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Barry, A.-S., Quesnel, F., El Hallaoui, I., & Soumis, F. (2024). Algorithme primal ajoutant des variables pour le problème du partitionnement d'ensemble généralisé. (Technical Report n° G-2024-11). External link
Marcotte, O., Quesnel, F., Carreau, J., Schulz, J., Blondin Massé, A., Lindstrom, M. R., Meurs, M.-J., Hertz, A., Aflaki, G., Plante, J.-F., Tafolong, E., & Gervais-Dubé, M. (2022). Comptes rendus du douzième atelier de résolution de problèmes industriels de Montréal, 22-26 août 2022 / Proceedings of the twelfth Montréal industrial problem solving workshop, August 22-26, 2022. (Technical Report n° G-2022-63). External link
Pereira, P., Courtade, E., Aloise, D., Quesnel, F., Soumis, F., & Yaakoubi, Y. (2022). Learning to branch for the crew pairing problem. (Technical Report n° G-2022-31). External link
Quesnel, F., Wu, A., Desaulniers, G., & Soumis, F. (2022). Deep-learning-based partial pricing in a branch-and-price algorithm for personalized crew rostering. Computers and Operations Research, 138, 15 pages. External link
Quesnel, F., Wu, A., Desaulniers, G., & Soumis, F. (2020). Deep-learning-based partial pricing in a branch-and-price algorithm for personalized crew rostering. (Technical Report n° G-2020-72). External link
Quesnel, F., Desaulniers, G., & Soumis, F. (2020). A branch-and-price heuristic for the crew pairing problem with language constraints. European Journal of Operational Research, 283(3), 1040-1054. External link
Quesnel, F., Desaulniers, G., & Soumis, F. (2020). Improving Air Crew Rostering by Considering Crew Preferences in the Crew Pairing Problem. Transportation Science, 54(1), 97-114. External link
Quesnel, F. (2019). Trois variantes du problème de rotations pour une approche semi-intégrée de la planification d'horaires de personnel aérien [Ph.D. thesis, Polytechnique Montréal]. Available
Quesnel, F., Desaulniers, G., & Soumis, F. (2019). The airline crew pairing problem with language constraints. (Technical Report n° G-2019-25). External link
Quesnel, F., Desaulniers, G., & Soumis, F. (2017). A new heuristic branching scheme for the crew pairing problem with base constraints. Computers & Operations Research, 80, 159-172. External link
Quesnel, F., Desaulniers, G., & Soumis, F. (2016). A new heuristic branching scheme for the crew pairing problem with base constraints. (Technical Report n° G-2016-47). External link
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). External link
Racette, P., Soumis, F., Quesnel, F., & Lodi, A. (2024). Gaining insight into crew rostering instances through ML-based sequential assignment. Top, 42 pages. Available
Rosat, S., Quesnel, F., El Hallaoui, I., & Soumis, F. (2017). Dynamic penalization of fractional directions in the integral simplex using decomposition: Application to aircrew scheduling. European Journal of Operational Research, 263(3), 1007-1018. External link
Rosat, S., Quesnel, F., El Hallaoui, I., & Soumis, F. (2016). Dynamic penalization of fractional directions in the integral simplex using decomposition: Application to aircrew scheduling. (Technical Report n° G-2016-01). External link
Rosat, S., Quesnel, F., Soumis, F., & El Hallaoui, I. (2016, February). Pénaliser les directions fractionnaires dans le simplexe en nombres entiers. Application au transport aérien [Paper]. 17e Congrès de la Société française de recherche opérationnelle et d'aide à la décision (ROADEF 2016), Compiègne, France. Unavailable
Tahir, A., Quesnel, F., Desaulniers, G., El Hallaoui, I., & Yaakoubi, Y. (2021). An Improved Integral Column Generation Algorithm Using Machine Learning for Aircrew Pairing. Transportation Science, 55(6), 1411-1429. External link
Tahir, A., Quesnel, F., Desaulniers, G., El Hallaoui, I., & Yaakoubi, Y. (2020). An improved integral column generation algorithm using machine learning for aircrew pairing. (Technical Report n° G-2020-71). External link
