• DocumentCode
    1634482
  • Title

    Minimizing total flow time in permutation flow shop scheduling with improved simulated annealing

  • Author

    Chakraborty, Uday K.

  • Author_Institution
    Dept. of Math & Comput. Sci., Univ. of Missouri, St. Louis, MO
  • fYear
    2009
  • Firstpage
    158
  • Lastpage
    165
  • Abstract
    For the past two decades simulated annealing has been playing a crucial role in the design of optimization strategies for flow shop scheduling applications. This paper presents an efficient simulated annealing algorithm for minimizing the total flow time in permutation flow shop scheduling problems. Empirical results demonstrate the improvement in solution quality obtained by the proposed approach over state-of-the-art methods in the literature.
  • Keywords
    flow shop scheduling; minimisation; simulated annealing; flow time minimisation; optimization strategy; permutation flow shop scheduling; simulated annealing; Computer science; Design optimization; Job design; Job shop scheduling; Processor scheduling; Production control; Production planning; Production systems; Scheduling algorithm; Simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2009. CEC '09. IEEE Congress on
  • Conference_Location
    Trondheim
  • Print_ISBN
    978-1-4244-2958-5
  • Electronic_ISBN
    978-1-4244-2959-2
  • Type

    conf

  • DOI
    10.1109/CEC.2009.4982943
  • Filename
    4982943