Groupe d’études et de recherche en analyse des décisions


A Tabu Search Algorithm for the Split Delivery Vehicle Routing Problem

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We describe a tabu search algorithm for the vehicle routing problem with split deliveries. At each iteration, a neighbour solution is obtained by removing a customer from a set of routes where it is currently visited, and by inserting it either into a new route, or into an existing route which 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.

, 18 pages