Philippe Racette, Frédéric Quesnel, Andrea Lodi and François Soumis
Technical Report (2025)
An external link is available for this item| Additional Information: | Canada Excellence Research Chair in Data Science for Real-Time Decision-Making |
|---|---|
| Department: | Department of Mathematics and Industrial Engineering |
| Research Center: | GERAD - Research Group in Decision Analysis |
| PolyPublie URL: | https://publications.polymtl.ca/63450/ |
| Report number: | G-2025-24 |
| Official URL: | https://www.gerad.ca/fr/papers/G-2025-24 |
| Date Deposited: | 25 Mar 2025 10:36 |
| Last Modified: | 25 Mar 2025 10:36 |
| Cite in APA 7: | Racette, P., Quesnel, F., Lodi, A., & Soumis, F. (2025). Accelerated windowing for the crew rostering problem with machine learning. (Technical Report n° G-2025-24). https://www.gerad.ca/fr/papers/G-2025-24 |
|---|---|
Statistics
Stats are not available on this system.
Repository Staff Only
|
View Item |
