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Metaheuristic methods based on Tabu search for assigning judges to competitions

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  • Amina Lamghari
  • Jacques Ferland

Abstract

Two metaheuristic methods based on Tabu search are introduced to assign judges to individual competitions in a tournament. The complexity of the mathematical formulation accounting for the assignment rules, leads us to use such an approach. The first metaheuristic includes two different Tabu searches that are combined with a diversification strategy. The second metaheuristic is applied to a penalized version of the original model formulated as an assignment problem. This metaheuristic is also based on a Tabu search procedure including a diversification strategy driven by the constraints violated. Numerical results are provided to indicate the efficiency of the methods to generate very good solutions. Copyright Springer Science+Business Media, LLC 2010

Suggested Citation

  • Amina Lamghari & Jacques Ferland, 2010. "Metaheuristic methods based on Tabu search for assigning judges to competitions," Annals of Operations Research, Springer, vol. 180(1), pages 33-61, November.
    • Handle: RePEc:spr:annopr:v:180:y:2010:i:1:p:33-61:10.1007/s10479-008-0498-8
    DOI: 10.1007/s10479-008-0498-8
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    1. James R. Evans, 1988. "A Microcomputer-Based Decision Support System for Scheduling Umpires in the American Baseball League," Interfaces, INFORMS, vol. 18(6), pages 42-51, December.
    2. Dario Landa-Silva & Edmund K. Burke, 2007. "Asynchronous Cooperative Local Search for the Office-Space-Allocation Problem," INFORMS Journal on Computing, INFORMS, vol. 19(4), pages 575-587, November.
    3. Hansen, Pierre & Mladenovic, Nenad, 2001. "Variable neighborhood search: Principles and applications," European Journal of Operational Research, Elsevier, vol. 130(3), pages 449-467, May.
    4. Bhadury, Joyendu & Mighty, E. Joy & Damar, Hario, 2000. "Maximizing workforce diversity in project teams: a network flow approach," Omega, Elsevier, vol. 28(2), pages 143-153, April.
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    1. Lamghari, Amina & Ferland, Jacques A., 2011. "Assigning judges to competitions of several rounds using Tabu search," European Journal of Operational Research, Elsevier, vol. 210(3), pages 694-705, May.

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