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Berthold, T., Lodi, A., & Salvagnin, D. (2019). Ten years of feasibility pump, and counting. EURO Journal on Computational Optimization, 7(1), 1-14. Lien externe
Berthold, T., Lodi, A., & Salvagnin, D. (2017). Ten years of feasibility pump, and counting. (Rapport technique n° DS4DM-2017-009). Lien externe
Belotti, P., Bonami, P., Fischetti, M., Lodi, A., Monaci, M., Nogales-Gomez, A., & Salvagnin, D. (2016). On handling indicator constraints in mixed integer programming. Computational Optimization and Applications, 65(3), 545-566. Lien externe
Belotti, P., Bonami, P., Fischetti, M., Lodi, A., Monaci, M., Nogales-Gómez, A., & Salvagnin, D. (2015). On handling indicator constraints in mixed-integer programming. (Rapport technique). Non disponible
Fischetti, M., Lodi, A., Monaci, M., Salvagnin, D., & Tramontani, A. (2016). Improving branch-and-cut performance by random sampling. Mathematical Programming Computation, 8(1), 113-132. Lien externe
Fischetti, M., Lodi, A., Monaci, M., Salvagnin, D., & Tramontani, A. (2013). Tree search stabilization by random sampling. (Rapport technique). Non disponible
Fischetti, M., Lodi, A., & Salvagnin, D. (2010). Just MIP it! Dans Maniezzo, V., Stützle, T., & Voß, S. (édit.), Matheuristics (Vol. 10, 39-70). Lien externe
Koch, T., Achterberg, T., Andersen, E., Bastert, O., Berthold, T., Bixby, R. E., Danna, E., Gamrath, G., Gleixner, A. M., Heinz, S., Lodi, A., Mittelmann, H., Ralphs, T., Salvagnin, D., Steffy, D. E., & Wolter, K. (2011). MIPLIB 2010: Mixed integer programming library version 5. Mathematical Programming Computation, 3(2), 103-163. Lien externe
Pommerening, F., Roger, G., Helmert, M., Cambazard, H., Rousseau, L.-M., & Salvagnin, D. (janvier 2021). Lagrangian decomposition for classical planning (extended abstract) [Communication écrite]. 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan. Lien externe
Pommerening, F., Röger, G., Helmert, M., Cambazard, H., Rousseau, L.-M., & Salvagnin, D. (juillet 2019). Lagrangian decomposition for optimal cost partitioning [Communication écrite]. 29th International Conference on Automated Planning and Scheduling (ICAPS 2019), Berkeley, CA. Publié dans Proceedings of the International Conference on Automated Planning and Scheduling, 29. Lien externe
