Documents publiés en "2020"

A

Augustin, A., Jouvet, P., Lahrichi, N., Lodi, A., & Rousseau, L.-M. (2020). A Data-driven approach to include availability of ICU beds in the planning of the operating room. (Rapport technique n° CIRRELT-2020-10). Lien externe

B

Bengio, Y., Frejinger, E., Lodi, A., Patel, R., & Sankaranarayanan, S. (septembre 2020). A Learning-Based Algorithm to Quickly Compute Good Primal Solutions for Stochastic Integer Programs [Communication écrite]. 17th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research. (CPAIOR 2020), Vienna, Austria. Lien externe

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Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2020). The covering-assignment problem for swarm-powered ad-hoc clouds : a distributed 3D mapping use-case. (Rapport technique n° 2020-28). Lien externe

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Dan, T., Lodi, A., & Marcotte, P. (2020). Joint location and pricing within a user-optimized environment. EURO Journal on Computational Optimization, 8(1), 61-84. Lien externe

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Farhadi, F., Nia, V. P., & Lodi, A. (février 2020). Activation adaptation in neural networks [Communication écrite]. 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), Valletta, Malta. Lien externe

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Gmira, M., Gendreau, M., Lodi, A., & Potvin, J.-Y. (2020). Tabu search for the time-dependent vehicle routing problem with time windows on a road network. European Journal of Operational Research, 288(1), 129-140. Lien externe

Gmira, M., Gendreau, M., Lodi, A., & Potvin, J.-Y. (2020). Travel speed prediction based on learning methods for home delivery. EURO Journal on Transportation and Logistics, 9(4), 16 pages. Lien externe

González, J. E., Cire, A. A., Lodi, A., & Rousseau, L.-M. (2020). BDD-based optimization for the quadratic stable set problem. Discrete Optimization, 100610 (24 pages). Lien externe

González, J. E., Cire, A. A., Lodi, A., & Rousseau, L.-M. (2020). Integrated integer programming and decision diagram search tree with an application to the maximum independent set problem. Constraints, 25(1-2), 23-46. Lien externe

Gupta, P., Gasse, M., Khalil, E. B., Kumar, M. P., Lodi, A., & Bengio, Y. (décembre 2020). Hybrid models for learning to branch [Communication écrite]. 34th Conference on neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada (11 pages). Lien externe

Gupta, P., Gasse, M., Khalil, E. B., Kumar, M. P., Lodi, A., & Bengio, Y. (décembre 2020). Supplement: Hybrid models for learning to branch [Communication écrite]. 34th Conference on neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada (8 pages). Lien externe

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Jena, S. D., Lodi, A., & Sole, C. (2020). On the estimation of discrete choice models to capture irrational customer behaviors. (Rapport technique n° CIRRELT-2020-32). Lien externe

Jena, S. D., Lodi, A., Palmer, H., & Sole, C. (2020). A Partially Ranked Choice Model for Large-Scale Data-Driven Assortment Optimization. INFORMS Journal on Optimization, 2(4), 297-319. Lien externe

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Lodi, A., Mossina, L., & Rachelson, E. (2020). Learning to handle parameter perturbations in Combinatorial Optimization : an application to facility location. EURO Journal on Transportation and Logistics, 9(4), 13 pages. Disponible

Lotfi, S., Bonniot de Ruisselet, T., Orban, D., & Lodi, A. (2020). Stochastic damped L-BFGS with controlled norm of the Hessian approximation. (Rapport technique n° 2020-52). Lien externe

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Mai, T., & Lodi, A. (2020). A multicut outer-approximation approach for competitive facility location under random utilities. European Journal of Operational Research, 284(3), 874-881. Lien externe

Muller, B., Munoz, G., Gasse, M., Gleixner, A., Lodi, A., & Serrano, F. (juin 2020). On Generalized Surrogate Duality in Mixed-Integer Nonlinear Programming [Communication écrite]. 21st International Conference on Integer Programming and Combinatorial Optimization (IPCO 2020), London, United Kingdom. Lien externe

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Neal, C., Al Mallah, R., Fernandez, J. M., & Lodi, A. (août 2020). Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input [Communication écrite]. 2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2020), London, ON, Canada (6 pages). Lien externe

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Prouvost, A., Lodi, A., Rousseau, L.-M., & Vallee, J. (mai 2019). Adverse Event Prediction by Telemonitoring and Deep Learning [Communication écrite]. 4th International Conference on Health Care Systems Engineering (HCSE 2019), Montréal, Qc, Canada. Lien externe

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Shen, R., Tang, B., Lodi, A., Tramontani, A., & Ayed, I. B. (2020). An ILP Model for Multi-Label MRFs with Connectivity Constraints. IEEE Transactions on Image Processing, 29, 6909-6917. Lien externe