A Set-Partitioning-Based Heuristic for the Vehicle Routing Problem

  • Authors:
  • James P. Kelly;Jiefeng Xu

  • Affiliations:
  • -;-

  • Venue:
  • INFORMS Journal on Computing
  • Year:
  • 1999

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Abstract

We develop a generic tabu search heuristic for solving the well-known vehicle routing problem. This algorithm explores the advantages of simple local search and improvement heuristics as well as a complex meta-heuristic. The solutions generated by these heuristics are selected and assembled by a set-partitioning model to produce superior solutions. Computational experience on standard benchmark problems is discussed and comparisons with other up-to-date heuristic methods are provided.