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Single machine scheduling with controllable processing times by submodular optimization

Single machine scheduling with controllable processing times by submodular optimization

Shakhlevich, Natalia V., Shioura, Akiyoshi and Strusevich, Vitaly A. (2009) Single machine scheduling with controllable processing times by submodular optimization. International Journal of Foundations of Computer Science, 20 (2). pp. 247-269. ISSN 0129-0541 (Print), 1793-6373 (Online) (doi:10.1142/S0129054109006541)

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Abstract

In scheduling with controllable processing times the actual processing time of each job is to be chosen from the interval between the smallest (compressed or fully crashed) value and the largest (decompressed or uncrashed) value. In the problems under consideration, the jobs are processed on a single machine and the quality of a schedule is measured by two functions: the maximum cost (that depends on job completion times) and the total compression cost. Our main model is bicriteria and is related to determining an optimal trade-off between these two objectives. Additionally, we consider a pair of associated single criterion problems, in which one of the objective functions is bounded while the other one is to be minimized. We reduce the bicriteria problem to a series of parametric linear programs defined over the intersection of a submodular polyhedron with a box. We demonstrate that the feasible region is represented by a so-called base polyhedron and the corresponding problem can be solved by the greedy algorithm that runs two orders of magnitude faster than known previously. For each of the associated single criterion problems, we develop algorithms that deliver the optimum faster than it can be deduced from a solution to the bicriteria problem.

Item Type: Article
Uncontrolled Keywords: single machine scheduling; controllable processing times; polymatroid; base polyhedron
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Related URLs:
Last Modified: 14 Oct 2016 09:22
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/9033

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