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In this paper we present a classi cation of parallel tabu search metaheuristics based, on the one hand, on the control and communication strategies used in the design of the parallel tabu search procedures and, on the other hand, on how the search space is partitionned. These criteria are then used to review the parallel tabu search implementations described in the literature. The taxonomy is further illustrated by the results of several parallelization implementations of a tabu search procedure for multicommodity location-allocation problems with balancing requirements.

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We first present a new service network design model for freight consolidation carriers, one that both routes commodities and the resources needed to transport them while explicitly recognizing that there are limits on how many resources are available at each terminal. We next present a solution approach that combines column generation, meta-heuristic, and exact optimization techniques to produce high-quality solutions. We demonstrate the efficacy of the approach with an extensive computational study and benchmark its performance against a leading commercial solver.

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