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Mixed integer formulations for the multiple minimum latency problem

Author

Listed:
  • F. Angel-Bello

    (School of Engineering and Science)

  • Y. Cardona-Valdés

    (Universidad Autónoma de Coahuila)

  • A. Álvarez

    (Universidad Autónoma de Nuevo León)

Abstract

In this paper we propose five mathematical formulations for the multiple minimum latency problem. The first three mathematical models are straight derived from classical formulations and from a flow-based formulation to the multiple travelling salesman problem. The last two are obtained as generalizations of time-dependent formulations to the minimum latency problem. We carry out an extensive computational experimentation to evaluate the performance of the proposed models using routing and scheduling instances. These experiments evidence that the time-dependent formulations show a much better performance than the other formulations, regarding to the size of instances that can be solved and the elapsed computational time to reach the optimal solutions. The obtained results suggest to consider the development of time-dependent formulations for other problems that consider the latency as objective function.

Suggested Citation

  • F. Angel-Bello & Y. Cardona-Valdés & A. Álvarez, 2019. "Mixed integer formulations for the multiple minimum latency problem," Operational Research, Springer, vol. 19(2), pages 369-398, June.
  • Handle: RePEc:spr:operea:v:19:y:2019:i:2:d:10.1007_s12351-017-0299-4
    DOI: 10.1007/s12351-017-0299-4
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    References listed on IDEAS

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    1. Gouveia, Luis & Vo[ss], Stefan, 1995. "A classification of formulations for the (time-dependent) traveling salesman problem," European Journal of Operational Research, Elsevier, vol. 83(1), pages 69-82, May.
    2. Silva, Marcos Melo & Subramanian, Anand & Vidal, Thibaut & Ochi, Luiz Satoru, 2012. "A simple and effective metaheuristic for the Minimum Latency Problem," European Journal of Operational Research, Elsevier, vol. 221(3), pages 513-520.
    3. Gerhard Reinelt, 1991. "TSPLIB—A Traveling Salesman Problem Library," INFORMS Journal on Computing, INFORMS, vol. 3(4), pages 376-384, November.
    4. Jean-Claude Picard & Maurice Queyranne, 1978. "The Time-Dependent Traveling Salesman Problem and Its Application to the Tardiness Problem in One-Machine Scheduling," Operations Research, INFORMS, vol. 26(1), pages 86-110, February.
    5. Bektas, Tolga, 2006. "The multiple traveling salesman problem: an overview of formulations and solution procedures," Omega, Elsevier, vol. 34(3), pages 209-219, June.
    6. Vallada, Eva & Ruiz, Rubén, 2011. "A genetic algorithm for the unrelated parallel machine scheduling problem with sequence dependent setup times," European Journal of Operational Research, Elsevier, vol. 211(3), pages 612-622, June.
    7. Samuel Nucamendi-Guillén & Iris Martínez-Salazar & Francisco Angel-Bello & J Marcos Moreno-Vega, 2016. "A mixed integer formulation and an efficient metaheuristic procedure for the k-Travelling Repairmen Problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(8), pages 1121-1134, August.
    8. Imen Ome Ezzine & Sonda Elloumi, 2012. "Polynomial formulation and heuristic based approach for the k-travelling repairman problem," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 4(5), pages 503-514.
    9. Matteo Fischetti & Gilbert Laporte & Silvano Martello, 1993. "The Delivery Man Problem and Cumulative Matroids," Operations Research, INFORMS, vol. 41(6), pages 1055-1064, December.
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