A Comparison of Traditional and Constraint-based HeuristicMethods on Vehicle Routing Problems with Side Constraints

  • Authors:
  • Philip Kilby;Patrick Prosser;Paul Shaw

  • Affiliations:
  • CSIRO MIS, GPO Box 664, Canberra ACT 2601, Australia;Department of Computer Science, University of Strathclyde, Glasgow, Scotland;ILOG S.A., BP 85, 9 rue de Verdun, 94253 Gentilly Cedex, France

  • Venue:
  • Constraints
  • Year:
  • 2000

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Abstract

The vehicle routing problem (VRP) is a variantof the familiar travelling salesperson problem (TSP). In theVRP we are to perform a number of visits, using a number of vehiclesof limited capacity, while typically minimizing the distancetravelled. VRPs can be complicated by imposing time windows ordeadlines on visits, sequencing constraints between visits, andso on. In this paper, we use a constraint-based toolkit for solvingvehicle routing problems to study the effect of different heuristictechniques. We investigate the performance of a number of constructionand improvement techniques, and show that as the size of thesolution space is decreased through addition of side constraints,certain conventional techniques fail while constraint directedtechniques continue to perform acceptably. This suggests thatconstraint programming techniques are particularly suited toVRPs with side constraints.