An End-to-End Reinforcement Learning Approach for Job-Shop Scheduling Problems Based on Constraint Programming

von Tassel, Pierre
Veröffentlicht in International Conference on Automated Planning and Scheduling (33. : 2023 : Prag) Thirty-third International Conference on Automated Planning and Scheduling (ICAPS 2023) (2023)

Learning to Break Symmetries for Efficient Optimization in Answer Set Programming

von Tarzariol, Alice
Veröffentlicht in AAAI Conference on Artificial Intelligence (37. : 2023 : Washington, DC; Online) 37th AAAI Conference on Artificial Intelligence (AAAI-23) ; Volume 5, part 2 of 2 (2023)

Solving a Multi-resource Partial-Ordering Flexible Variant of the Job-Shop Scheduling Problem with Hybrid ASP

von Francescutto, Giulia
Veröffentlicht in JELIA (17. : 2021 : Online) Logics in Artificial Intelligence (2021)

Decomposition-Based Job-Shop Scheduling with Constrained Clustering

von El-Kholany, Mohammed M. 8.
Veröffentlicht in PADL (24. : 2022 : Philadelphia, Pa.) Practical Aspects of Declarative Languages (2022)