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A Genetic Algorithm for the Multi-Compartment Vehicle Routing Problem with Flexible Compartment Sizes

Author

Listed:
  • Henriette Koch

    (Department of Management Science, Otto-von-Guericke University Magdeburg)

  • Tino Henke

    (Department of Management Science, Otto-von-Guericke University Magdeburg)

  • Gerhard Wäscher

    (Department of Management Science, Otto-von-Guericke University Magdeburg; School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University)

Abstract

In this paper, a genetic algorithm for the multi-compartment vehicle routing problem with continuously flexible compartment sizes is proposed. In this problem, supplies of several product types have to be collected from customer locations and transported to a depot at minimal cost. In order to avoid mixing of different product types which are transported in the same vehicle, the vehicle’s capacity can be separated into a limited number of compartments. The size of each compartment can be selected arbitrarily within the limits of the vehicle’s capacity, and in each compartment one or several supplies of the same product type can be transported. For solving this problem, a genetic algorithm is presented. The performance of the proposed algorithm is evaluated by means of extensive numerical experiments. Furthermore, the economic benefits of using continuously flexible compartments are investigated.

Suggested Citation

  • Henriette Koch & Tino Henke & Gerhard Wäscher, 2016. "A Genetic Algorithm for the Multi-Compartment Vehicle Routing Problem with Flexible Compartment Sizes," FEMM Working Papers 160004, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    • Handle: RePEc:mag:wpaper:160004
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    References listed on IDEAS

    as
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    Citations

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    Cited by:

    1. Tino Henke & M. Grazia Speranza & Gerhard Wäscher, 2019. "A branch-and-cut algorithm for the multi-compartment vehicle routing problem with flexible compartment sizes," Annals of Operations Research, Springer, vol. 275(2), pages 321-338, April.
    2. Martins, Sara & Ostermeier, Manuel & Amorim, Pedro & Hübner, Alexander & Almada-Lobo, Bernardo, 2019. "Product-oriented time window assignment for a multi-compartment vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 276(3), pages 893-909.
    3. Ostermeier, Manuel & Hübner, Alexander, 2018. "Vehicle selection for a multi-compartment vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 269(2), pages 682-694.
    4. Heßler, Katrin, 2021. "Exact algorithms for the multi-compartment vehicle routing problem with flexible compartment sizes," European Journal of Operational Research, Elsevier, vol. 294(1), pages 188-205.
    5. Tino Henke & Grazia Speranza & Gerhard Wäscher, 2017. "A Branch-and-Cut Algorithm for the Multi Compartment vehicle Routing Problem with Flexbile Compartment Sizes," FEMM Working Papers 170004, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    6. Frank, Markus & Ostermeier, Manuel & Holzapfel, Andreas & Hübner, Alexander & Kuhn, Heinrich, 2021. "Optimizing routing and delivery patterns with multi-compartment vehicles," European Journal of Operational Research, Elsevier, vol. 293(2), pages 495-510.
    7. Katrin Heßler, 2020. "Exact Algorithms for the Multi-Compartment Vehicle Routing Problem with Flexible Compartment Sizes," Working Papers 2007, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    8. Manuel Ostermeier & Sara Martins & Pedro Amorim & Alexander Hübner, 2018. "Loading constraints for a multi-compartment vehicle routing problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(4), pages 997-1027, October.

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    More about this item

    Keywords

    vehicle routing; multiple compartments; genetic algorithm; heuristics;
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