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Documents publiés en "2023"

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Nombre de documents: 16

Article de revue

Cacciola, M., Frangioni, A., Li, X.L., & Lodi, A. (2023). Deep neural networks pruning via the structured perspective regularization. SIAM Journal on Mathematics of Data Science, 5(4), 1051-1077. Lien externe

Cappart, Q., Chételat, D., Khalil, E. B., Lodi, A., Morris, C., & Velickovic, P. (2023). Combinatorial Optimization and Reasoning with Graph Neural Networks. Journal of Machine Learning Research, 24, 130 (61 pages). Lien externe

Carvalho, M., & Lodi, A. (2023). A theoretical and computational equilibria analysis of a multi-player kidney exchange program. European Journal of Operational Research, 305(1), 373-385. Lien externe

Chételat, D., & Lodi, A. (2023). Continuous cutting plane algorithms in integer programming. Operations Research Letters, 51(4), 439-445. Lien externe

Jalbert, J., Weller, J.-N., Boivin, P.-L., Lavigne, S., Taobane, M., Pieper, M., Lodi, A., & Cardinal, H. (2023). Predicting Time to and Average Quality of Future Offers for Kidney Transplant Candidates Declining a Current Deceased Donor Kidney Offer: A Retrospective Cohort Study. Canadian Journal of Kidney Health and Disease, 10, 11 pages. Lien externe

Larsen, E., Frejinger, E., Gendron, B., & Lodi, A. (2023). Fast Continuous and Integer L-Shaped Heuristics Through Supervised Learning. Informs Journal on Computing, 21 pages. Lien externe

Leitner, M., Lodi, A., Roberti, R., & Sole, C. (2023). An Exact Method for (Constrained) Assortment Optimization Problems with Product Costs. INFORMS Journal on Computing, 17 pages. Lien externe

Liu, D., Perreault, V., Hertz, A., & Lodi, A. (2023). A machine learning framework for neighbor generation in metaheuristic search. Frontiers in Applied Mathematics and Statistics, 9, 15 pages. Disponible

Morabit, M., Desaulniers, G., & Lodi, A. (2023). Learning to repeatedly solve routing problems. Networks, 24 pages. Lien externe

Morabit, M., Desaulniers, G., & Lodi, A. (2023). Machine-Learning–Based Arc Selection for Constrained Shortest Path Problems in Column Generation. INFORMS Journal on Optimization, 5(2), 191-210. Lien externe

Patel, K. K., Desaulniers, G., Lodi, A., & Lecue, F. (2023). Explainable prediction of Qcodes for NOTAMs using column generation. Journal of the Operational Research Society, 11 pages. Lien externe

Rapport technique

Perreault, V., Hertz, A., & Lodi, A. (2023). Tactical wireless network design with multi-beam antennas. (Rapport technique n° G-2023-34). Lien externe

Sadoune, I., Joanis, M., & Lodi, A. (2023). Implementing a Hierarchical Deep Learning Approach for Simulating multilevel Auction Data. (Rapport technique n° 2023s-23). Lien externe

Communication écrite

Niroumandrad, N., Lahrichi, N., & Lodi, A. (juillet 2022). A Learning Metaheuristic Algorithm for a Scheduling Application [Communication écrite]. 14th International Conference on Metaheuristics (MIC 2022), Ortigia-Syracuse, Italy. Lien externe

Santana, I., Lodi, A., & Vidal, T. (mai 2023). Neural Networks for Local Search and Crossover in Vehicle Routing: A Possible Overkill? [Communication écrite]. 20th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2023), Nice, France. Lien externe

Document de travail

Sadoune, I., Joanis, M., & Lodi, A. (2023). Implementing a hierarchical dep learning approach for simulatiing multilevel auction data. (Document de travail n° 2023s-23). Lien externe

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