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A Branch-and-Cut Algorithm for the Soft-Clustered Vehicle-Routing Problem

Author

Listed:
  • Katrin Heßler

    (Johannes Gutenberg-University Mainz, Germany)

  • Stefan Irnich

    (Johannes Gutenberg University Mainz)

Abstract

The soft-clustered vehicle-routing problem is a variant of the classical capacitated vehicle-routing problem (CVRP) in which customers are partitioned into clusters and all customers of the same cluster must be served by the same vehicle. We introduce a novel symmetric formulation of the problem in which the clustering part is modeled with an asymmetric sub-model. We solve the new model with a branch-and-cut algorithm exploiting some known valid inequalities for the CVRP that can be adapted. In addition, we derive problem-specific cutting planes and new heuristic and exact separation procedures. For square grid instances in the Euclidean plane, we provide lower-bounding techniques and a reduction scheme that is also applicable to the respective traveling salesman problem. In comprehensive computational test on standard benchmark instances, we compare the different formulations and separation strategies in order to determine a best performing algorithmic setup. The computational results with this branch-and-cut algorithm show that several previously open instances can now be solved to proven optimality.

Suggested Citation

  • Katrin Heßler & Stefan Irnich, 2020. "A Branch-and-Cut Algorithm for the Soft-Clustered Vehicle-Routing Problem," Working Papers 2001, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
  • Handle: RePEc:jgu:wpaper:2001
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    File URL: https://download.uni-mainz.de/RePEc/pdf/Discussion_Paper_2001.pdf
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    References listed on IDEAS

    as
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    6. Hintsch, Timo & Irnich, Stefan, 2020. "Exact solution of the soft-clustered vehicle-routing problem," European Journal of Operational Research, Elsevier, vol. 280(1), pages 164-178.
    7. Timo Hintsch, 2019. "Large Multiple Neighborhood Search for the Soft-Clustered Vehicle-Routing Problem," Working Papers 1904, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    8. Matteo Fischetti & Juan José Salazar González & Paolo Toth, 1997. "A Branch-and-Cut Algorithm for the Symmetric Generalized Traveling Salesman Problem," Operations Research, INFORMS, vol. 45(3), pages 378-394, June.
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    Keywords

    vehicle routing; clustered customers; branch-and-cut;
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