Abstract
This paper addresses an extension of the TSP where a vehicle with a limited capacity must transport certain commodities from their origins to their destinations. Each commodity has a weight, and the objective is to find a minimum length Hamiltonian tour satisfying all the transportation requests without ever violating the capacity constraint. We propose for this problem a heuristic approach that combines mathematical programming and metaheuristic techniques. The method is able to improve the best known solutions for a set of instances from the literature in a reasonable amount of computation time.
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Rodríguez-Martín, I., Salazar-González, J.J. (2011). The Multi-Commodity One-to-One Pickup-and-Delivery Traveling Salesman Problem: A Matheuristic. In: Pahl, J., Reiners, T., Voß, S. (eds) Network Optimization. INOC 2011. Lecture Notes in Computer Science, vol 6701. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21527-8_45
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DOI: https://doi.org/10.1007/978-3-642-21527-8_45
Publisher Name: Springer, Berlin, Heidelberg
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