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Using metaheuristic compromise programming for the solution of multiple-objective scheduling problems

Author

Listed:
  • C Gagné

    (Université du Québec à Chicoutimi)

  • M Gravel

    (Université du Québec à Chicoutimi)

  • W L Price

    (Université Laval)

Abstract

In this paper, we propose a generic approach to find compromise solutions for multiple-objective scheduling problems using metaheuristics. As an illustration, we present a new hybrid tabu search/variable neighbourhood search application of this approach for the solution of a bi-objective scheduling problem. Through numerical experiments we demonstrate its efficiency and effectiveness. We have confirmed that compromise programming with the tabu-VNS metaheuristic generates solutions that approach those of the known reference sets.

Suggested Citation

  • C Gagné & M Gravel & W L Price, 2005. "Using metaheuristic compromise programming for the solution of multiple-objective scheduling problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(6), pages 687-698, June.
    • Handle: RePEc:pal:jorsoc:v:56:y:2005:i:6:d:10.1057_palgrave.jors.2601868
    DOI: 10.1057/palgrave.jors.2601868
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    References listed on IDEAS

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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.
    2. Liang, Yun-Chia & Hsiao, Yu-Ming & Tien, Chia-Yun, 2013. "Metaheuristics for drilling operation scheduling in Taiwan PCB industries," International Journal of Production Economics, Elsevier, vol. 141(1), pages 189-198.
    3. Hanen Akrout & Bassem Jarboui & Patrick Siarry & Abdelwaheb Rebaï, 2012. "A GRASP based on DE to solve single machine scheduling problem with SDST," Computational Optimization and Applications, Springer, vol. 51(1), pages 411-435, January.
    4. Arthur Kramer & Anand Subramanian, 2019. "A unified heuristic and an annotated bibliography for a large class of earliness–tardiness scheduling problems," Journal of Scheduling, Springer, vol. 22(1), pages 21-57, February.
    5. S-W Lin & K-C Ying, 2008. "A hybrid approach for single-machine tardiness problems with sequence-dependent setup times," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(8), pages 1109-1119, August.
    6. Edward Sewell & Jason Sauppe & David Morrison & Sheldon Jacobson & Gio Kao, 2012. "A BB&R algorithm for minimizing total tardiness on a single machine with sequence dependent setup times," Journal of Global Optimization, Springer, vol. 54(4), pages 791-812, December.
    7. Mohamed Anis Allouche, 2010. "Manager’s Preferences Modeling within Multi-Criteria Flowshop Scheduling Problem: A Metaheuristic Approach," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 1(2), pages 33-45, December.
    8. Pierre Hansen & Nenad Mladenović & José Moreno Pérez, 2010. "Variable neighbourhood search: methods and applications," Annals of Operations Research, Springer, vol. 175(1), pages 367-407, March.

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