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We study the problem of designing a set of highly profitable freight routes in a railway corridor, taking into account the level of service requested by different goods; in particular, the profit achieved by transporting a good is a nonlinear function of the associated travel time. We propose an ILP model that is solved heuristically by column generation and fixing techniques. Computational results on a real corridor crossing 11 European countries are reported, showing that we can find solutions that are provably close to optimal. Given the large size of our instances, a key issue of our approach is to avoid finding an optimal solution of the continuous relaxation of our model, stopping as soon as near-optimal primal and dual solutions are available.
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Caprara et al. (2011) studied this question.
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