A hybrid variable neighborhood tabu search heuristic for the vehicle routing problem with multiple time windows

  • Slim Belhaiza*
  • , Pierre Hansen
  • , Gilbert Laporte
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

150 Scopus citations

Abstract

This paper presents a new hybrid variable neighborhood-tabu search heuristic for the Vehicle Routing Problem with Multiple Time windows. It also proposes a minimum backward time slack algorithm applicable to a multiple time windows environment. This algorithm records the minimum waiting time and the minimum delay during route generation and adjusts the arrival and departure times backward. The implementation of the proposed heuristic is compared to an ant colony heuristic on benchmark instances involving multiple time windows. Computational results on newly generated instances are provided.

Original languageEnglish
Pages (from-to)269-281
Number of pages13
JournalComputers and Operations Research
Volume52
DOIs
StatePublished - 1 Dec 2014

Bibliographical note

Publisher Copyright:
© 2013 Elsevier Ltd. All rights reserved.

Keywords

  • Multiple time windows
  • Tabu search
  • Variable neighborhood search
  • Vehicle routing problem

ASJC Scopus subject areas

  • General Computer Science
  • Modeling and Simulation
  • Management Science and Operations Research

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