We study Parallel Task Scheduling Pm|sizej|Cmax with a constant number of machines. This problem is known to be strongly NP-complete for each m ≥ 5, while it is solvable in pseudo-polynomial time for each m ≤ 3. We give a positive answer to the long-standing open question whether this problem is strongly NP-complete for m = 5. As a second result, we improve the lower bound of [Formula Present] for approximating pseudo-polynomial Strip Packing to [Formula Present]. Since the best known approximation algorithm for this problem has a ratio of [Formula Present], this result narrows the gap between approximation ratio and inapproximability result by a significant step. Both results are proven by a reduction from the strongly NP-complete problem 3-Partition.
CITATION STYLE
Henning, S., Jansen, K., Rau, M., & Schmarje, L. (2018). Complexity and inapproximability results for parallel task scheduling and strip packing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10846 LNCS, pp. 169–180). Springer Verlag. https://doi.org/10.1007/978-3-319-90530-3_15
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