Documents publiés en "2023"

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

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

Patel, K. K., Desaulniers, G., & Lodi, A. (2023). Revisiting column-generation-based matheuristic for learning classification trees. (Rapport technique n° G-2023-39). 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, Í., 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