Abstract
We present and analyze a branching procedure suitable for best-first branch-and-bound algorithms for solving multiprocessor scheduling problems. The originality of this branching procedure resides mainly in its ability to enumerate all feasible solutions without generating duplicated subproblems. This procedure is shown to be polynomial in time and space complexities. © Springer-Verlag Berlin Heidelberg 1999.
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CITATION STYLE
Corrêa, R. C., & Ferreira, A. (1999). A polynomial-time branching procedure for the multiprocessor scheduling problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1685 LNCS, pp. 272–279). Springer Verlag. https://doi.org/10.1007/3-540-48311-x_35
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