<  Retour au portail Polytechnique Montréal

Documents publiés en "2020"

Monter d'un niveau
Pour citer ou exporter [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Grouper par: Auteurs ou autrices | Département | Sous-type de document | Aucun groupement
Aller à : G | H | K | Q | S | V
Nombre de documents: 7

G

Gribel, D., Vidal, T., & Gendreau, M. (janvier 2021). Assortative-constrained stochastic block models [Communication écrite]. 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy. Lien externe

H

Homsi, G., Martinelli, R., Vidal, T., & Fagerholt, K. (2020). Industrial and tramp ship routing problems: Closing the gap for real-scale instances. European Journal of Operational Research, 283(3), 972-990. Lien externe

K

Kramer, R., Iori, M., & Vidal, T. (2020). Mathematical Models and Search Algorithms for the Capacitated p-Center Problem. INFORMS Journal on Computing, 32(2), 444-460. Lien externe

Q

Queiroga, E., Frota, Y., Sadykov, R., Subramanian, A., Uchoa, E., & Vidal, T. (2020). On the exact solution of vehicle routing problems with backhauls. European Journal of Operational Research, 287(1), 76-89. Lien externe

S

Soriano, A., Vidal, T., Gansterer, M., & Doerner, K. (2020). The vehicle routing problem with arrival time diversification on a multigraph. European Journal of Operational Research, 286(2), 564-575. Lien externe

V

Vidal, T., Laporte, G., & Matl, P. (2020). A concise guide to existing and emerging vehicle routing problem variants. European Journal of Operational Research, 286(2), 401-416. Lien externe

Vidal, T., Pacheco, T., & Schiffer, M. (juillet 2020). Born-Again Tree Ensembles [Communication écrite]. 37th International Conference on Machine Learning (ICML). Non disponible

Liste produite: Wed Jul 17 01:50:41 2024 EDT.