• DocumentCode
    624102
  • Title

    Application of Node Based Coincidence algorithm for flow shop scheduling problems

  • Author

    Srimongkolkul, Ornrumpha ; Chongstitvatana, Prabhas

  • Author_Institution
    Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok, Thailand
  • fYear
    2013
  • fDate
    29-31 May 2013
  • Firstpage
    49
  • Lastpage
    52
  • Abstract
    This work proposes an algorithm called Node Based Coincidence algorithm (NB-COIN) focusing on total flowtime minimization in the permutation flowshop scheduling problems. Many algorithms have been proved to be effective for this problem. However, in the real situation, cost of computation becomes an important factor. NB-COIN produces reasonable solutions using a lot less computation power than other algorithms in consideration. Compared to a number of wellknown algorithms, the results show that NB-COIN is an effective algorithm which generates less than 1.7% different from recently best known solutions from Taillard´s benchmark instances.
  • Keywords
    distributed algorithms; flow shop scheduling; NB-COIN; Taillard benchmark instance; flowtime minimization; node based coincidence algorithm; permutation flow shop scheduling; Estimation; Job shop scheduling; Joints; Processor scheduling; Sociology; Statistics; Coincidence Algorithm; Estimation of Distribution Algorithms; permutation flowshop scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering (JCSSE), 2013 10th International Joint Conference on
  • Conference_Location
    Maha Sarakham
  • Print_ISBN
    978-1-4799-0805-9
  • Type

    conf

  • DOI
    10.1109/JCSSE.2013.6567318
  • Filename
    6567318