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Bourgeat, M., Navarro, A., Boisvert, L., Marty, T., Rousseau, L.-M., & Cappart, Q. (août 2023). SeaPearl - XCSP Competition (MiniTrack) [Résumé]. XCSP3 Competition 2023, France (2 pages). Non disponible
Hosseini, S.-S., Adulyasak, Y., & Rousseau, L.-M. (2023). Home health care delivery with consistency consideration in a stochastic environment. (Rapport technique n° G-2023-45). Lien externe
Marty, T., Francois, T., Tessier, P., Gautier, L., Rousseau, L.-M., & Cappart, Q. (août 2023). Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver [Communication écrite]. 29th International Conference on Principles and Practice of Constraint Programming (CP 2023), Toronto, ON, Canada (19 pages). Lien externe
Parjadis, A., Cappart, Q., Massoteau, Q., & Rousseau, L.-M. (juin 2023). Repositioning Fleet Vehicles: A Learning Pipeline [Communication écrite]. 17th International Conference on Learning and Intelligent Optimization (LION-17 2023), Nice, France. Lien externe
Pham, T. S., Legrain, A., De Causmaecker, P., & Rousseau, L.-M. (2023). A Prediction-Based Approach for Online Dynamic Appointment Scheduling: A Case Study in Radiotherapy Treatment. INFORMS Journal on Computing, 35(4), 844-868. Lien externe
Rudich, I., Cappart, Q., & Rousseau, L.-M. (2023). Improved Peel-and-Bound: Methods for Generating Dual Bounds with Multivalued Decision Diagrams. Journal of Artificial Intelligence Research, 77, 1489-1538. Lien externe
Zheng, K., Shourabizadeh, H., Rousseau, L.-M., Aleman, D., & Bhat, M. (mai 2023). Machine learning to predict graft survival following liver transplantation [Affiche]. Joint International Congress of the ILTS, ELITA and LICAGE (ILTS 2023), Rotterdam, Netherlands (1 page). Publié dans Transplantation, 107(9S). Lien externe
Zhou, H., Qin, H., Cheng, C., & Rousseau, L.-M. (2023). An exact algorithm for the two-echelon vehicle routing problem with drones. Transportation Research Part B: Methodological, 168, 124-150. Lien externe
