Abstract
This paper presents a hybrid tabu search strategy for lot sizing problems. This strategy allows the exploitation of the quality of the well-known relax-and-fix heuristic, inside a tabu search framework which enforces diversity.
The computational results show an advantage of this strategy when compared to a version of the relax-and-fix heuristic and to time constrained branch-and-bound.
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Pedroso, J.P., Kubo, M. (2005). Hybrid Tabu Search for Lot Sizing Problems. In: Blesa, M.J., Blum, C., Roli, A., Sampels, M. (eds) Hybrid Metaheuristics. HM 2005. Lecture Notes in Computer Science, vol 3636. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11546245_7
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DOI: https://doi.org/10.1007/11546245_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28535-9
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