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A branch-cut-and-price algorithm for the generalized vehicle routing problem

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  • Mohammad Reihaneh
  • Ahmed Ghoniem

Abstract

We develop a branch-cut-and-price algorithm for the generalized vehicle routing problem (GVRP)—a variant of the vehicle routing problem where customers are partitioned into mutually exclusive clusters. The decision-maker seeks to determine minimum cost routes using a limited number of vehicles such that every cluster is visited by exactly one route, and within any cluster a single customer is visited, subject to vehicle capacity constraints. The pricing subproblem is solved using a specialized dynamic programming algorithm. Computational results show that the proposed algorithm compares favorably against a state-of-the-art branch-and-cut algorithm and solves to optimality eight previously open GVRP instances in the literature.

Suggested Citation

  • Mohammad Reihaneh & Ahmed Ghoniem, 2018. "A branch-cut-and-price algorithm for the generalized vehicle routing problem," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(2), pages 307-318, February.
  • Handle: RePEc:taf:tjorxx:v:69:y:2018:i:2:p:307-318
    DOI: 10.1057/s41274-017-0231-6
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    Cited by:

    1. Yuan, Yuan & Cattaruzza, Diego & Ogier, Maxime & Semet, Frédéric & Vigo, Daniele, 2021. "A column generation based heuristic for the generalized vehicle routing problem with time windows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    2. Reihaneh, Mohammad & Ansari, Sina & Farhadi, Farbod, 2023. "Patient appointment scheduling at hemodialysis centers: An exact branch and price approach," European Journal of Operational Research, Elsevier, vol. 309(1), pages 35-52.

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