An Investigation of Phase Transitions in Single-Machine Scheduling Problems

Authors

  • Zhihui Wang NASA Ames Research Center
  • Bryan O'Gorman NASA Ames Research Center
  • Tony Tran University of Toronto
  • Eleanor Rieffel NASA Ames Research Center
  • Jeremy Frank NASA Ames Research Center
  • Minh Do NASA Ames Research Center

DOI:

https://doi.org/10.1609/icaps.v27i1.13829

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.

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Published

2017-06-05

How to Cite

Wang, Z., O’Gorman, B., Tran, T., Rieffel, E., Frank, J., & Do, M. (2017). An Investigation of Phase Transitions in Single-Machine Scheduling Problems. Proceedings of the International Conference on Automated Planning and Scheduling, 27(1), 325-329. https://doi.org/10.1609/icaps.v27i1.13829