations research; Processor scheduling; Scheduling; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Systems Management (IESM), Proceedings of 2013 International Conference on
  • Conference_Location
    Rabat
  • Type

    conf

  • Filename
    6761431