Optimal solution of vehicle routing problems with fractional objective function

Roberto Baldacci, Andrew Lim, Emiliano Traversi, Roberto Wolfler Calvoc

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

In this paper, we consider the vehicle routing problem (VRP) with fractional objective function. We investigate how the principal techniques used either in the context of fractional programming or in the context of vehicle routing problems interact. We present new dual and primal bounding procedures that have been incorporated in an exact method. The method proposed allows extending specific variants of the VRP to their counterpart with a fractional objective function. Extensive numerical experiments prove the validity of our approach.

Original languageEnglish
Pages (from-to)434-452
Number of pages19
JournalTransportation Science
Volume54
Issue number2
DOIs
Publication statusPublished - 2020
Externally publishedYes

Keywords

  • Fractional
  • Integer
  • Programming
  • Transportation
  • Vehicle routing

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