Documents publiés en "2018"

C

Cappart, Q., Goutierre, E., Bergman, D., & Rousseau, L.-M. (janvier 2019). Improving optimization bounds using machine learning: Decision diagrams meet deep reinforcement learning [Communication écrite]. Association for the Advancement of Artificial Intelligence (AAAI 2019), Honolulu, HI. Lien externe

Cappart, Q., Thomas, C., Schaus, P., & Rousseau, L.-M. (août 2018). A constraint programming approach for solving patient transportation problems [Communication écrite]. 24th International Conference on the Principles and Practice of Constraint Programming (CP 2018), Lille, France. Lien externe

Cheng, C., Adulyasak, Y., & Rousseau, L.-M. (2018). Formulations and exacts algorithms for drone routing problem. (Rapport technique n° CIRRELT-2018-31). Lien externe

Cheng, C., Qi, M., & Rousseau, L.-M. (2018). Fuel Consumption Optimization Model for the Multi-Period Inventory Routing Problem. Transportation Research Record, 2672(9), 59-69. Lien externe

Cheng, C., Qi, M., Zhang, Y., & Rousseau, L.-M. (2018). A two-stage robust approach for the reliable logistics network design problem. Transportation Research Part B: Methodological, 111, 185-202. Lien externe

D

Deudon, M., Cournut, P., Lacoste, A., Adulyasak, Y., & Rousseau, L.-M. (juin 2018). Learning heuristics for the tsp by policy gradient [Communication écrite]. 15th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2018), Delft, Netherlands. Lien externe

E

El Hachemi, N., Saddoune, M., El Hallaoui, I., & Rousseau, L.-M. (2018). A two-phase approach to solve the synchronized bin–forklift scheduling problem. Journal of Intelligent Manufacturing, 29(3), 651-657. Lien externe

Errico, F., Desaulniers, G., Gendreau, M., Rei, W., & Rousseau, L.-M. (2018). The vehicle routing problem with hard time windows and stochastic service times. EURO Journal on Transportation and Logistics, 7(3), 223-251. Lien externe

F

Froger, A., Gendreau, M., Mendoza, J. E., Pinson, É., & Rousseau, L.-M. (2018). Solving a wind turbine maintenance scheduling problem. Journal of Scheduling, 21(1), 53-76. Lien externe

H

Hojabri, H., Gendreau, M., Potvin, J. Y., & Rousseau, L.-M. (2018). Large neighborhood search with constraint programming for a vehicle routing problem with synchronization constraints. Computers & Operations Research, 92, 87-97. Lien externe

L

Lahrichi, N., Rousseau, L.-M., & Van Hoeve, W.-J. (2018). Residential Care. Dans Handbook of Healthcare Analytics (257-285). Lien externe

P

Pan, S., Akplogan, M., Létocart, L., Rousseau, L.-M., Touati, N., & Calvo, R. W. (juin 2018). A hybrid heuristic for multi-activity tour scheduling [Communication écrite]. 16th Cologne-Twente Workshop on Graphs and Combinatorial Optimization (CTW 2018), Paris, France. Lien externe

Pan, S., Akplogan, M., Touati, N., Létocart, L., Wolfler Calvo, R., & Rousseau, L.-M. (2018). A hybrid heuristic for the multi-activity tour scheduling problem. Electronic Notes in Discrete Mathematics, 69, 333-340. Lien externe

R

Restrepo, M. I., Gendron, B., & Rousseau, L.-M. (2018). Combining Benders decomposition and column generation for multi-activity tour scheduling. Computers & Operations Research, 93, 151-165. Lien externe

Romer, M., Cire, A. A., & Rousseau, L.-M. (juin 2018). A local search framework for compiling relaxed decision diagrams [Communication écrite]. 15th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2018), Delft, Netherlands. Lien externe