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An Investigation of Phase Transitions in Single-Machine Scheduling Problems

Authors :
Zhihui Wang
Bryan O'Gorman
Tony Tran
Eleanor Rieffel
Jeremy Frank
Minh Do
Source :
Proceedings of the International Conference on Automated Planning and Scheduling. 27:325-329
Publication Year :
2017
Publisher :
Association for the Advancement of Artificial Intelligence (AAAI), 2017.

Abstract

We investigate solvable-unsolvable phase transitions in the single-machine scheduling (SMS) problem. SMS is at the core of practical problems such as telescope and satellite scheduling and manufacturing. To study the solvability phase transition, we construct a variety of instance families parameterized by the set of the processing times, the window size (deadline minus release time), and the horizon. We empirically establish the phase transition and look for an easy-hard-easy pattern for this family using several common solvers. While in many combinatorial problems a phase transition coincides with typically hard instances, whether or not that is the case with SMS remains an open question, and merits further study.

Details

ISSN :
23340843 and 23340835
Volume :
27
Database :
OpenAIRE
Journal :
Proceedings of the International Conference on Automated Planning and Scheduling
Accession number :
edsair.doi...........a652eaa64f458f15c6bf88c040bd2235
Full Text :
https://doi.org/10.1609/icaps.v27i1.13829