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An ILS-biased randomization algorithm for the two-dimensional loading HFVRP with sequential loading and items rotation

Author

Listed:
  • Oscar L Domínguez Rivero

    (University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain)

  • Angel A Juan Pérez

    (IN3—Open University of Catalonia, Barcelona, Spain)

  • Ignacio A de la Nuez Pestana

    (University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain)

  • Djamila Ouelhadj

    (University of Portsmouth, Portsmouth, UK)

Abstract

This paper discusses the Two-dimensional Loading Vehicle Routing Problem with Heterogeneous Fleet, Sequential Loading, and Item Rotation (2L-HFVRP-SR). Despite the fact that the 2L-HFVRP-SR can be found in many real-life situations related to the transportation of voluminous items, where heterogeneity of fleets, two-dimensional packing restrictions, sequential loading, and items rotation have to be considered, this rich version of vehicle routing-and-packing problem has been rarely analysed in the literature. Accordingly, this paper contributes to filling the gap by presenting a relatively simple-to-implement algorithm which is able to provide state-of-the-art solutions for such a complex problem in relatively short computational times. The proposed algorithm integrates inside an Iterated Local Search framework, biased-randomized versions of both vehicle routing and packing heuristics. The efficiency of the proposed algorithm is validated throughout an extensive set of computational tests.

Suggested Citation

  • Oscar L Domínguez Rivero & Angel A Juan Pérez & Ignacio A de la Nuez Pestana & Djamila Ouelhadj, 2016. "An ILS-biased randomization algorithm for the two-dimensional loading HFVRP with sequential loading and items rotation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(1), pages 37-53, January.
    • Handle: RePEc:pal:jorsoc:v:67:y:2016:i:1:p:37-53
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    Citations

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    Cited by:

    1. Carlos A. Vega-Mejía & Jairo R. Montoya-Torres & Sardar M. N. Islam, 2019. "Consideration of triple bottom line objectives for sustainability in the optimization of vehicle routing and loading operations: a systematic literature review," Annals of Operations Research, Springer, vol. 273(1), pages 311-375, February.
    2. Ji, Bin & Zhang, Zheng & Yu, Samson S. & Zhou, Saiqi & Wu, Guohua, 2023. "Modelling and heuristically solving many-to-many heterogeneous vehicle routing problem with cross-docking and two-dimensional loading constraints," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1219-1235.
    3. Zheng Zhang & Bin Ji & Samson S. Yu, 2023. "An Adaptive Tabu Search Algorithm for Solving the Two-Dimensional Loading Constrained Vehicle Routing Problem with Stochastic Customers," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
    4. Juan F. Gomez & Javier Panadero & Rafael D. Tordecilla & Juliana Castaneda & Angel A. Juan, 2022. "A Multi-Start Biased-Randomized Algorithm for the Capacitated Dispersion Problem," Mathematics, MDPI, vol. 10(14), pages 1-20, July.
    5. Arnau, Quim & Barrena, Eva & Panadero, Javier & de la Torre, Rocio & Juan, Angel A., 2022. "A biased-randomized discrete-event heuristic for coordinated multi-vehicle container transport across interconnected networks," European Journal of Operational Research, Elsevier, vol. 302(1), pages 348-362.

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