Abstract
In this paper we analyse the inventory routing model as described recently by Aghezaff et al. in which the work of each vehicle can be organized in multi-tours: a vehicle comes back to the depot after the delivery of some-sales points and before visiting other sales-points. We propose a grouping genetic algorithm with a specific crossover operator adapted to this model; this algorithm is hybridized at each iteration with a local search. A large number of numerical experiments is done to show the efficiency of the proposed algorithm.