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A hybrid population heuristic for the heterogeneous vehicle routing problems

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  • Liu, Shuguang

Abstract

The heterogeneous vehicle routing problem (HVRP) plays an important role in supply chain logistics. Two variants of HVRP are treated in this paper: one with fixed and variable costs (HVRPFD), and the other with only variable cost (HVRPD). A hybrid population heuristic that is able to solve both variants is proposed, in which a population of solutions are progressively evolved by crossovers and local searches. Computational results on a set of eight benchmark test problems from literature show that the proposed heuristic produces excellent solutions in short computing times.

Suggested Citation

  • Liu, Shuguang, 2013. "A hybrid population heuristic for the heterogeneous vehicle routing problems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 54(C), pages 67-78.
    • Handle: RePEc:eee:transe:v:54:y:2013:i:c:p:67-78
    DOI: 10.1016/j.tre.2013.03.010
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    References listed on IDEAS

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    Cited by:

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    3. Rahma Lahyani & Leandro C. Coelho & Jacques Renaud, 2018. "Alternative formulations and improved bounds for the multi-depot fleet size and mix vehicle routing problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 125-157, January.
    4. Koç, Çağrı & Bektaş, Tolga & Jabali, Ola & Laporte, Gilbert, 2016. "Thirty years of heterogeneous vehicle routing," European Journal of Operational Research, Elsevier, vol. 249(1), pages 1-21.
    5. Du, Jia Yan & Brunner, Jens O. & Kolisch, Rainer, 2014. "Planning towing processes at airports more efficiently," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 293-304.
    6. Xiaodan Wu & Ruichang Li & Chao-Hsien Chu & Richard Amoasi & Shan Liu, 2022. "Managing pharmaceuticals delivery service using a hybrid particle swarm intelligence approach," Annals of Operations Research, Springer, vol. 308(1), pages 653-684, January.

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