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Fine-tuning a parametric Clarke and Wright heuristic by means of EAGH (empirically adjusted greedy heuristics)

Author

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  • A Corominas

    (Institute of Industrial and Control Engineering, Universitat Politècnica de Catalunya (UPC))

  • A García-Villoria

    (Institute of Industrial and Control Engineering, Universitat Politècnica de Catalunya (UPC))

  • R Pastor

    (Institute of Industrial and Control Engineering, Universitat Politècnica de Catalunya (UPC))

Abstract

Altınel and Öncan (2005) (A new enhancement of the Clarke and Wright savings heuristic for the capacitated vehicle routing problem) proposed a parametric Clarke and Wright heuristic to solve the capacitated vehicle routing problem (CVRP). The performance of this parametric heuristic is sensitive to fine-tuning. Antinel and Öncan used an enumerative parameter-setting approach and improved on the results obtained with the original Clarke and Wright heuristic, but their approach requires much more computation time to solve an instance. Battarra et al (2008) (Tuning a parametric Clarke–Wright heuristic through a genetic algorithm) proposed a genetic algorithm to set the parameter values. They succeeded in reducing the time needed to solve an instance, but the quality of the solution was slightly worse. In this paper, we propose to use the EAGH (empirically adjusted greedy heuristics) procedure to set the parameter values. A computational experiment shows the efficiency of EAGH; in an even shorter time, we improve on the best results obtained with any parametric Clarke and Wright heuristic method proposed in the literature.

Suggested Citation

  • A Corominas & A García-Villoria & R Pastor, 2010. "Fine-tuning a parametric Clarke and Wright heuristic by means of EAGH (empirically adjusted greedy heuristics)," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(8), pages 1309-1314, August.
    • Handle: RePEc:pal:jorsoc:v:61:y:2010:i:8:d:10.1057_jors.2009.89
    DOI: 10.1057/jors.2009.89
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    References listed on IDEAS

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    1. Paessens, H., 1988. "The savings algorithm for the vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 34(3), pages 336-344, March.
    2. G. Clarke & J. W. Wright, 1964. "Scheduling of Vehicles from a Central Depot to a Number of Delivery Points," Operations Research, INFORMS, vol. 12(4), pages 568-581, August.
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    Cited by:

    1. Yuan Zhang & Yu Yuan & Kejing Lu, 2020. "RETRACTED ARTICLE: E-commerce information system data analytics by advanced ACO for asymmetric capacitated vehicle delivery routing," Information Systems and e-Business Management, Springer, vol. 18(4), pages 911-929, December.

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