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An algorithm for the capacitated vehicle routing problem with route balancing

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  • István Borgulya

Abstract

In this paper, we present a multi-objective evolutionary algorithm for the capacitated vehicle routing problem with route balancing. The algorithm is based on a formerly developed multi-objective algorithm using an explicit collective memory method, namely the extended virtual loser (EVL). We adapted and improved the algorithm and the EVL method for this problem. We achieved good results with this simple technique. In case of this problem the quality of the results of the algorithm is similar to that of other evolutionary algorithms. Copyright Springer-Verlag 2008

Suggested Citation

  • István Borgulya, 2008. "An algorithm for the capacitated vehicle routing problem with route balancing," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 16(4), pages 331-343, December.
    • Handle: RePEc:spr:cejnor:v:16:y:2008:i:4:p:331-343
    DOI: 10.1007/s10100-008-0062-2
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    References listed on IDEAS

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    1. J Berger & M Barkaoui, 2003. "A new hybrid genetic algorithm for the capacitated vehicle routing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(12), pages 1254-1262, December.
    2. Rita Ribeiro & Helena Ramalhinho-Lourenço, 2001. "A multi-objective model for a multi-period distribution management problem," Economics Working Papers 532, Department of Economics and Business, Universitat Pompeu Fabra.
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    Cited by:

    1. Lehuédé, Fabien & Péton, Olivier & Tricoire, Fabien, 2020. "A lexicographic minimax approach to the vehicle routing problem with route balancing," European Journal of Operational Research, Elsevier, vol. 282(1), pages 129-147.
    2. Petr Kučera, 2012. "Different versions of the savings method for the time limited vehicle routing problem," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 60(7), pages 171-178.
    3. Rodrigo Linfati & Fernando Yáñez-Concha & John Willmer Escobar, 2022. "Mathematical Models for the Vehicle Routing Problem by Considering Balancing Load and Customer Compactness," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    4. Halvorsen-Weare, Elin E. & Savelsbergh, Martin W.P., 2016. "The bi-objective mixed capacitated general routing problem with different route balance criteria," European Journal of Operational Research, Elsevier, vol. 251(2), pages 451-465.
    5. 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.

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