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Cappart, Q., Bergman, D., Rousseau, L.-M., Prémont-Schwarz, I., & Parjadis, A. (2022). Improving variable orderings of approximate decision diagrams using reinforcement learning. INFORMS Journal on Computing, 34(5), 2552-2570. Lien externe
Joshi, C. K., Cappart, Q., Rousseau, L.-M., & Laurent, T. (2022). Learning the travelling salesperson problem requires rethinking generalization. Constraints, 27(1-2), 70-98. Lien externe
Rudich, I. R., Cappart, Q., & Rousseau, L.-M. (2022). Peel-And-Bound: Generating Stronger Relaxed Bounds with Multivalued Decision Diagrams [Communication écrite]. 28th International Conference on Principles and Practice of Constraint Programming (CP 2022), Haifa, Israel. Lien externe
Augustin, A., Jouvet, P., Lahrichi, N., Lodi, A., & Rousseau, L.-M. (2022). A data-driven approach to include availability of ICU beds in the planning of the operating room. Omega-International Journal of Management Science, 109, 102608 (16 pages). Lien externe
Bentayeb, D., Lahrichi, N., & Rousseau, L.-M. (2022). On integrating patient appointment grids and technologist schedules in a radiology center. Health Care Management Science, 26(1), 62-78. Lien externe
Cadi, A. A. E., Hachemi, N. E., Jamali, M. A., Artiba, A., & Rousseau, L.-M. (2022). An exact approach to the integration of non-cyclical preventive maintenance scheduling and production planning for a series-parallel production system. International Journal of Operational Research, 44(3), 401-414. Lien externe
Cappart, Q., Bergman, D., Rousseau, L.-M., Prémont-Schwarz, I., & Parjadis, A. (2022). Improving variable orderings of approximate decision diagrams using reinforcement learning. INFORMS Journal on Computing, 34(5), 2552-2570. Lien externe
Joshi, C. K., Cappart, Q., Rousseau, L.-M., & Laurent, T. (2022). Learning the travelling salesperson problem requires rethinking generalization. Constraints, 27(1-2), 70-98. Lien externe
Ricard, L., Desaulniers, G., Lodi, A., & Rousseau, L.-M. (2022). Increasing schedule reliability in the multi-depot vehicle scheduling problem with stochastic travel time. (Rapport technique n° 2022-30). Lien externe
Ricard, L., Desaulniers, G., Lodi, A., & Rousseau, L.-M. (2022). Predicting the probability distribution of bus travel time to measure the reliability of public transport services. Transportation Research Part C-Emerging Technologies, 138, 103619 (16 pages). Lien externe
Rimélé, A., Gamache, M., Gendreau, M., Grangier, P., & Rousseau, L.-M. (2022). Robotic mobile fulfillment systems: a mathematical modelling framework for e-commerce applications. International Journal of Production Research, 60(11), 3589-3605. Lien externe
Rudich, I. R., Cappart, Q., & Rousseau, L.-M. (2022). Peel-And-Bound: Generating Stronger Relaxed Bounds with Multivalued Decision Diagrams [Communication écrite]. 28th International Conference on Principles and Practice of Constraint Programming (CP 2022), Haifa, Israel. Lien externe
Yu, Q., Adulyasak, Y., Rousseau, L.-M., Zhu, N., & Ma, S. (2022). Team Orienteering with Time-Varying Profit. INFORMS Journal on Computing, 34(1), 262-280. Lien externe
