A Tabu Search Algorithm for the Split Delivery Vehicle Routing Problem

  • Authors:
  • C. Archetti;M. G. Speranza;A. Hertz

  • Affiliations:
  • Dipartimento Metodi Quantitativi, Universit degli Studi di Brescia, Contrada Santa Chiara 50, 25122 Brescia, Italia;Dipartimento Metodi Quantitativi, Universit degli Studi di Brescia, Contrada Santa Chiara 50, 25122 Brescia, Italia;Dpartement de Mathmatiques et de Gnie Industriel, cole Polytechnique, CP 6079, succ. Centre-ville, Montral, Canada H3C 3A7

  • Venue:
  • Transportation Science
  • Year:
  • 2006

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Abstract

We describe a tabu search algorithm for the vehicle routing problem with split deliveries. At each iteration, a neighbor solution is obtained by removing a customer from a set of routes where it is currently visited and inserting it either into a new route or into an existing route that has enough residual capacity. The algorithm also considers the possibility of inserting a customer into a route without removing it from another route. The insertion of a customer into a route is done by means of the cheapest insertion method. Computational experiments are reported for a set of benchmark problems, and the results are compared with those obtained by the algorithm proposed by Dror and Trudeau.