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Documents publiés en "2023"

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Nombre de documents: 15

Département de génie informatique et génie logiciel

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

Département de mathématiques et de génie industriel

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

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

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

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

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

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

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

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