An Exact Approach For The Single Machine Scheduling Problem With Linear Early And Quadratic Tardy Penalties
AbstractIn this paper, we consider the single machine scheduling problem with linear earliness and quadratic tardiness costs, and no machine idle time. We propose a lower bounding procedure based on the relaxation of the jobs' completion times. Optimal branch-and-bound algorithms are then presented. These algorithms incorporate the proposed lower bound, as well as an insertion-based dominance test.The branch-and-bound procedures are tested on a wide set of randomly generated problems. The computational results show that the branch-and-bound algorithms are capable of optimally solving, within reasonable computation times, instances with up to 20 jobs.
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Bibliographic InfoArticle provided by World Scientific Publishing Co. Pte. Ltd. in its journal Asia-Pacific Journal of Operational Research.
Volume (Year): 25 (2008)
Issue (Month): 02 ()
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- Jorge M. S. Valente & Maria R. A. Moreira & Alok Singh & Rui A. F. S. Alves, 2009. "Genetic algorithms for single machine scheduling with quadratic earliness and tardiness costs," FEP Working Papers 312, Universidade do Porto, Faculdade de Economia do Porto.
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