Documents publiés en "2023"

Département de mathématiques et de génie industriel

Daadaa, M., Séguin, S., Anjos, M. F., & Demeester, K. (2023). Optimizing strategies for short-term hydropower scheduling using a blackbox optimization framework. (Rapport technique n° G-2023-38). Lien externe

Daadaa, M., Séguin, S., Anjos, M. F., & Demeester, K. (2023). Quantifying the impact of scenario tree generation and reduction methods on the solution of the short-term hydroscheduling problem. Energy Systems, 30 pages. Lien externe

Faria Pires Gama Rocha, M., Anjos, M. F., & Gendreau, M. (2023). Scheduling maintenance with uncertain duration on power transmission systems. (Rapport technique n° G-2023-08). Lien externe

He, J., Khebbache, S., Anjos, M. F., & Hadji, M. (2023). Optimization of maintenance for complex manufacturing systems using stochastic Remaining Useful Life prognostics. Computers & Industrial Engineering, 182, 109348 (18 pages). Lien externe

Lamontagne, S. J., Carvalho, M., Frejinger, E., Gendron, B., Anjos, M. F., & Atallah, R. (2023). Optimising Electric Vehicle Charging Station Placement Using Advanced Discrete Choice Models. INFORMS journal on computing, 35(5), 1195-1213. Lien externe

Motta, V. N., Anjos, M. F., & Gendreau, M. (2023). Optimal allocation of demand response considering transmission system congestion. Computational Management Science, 20(1), 25 (22 pages). Lien externe

Motta, V. N., Anjos, M. F., & Gendreau, M. (2023). Survey of optimization models for power system operation and expansion planning with demand response. European Journal of Operational Research, 312(2), 401-412. Lien externe

Peršak, E., & Anjos, M. F. (mai 2023). Contextual Robust Optimisation withUncertainty Quantification . Dans 20th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2023), Nice, France. Publié dans Lecture notes in computer science. Lien externe