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Berthelot, S., Longtin, Y., Margni, M., Guertin, J. R., Leblanc, A., Marx, T., Mangou, K., Bluteau, A., Mantovani, D., Mikhaylin, S., Bergeron, F., Dancause, V., Desjardins, A., Lahrichi, N., Martin, D., Sossa, C. J., Lachapelle, P., Schaal, S., Genest, I., ... Beatty, E. (2023). Postpandemic Evaluation of the Eco-Efficiency of Personal Protective Equipment Against COVID-19 in Emergency Departments: Proposal for a Mixed Methods Study. JMIR Research Protocols, 12, e50682 (14 pages). Lien externe
Niroumandrad, N., Lahrichi, N., & Lodi, A. (juillet 2022). A Learning Metaheuristic Algorithm for a Scheduling Application [Communication écrite]. 14th International Conferecne on Metaheuristics (MIC 2022), Syracure, Italy. Lien externe
Sauthier, N., Bouchakri, R., Carrier, F. M., Sauthier, M., Mullie, L.-A., Cardinal, H., Fortin, M.-C., Lahrichi, N., & Chassé, M. (2023). Automated screening of potential organ donors using a temporal machine learning model. Scientific Reports, 13(1), 8459 (8 pages). Lien externe
Yu, C., Lahrichi, N., & Matta, A. (2023). Optimal budget allocation policy for tabu search in stochastic simulation optimization. Computers & Operations Research, 150, 106046 (22 pages). Lien externe
