Research output per year
Research output per year
Mark Wallace, Neil Yorke-Smith*
Research output: Contribution to journal › Article › Scientific › peer-review
The cyclic hoist scheduling problem (CHSP) is a well-studied optimisation problem due to its importance in industry. Despite the wide range of solving techniques applied to the CHSP and its variants, the models have remained complicated and inflexible, or have failed to scale up with larger problem instances. This article re-examines modelling of the CHSP and proposes a new simple, flexible constraint programming formulation. We compare current state-of-the-art solving technologies on this formulation, and show that modelling in a high-level constraint language, MiniZinc, leads to both a simple, generic model and to computational results that outperform the state of the art. We further demonstrate that combining integer programming and lazy clause generation, using the multiple cores of modern processors, has potential to improve over either solving approach alone.
Original language | English |
---|---|
Pages (from-to) | 319-337 |
Number of pages | 19 |
Journal | Constraints |
Volume | 25 |
Issue number | 3-4 |
DOIs | |
Publication status | Published - 2020 |
Research output: Contribution to conference › Abstract › Scientific
Yorke-Smith, N. (Creator) & Wallace, M. (Creator), TU Delft - 4TU.ResearchData, 9 Apr 2020
DOI: 10.4121/12912413
Dataset/Software: Dataset