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A multi-start algorithm for a balanced real-world Open Vehicle Routing Problem

Author

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  • López-Sánchez, A.D.
  • Hernández-Díaz, A.G.
  • Vigo, D.
  • Caballero, R.
  • Molina, J.

Abstract

The aim of this paper is to solve a real-world problem proposed by an international company operating in Spain and modeled as a variant of the Open Vehicle Routing Problem in which the makespan, i.e., the maximum time spent on the vehicle by one person, must be minimized. A competitive multi-start algorithm, able to obtain high quality solutions within reasonable computing time is proposed. The effectiveness of the algorithm is analyzed through computational testing on a set of 19 school-bus routing benchmark problems from the literature, and on 9 hard real-world problem instances.

Suggested Citation

  • López-Sánchez, A.D. & Hernández-Díaz, A.G. & Vigo, D. & Caballero, R. & Molina, J., 2014. "A multi-start algorithm for a balanced real-world Open Vehicle Routing Problem," European Journal of Operational Research, Elsevier, vol. 238(1), pages 104-113.
    • Handle: RePEc:eee:ejores:v:238:y:2014:i:1:p:104-113
    DOI: 10.1016/j.ejor.2014.04.008
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    References listed on IDEAS

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    5. R. Martí & J. Marcos Moreno-Vega & A. Duarte, 2010. "Advanced Multi-start Methods," International Series in Operations Research & Management Science, in: Michel Gendreau & Jean-Yves Potvin (ed.), Handbook of Metaheuristics, chapter 0, pages 265-281, Springer.
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    Citations

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    Cited by:

    1. Brandão, José, 2020. "A memory-based iterated local search algorithm for the multi-depot open vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 284(2), pages 559-571.
    2. Naji-Azimi, Zahra & Salari, Majid & Renaud, Jacques & Ruiz, Angel, 2016. "A practical vehicle routing problem with desynchronized arrivals to depot," European Journal of Operational Research, Elsevier, vol. 255(1), pages 58-67.
    3. J. Molina & A. D. López-Sánchez & A. G. Hernández-Díaz & I. Martínez-Salazar, 2018. "A Multi-start Algorithm with Intelligent Neighborhood Selection for solving multi-objective humanitarian vehicle routing problems," Journal of Heuristics, Springer, vol. 24(2), pages 111-133, April.
    4. Jesús Sánchez-Oro & Ana D. López-Sánchez & J. Manuel Colmenar, 2020. "A general variable neighborhood search for solving the multi-objective open vehicle routing problem," Journal of Heuristics, Springer, vol. 26(3), pages 423-452, June.
    5. Dasdemir, Erdi & Testik, Murat Caner & Öztürk, Diclehan Tezcaner & Şakar, Ceren Tuncer & Güleryüz, Güldal & Testik, Özlem Müge, 2022. "A multi-objective open vehicle routing problem with overbooking: Exact and heuristic solution approaches for an employee transportation problem," Omega, Elsevier, vol. 108(C).
    6. Atefi, Reza & Salari, Majid & C. Coelho, Leandro & Renaud, Jacques, 2018. "The open vehicle routing problem with decoupling points," European Journal of Operational Research, Elsevier, vol. 265(1), pages 316-327.
    7. P. Matl & R. F. Hartl & T. Vidal, 2018. "Workload Equity in Vehicle Routing Problems: A Survey and Analysis," Transportation Science, INFORMS, vol. 52(2), pages 239-260, March.
    8. Sze, Jeeu Fong & Salhi, Said & Wassan, Niaz, 2017. "The cumulative capacitated vehicle routing problem with min-sum and min-max objectives: An effective hybridisation of adaptive variable neighbourhood search and large neighbourhood search," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 162-184.

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