A Unified Framework for Routing Problems with a Fixed Fleet Size

Stefanie Kritzinger, Fabien Tricoire, Karl F. Doerner, Richard F. Hartl, Thomas Stützle

Research output: Contribution to journalArticlepeer-review

Abstract

Vehicle routing problems constitute the core of many operations research efforts. Early studies introduced tailor-made solutions for each variant of a vehicle routing problem, but unified frameworks have emerged more recently. These approaches typically generalise across many vehicle routing problems and implement a method for tackling the generalised problem. In line with this, this research proposes a generic method for solving several fixed fleet vehicle routing problems - capacitated vehicle routing, open vehicle routing, vehicle routing with soft and hard time windows, open vehicle routing with soft and hard time windows, and time-dependent vehicle routing with soft and hard time windows - by transforming them into a time-dependent vehicle routing problem with soft time windows, solved by a variable neighbourhood search using a unique parameter setting, regardless of the original problem. Computational tests using standard benchmark instances from prior literature show that genericity does not come at the expense of solution quality. Moreover, the algorithm yields competitive results and some new best known solutions are obtained for the vehicle routing problem with soft time windows, the open vehicle routing problem with hard time windows, and time-dependent vehicle routing problem with hard time windows.
Original languageEnglish
Pages (from-to)160-209
Number of pages49
JournalInternational Journal of Metaheuristics
Volume6
Issue number3
DOIs
Publication statusPublished - Jun 2017

Fields of science

  • 502028 Production management
  • 502052 Business administration
  • 502012 Industrial management
  • 502017 Logistics

JKU Focus areas

  • Social and Economic Sciences (in general)

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