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A relax-and-repair heuristic for the Swap-Body Vehicle Routing Problem

Author

Listed:
  • Nabil Absi

    (Ecole des Mines de Saint-Etienne)

  • Diego Cattaruzza

    (Ecole des Mines de Saint-Etienne
    Univ. Lille)

  • Dominique Feillet

    (Ecole des Mines de Saint-Etienne)

  • Sylvain Housseman

    (Ecole des Mines de Saint-Etienne)

Abstract

In this paper we address the Swap-Body Vehicle Routing Problem (SB-VRP), a variant of the truck and trailer routing problem. It was introduced in the VeRoLog Challenge 2014. We develop a solution approach that we coin Relax-and-Repair. It consists in solving a relaxed version of the SB-VRP and deriving a feasible solution by repairing the relaxed one. We embed this approach within a population-based heuristic. During computation we store all feasible routes in order to derive better solutions by solving a set-partitioning problem. In order to take advantages of nowadays multi-core machines, our algorithm is designed as a collaborative parallel population-based heuristic. Experimental results show that our relax-and-repair algorithm is very competitive and point the impact of each phase on the quality of the obtained solutions. The advantage of our approach is that it can be adapted to solve complex industrial routing problems.

Suggested Citation

  • Nabil Absi & Diego Cattaruzza & Dominique Feillet & Sylvain Housseman, 2017. "A relax-and-repair heuristic for the Swap-Body Vehicle Routing Problem," Annals of Operations Research, Springer, vol. 253(2), pages 957-978, June.
    • Handle: RePEc:spr:annopr:v:253:y:2017:i:2:d:10.1007_s10479-015-2098-8
    DOI: 10.1007/s10479-015-2098-8
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    References listed on IDEAS

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    1. Thibaut Vidal & Teodor Gabriel Crainic & Michel Gendreau & Nadia Lahrichi & Walter Rei, 2012. "A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems," Operations Research, INFORMS, vol. 60(3), pages 611-624, June.
    2. Gerdessen, Johanna C., 1996. "Vehicle routing problem with trailers," European Journal of Operational Research, Elsevier, vol. 93(1), pages 135-147, August.
    3. Cattaruzza, Diego & Absi, Nabil & Feillet, Dominique & Vidal, Thibaut, 2014. "A memetic algorithm for the Multi Trip Vehicle Routing Problem," European Journal of Operational Research, Elsevier, vol. 236(3), pages 833-848.
    4. Paolo Toth & Daniele Vigo, 2003. "The Granular Tabu Search and Its Application to the Vehicle-Routing Problem," INFORMS Journal on Computing, INFORMS, vol. 15(4), pages 333-346, November.
    5. J-F Cordeau & G Laporte & A Mercier, 2001. "A unified tabu search heuristic for vehicle routing problems with time windows," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(8), pages 928-936, August.
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    Cited by:

    1. Bhoopalam, Anirudh Kishore & Agatz, Niels & Zuidwijk, Rob, 2018. "Planning of truck platoons: A literature review and directions for future research," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 212-228.

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