Abstract
Several studies have considered metaheuristics, especially simulated annealing, for solving combinatorial optimization problems involving several objectives. Yet, few works have been devoted to tabu search approaches. In this paper, we present a heuristic based upon tabu search principles to generate a good approximation of the set of the Pareto-optimal (efficient) solutions.
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© 1997 Springer-Verlag Berlin Heidelberg
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Gandibleux, X., Mezdaoui, N., Fréville, A. (1997). A Tabu Search Procedure to Solve MultiObjective Combinatorial Optimization Problems. In: Caballero, R., Ruiz, F., Steuer, R. (eds) Advances in Multiple Objective and Goal Programming. Lecture Notes in Economics and Mathematical Systems, vol 455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46854-4_32
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DOI: https://doi.org/10.1007/978-3-642-46854-4_32
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