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A parallelized Lagrangean relaxation approach for the discrete ordered median problem

Author

Listed:
  • Juana L. Redondo

    (Universidad de Almería)

  • Alfredo Marín

    (Universidad de Murcia)

  • Pilar M. Ortigosa

    (Universidad de Almería)

Abstract

We study a flexible discrete location model which has as particular cases the $$p$$ p -median problem, the $$p$$ p -center problem and the $$k$$ k -centrum problem, among many others, called the discrete ordered median problem. A previous formulation is adapted and a Lagrangean relaxation is carried out on this formulation in order to produce lower and upper bounds on the optimal value of the problem. The relaxed problem can be split into several subproblems whose resolution is simultaneously tackled by means of a parallelized algorithm. The results are compared to other methods proposed in the literature for this problem.

Suggested Citation

  • Juana L. Redondo & Alfredo Marín & Pilar M. Ortigosa, 2016. "A parallelized Lagrangean relaxation approach for the discrete ordered median problem," Annals of Operations Research, Springer, vol. 246(1), pages 253-272, November.
    • Handle: RePEc:spr:annopr:v:246:y:2016:i:1:d:10.1007_s10479-014-1744-x
    DOI: 10.1007/s10479-014-1744-x
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    References listed on IDEAS

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    Cited by:

    1. Enrique Domínguez & Alfredo Marín, 2020. "Discrete ordered median problem with induced order," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(3), pages 793-813, October.
    2. Schryen, Guido, 2020. "Parallel computational optimization in operations research: A new integrative framework, literature review and research directions," European Journal of Operational Research, Elsevier, vol. 287(1), pages 1-18.

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