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A priority list based heuristic for the job shop problem: part 2 tabu search

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  • Paul M E Shutler

    (Nanyang Technological University)

Abstract

Following a recent paper by the same author, a priority list-based tabu search heuristic is compared with the leading schedule-based tabu search heuristic of Nowicki and Smutnicki. More search neighbourhoods are required to achieve a given average makespan, but each priority list neighbourhood is searched much faster than the corresponding neighbourhood in the space of feasible schedules. Priority list-based tabu search therefore outperforms schedule-based tabu search in terms of elapsed CPU time.

Suggested Citation

  • Paul M E Shutler, 2004. "A priority list based heuristic for the job shop problem: part 2 tabu search," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(7), pages 780-784, July.
  • Handle: RePEc:pal:jorsoc:v:55:y:2004:i:7:d:10.1057_palgrave.jors.2601757
    DOI: 10.1057/palgrave.jors.2601757
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    References listed on IDEAS

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    1. Taillard, E., 1993. "Benchmarks for basic scheduling problems," European Journal of Operational Research, Elsevier, vol. 64(2), pages 278-285, January.
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    4. Eugeniusz Nowicki & Czeslaw Smutnicki, 1996. "A Fast Taboo Search Algorithm for the Job Shop Problem," Management Science, INFORMS, vol. 42(6), pages 797-813, June.
    5. R. J. M. Vaessens & E. H. L. Aarts & J. K. Lenstra, 1996. "Job Shop Scheduling by Local Search," INFORMS Journal on Computing, INFORMS, vol. 8(3), pages 302-317, August.
    6. P M E Shutler, 2003. "A priority list based heuristic for the job shop problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(6), pages 571-584, June.
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    Cited by:

    1. G I Zobolas & C D Tarantilis & G Ioannou, 2009. "A hybrid evolutionary algorithm for the job shop scheduling problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(2), pages 221-235, February.

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