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An algorithm for the capacitated vehicle routing problem with route balancing


  • István Borgulya



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

    1. 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. 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.


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