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A Hybrid Strategic Oscillation with Path Relinking Algorithm for the Multiobjective k -Balanced Center Location Problem

Author

Listed:
  • Jesús Sánchez-Oro

    (Computer Science Department, Universidad Rey Juan Carlos, Tulipán s/n, 28933 Móstoles, Madrid, Spain)

  • Ana D. López-Sánchez

    (Economy, Quantitative Methods, and Economic History Department, Universidad Pablo de Olavide, Ctra. de Utrera km 1, 41013 Sevilla, Spain)

  • Anna Martínez-Gavara

    (Statistic and Operational Research Department, Universitat de València, Doctor Moliner, 50, 46100 Burjassot, València, Spain)

  • Alfredo G. Hernández-Díaz

    (Economy, Quantitative Methods, and Economic History Department, Universidad Pablo de Olavide, Ctra. de Utrera km 1, 41013 Sevilla, Spain)

  • Abraham Duarte

    (Computer Science Department, Universidad Rey Juan Carlos, Tulipán s/n, 28933 Móstoles, Madrid, Spain)

Abstract

This paper presents a hybridization of Strategic Oscillation with Path Relinking to provide a set of high-quality nondominated solutions for the Multiobjective k -Balanced Center Location problem. The considered location problem seeks to locate k out of m facilities in order to serve n demand points, minimizing the maximum distance between any demand point and its closest facility while balancing the workload among the facilities. An extensive computational experimentation is carried out to compare the performance of our proposal, including the best method found in the state-of-the-art as well as traditional multiobjective evolutionary algorithms.

Suggested Citation

  • Jesús Sánchez-Oro & Ana D. López-Sánchez & Anna Martínez-Gavara & Alfredo G. Hernández-Díaz & Abraham Duarte, 2021. "A Hybrid Strategic Oscillation with Path Relinking Algorithm for the Multiobjective k -Balanced Center Location Problem," Mathematics, MDPI, vol. 9(8), pages 1-21, April.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:8:p:853-:d:535708
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    References listed on IDEAS

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