A unified exact method for solving different classes of vehicle routing problems

Roberto Baldacci*, Aristide Mingozzi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

196 Citations (Scopus)

Abstract

This paper presents a unified exact method for solving an extended model of the well-known Capacitated Vehicle Routing Problem (CVRP), called the Heterogenous Vehicle Routing Problem (HVRP), where a mixed fleet of vehicles having different capacities, routing and fixed costs is used to supply a set of customers. The HVRP model considered in this paper contains as special cases: the Single Depot CVRP, all variants of the HVRP presented in the literature, the Site-Dependent Vehicle Routing Problem (SDVRP) and the Multi-Depot Vehicle Routing Problem (MDVRP). This paper presents an exact algorithm for the HVRP based on the set partitioning formulation. The exact algorithm uses three types of bounding procedures based on the LP-relaxation and on the Lagrangean relaxation of the mathematical formulation. The bounding procedures allow to reduce the number of variables of the formulation so that the resulting problem can be solved by an integer linear programming solver. Extensive computational results over the main instances from the literature of the different variants of HVRPs, SDVRP and MDVRP show that the proposed lower bound is superior to the ones presented in the literature and that the exact algorithm can solve, for the first time ever, several test instances of all problem types considered.

Original languageEnglish
Pages (from-to)347-380
Number of pages34
JournalMathematical Programming
Volume120
Issue number2
DOIs
Publication statusPublished - Sept 2009
Externally publishedYes

Keywords

  • Dual ascent
  • Dynamic programming
  • Set partitioning
  • Vehicle routing

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