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Cacciola, M., Frangioni, A., & Lodi, A. (2024). Structured pruning of neural networks for constraints learning. Operations Research Letters, 57, 107194. Lien externe
Dragotto, G., Boukhtouta, A., Lodi, A., & Taobane, M. (2024). The critical node game. Journal of Combinatorial Optimization, 47, 74 (20 pages). Lien externe
Liang, J., Jena, S. D., & Lodi, A. (2024). Dynamic rebalancing optimization for bike-sharing systems: A modeling framework and empirical comparison. European Journal of Operational Research, 317(3), 875-889. Lien externe
Niroumandrad, N., Lahrichi, N., & Lodi, A. (2024). Learning tabu search algorithms: a scheduling application. Computers & Operations Research, 170, 106751 (16 pages). Lien externe
Patel, K. K., Desaulniers, G., & Lodi, A. (2024). An improved column-generation-based matheuristic for learning classification trees. Computers & Operations Research, 165, 106578 (12 pages). Lien externe
Racette, P., Soumis, F., Quesnel, F., & Lodi, A. (2024). Gaining insight into crew rostering instances through ML-based sequential assignment. Top, 42 pages. Accès restreint
Ricard, L., Desaulniers, G., Lodi, A., & Rousseau, L.-M. (2024). Increasing schedule reliability in the multiple depot vehicle scheduling problem with stochastic travel time. Omega-International Journal of Management Science, 127, 103100 (19 pages). Disponible
Sadoune, I., Joanis, M., & Lodi, A. (2024). Implementing a Hierarchical Deep Learning Approach for Simulating Multilevel Auction Data. Computational Economics, -. Lien externe