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We propose a hybrid approach for multi-objective assignment problem which combines genetic algorithm and mathematical programming techniques. This method is based on the dominance cost variant of the multi-objective genetic algorithm hybridized with exact method. The initial population is generated by solving a series of mono-objective assignment problems obtained by a suitable choice of a set of...
We address a variant of the Location Routing Problem (LRP) where vehicles can perform several routes in the same planning period and both depots and vehicles have capacities. This problem represents a combination of two NP-hard problems: a vehicle routing problem, which determines the optimal set of routes to fulfill the demands of a set of customers, and a location problem, as the depots from which...
In this paper, we address to the multi-item capacitated lot-sizing problem with production time windows and setup times under the non-customer specific case. This problem is known to be NP-hard. Two cooperative approaches are proposed for solving this problem by combining mathematical programming and metaheuristics based on a decomposition scheme. The algorithms use simultaneously the mathematical...
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