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New block properties for the permutation flow shop problem with application in tabu search

Author

Listed:
  • J Grabowski

    (Wroclaw University of Technology)

  • J Pempera

    (Wroclaw University of Technology)

Abstract

This paper deals with the classic flow-shop scheduling problem with the make-span criterion. Some new properties of the problem associated with the so-called blocks have been presented and discussed. The properties allow us to skip some non-perspective solutions during the search of the solution space. Applied to local search algorithms, they result in a significant reduction of neighbourhood size and quickly direct the search trajectory to promising regions of the solution space. The implementation of the proposed properties in a tabu search algorithm is also presented. Computational experiments (up to 500 jobs and 20 machines) are given and compared with the results yielded by the best known algorithms.

Suggested Citation

  • J Grabowski & J Pempera, 2001. "New block properties for the permutation flow shop problem with application in tabu search," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(2), pages 210-220, February.
    • Handle: RePEc:pal:jorsoc:v:52:y:2001:i:2:d:10.1057_palgrave.jors.2601055
    DOI: 10.1057/palgrave.jors.2601055
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    Citations

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    Cited by:

    1. Bo Liu & Ling Wang & Ying Liu & Shouyang Wang, 2011. "A unified framework for population-based metaheuristics," Annals of Operations Research, Springer, vol. 186(1), pages 231-262, June.
    2. J M Framinan & J N D Gupta & R Leisten, 2004. "A review and classification of heuristics for permutation flow-shop scheduling with makespan objective," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(12), pages 1243-1255, December.
    3. Smutnicki, Czeslaw & Pempera, Jaroslaw & Bocewicz, Grzegorz & Banaszak, Zbigniew, 2022. "Cyclic flow-shop scheduling with no-wait constraints and missing operations," European Journal of Operational Research, Elsevier, vol. 302(1), pages 39-49.
    4. Ding, Jian-Ya & Song, Shiji & Wu, Cheng, 2016. "Carbon-efficient scheduling of flow shops by multi-objective optimization," European Journal of Operational Research, Elsevier, vol. 248(3), pages 758-771.
    5. Pempera, Jaroslaw & Smutnicki, Czeslaw, 2018. "Open shop cyclic scheduling," European Journal of Operational Research, Elsevier, vol. 269(2), pages 773-781.
    6. W Q Huang & L Wang, 2006. "A local search method for permutation flow shop scheduling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(10), pages 1248-1251, October.

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