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Er Raqabi, E. M., Himmich, I., El Hachemi, N., El Hallaoui, I., & Soumis, F. (2022). Incremental LNS framework for integrated production, inventory, and vessel scheduling: Application to a global supply chain. (Rapport technique n° G-2022-54). Lien externe
Himmich, I., Er Raqabi, E. M., El Hachemi, N., El Hallaoui, I., Metrane, A., & Soumis, F. (2022). MPILS: an automatic tuner for MILP solvers. (Rapport technique n° 2022-53). Lien externe
Pereira, P., Courtade, E., Aloise, D., Quesnel, F., Soumis, F., & Yaakoubi, Y. (2022). Learning to branch for the crew pairing problem. (Rapport technique n° G-2022-31). Lien externe
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. Lien externe
