Recent advances in vehicle routing with stochastic demands: Bayesian learning for correlated demands and elementary branch-price-and-cut

Alexandre M. Florio, Michel Gendreau, Richard F. Hartl, Stefan Minner and Thibaut Vidal

Article (2023)

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Additional Information:	Groupe de recherche: SCALE-AI Chair in Data-Driven Supply Chains
Department:	Department of Mathematics and Industrial Engineering
Research Center:	CIRRELT - Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation Other
PolyPublie URL:	https://publications.polymtl.ca/51903/
Journal Title:	European Journal of Operational Research (vol. 306, no. 3)
Publisher:	Elsevier B.V.
DOI:	10.1016/j.ejor.2022.10.045
Official URL:	https://doi.org/10.1016/j.ejor.2022.10.045
Date Deposited:	18 Apr 2023 14:58
Last Modified:	25 Sep 2024 16:42

Cite in APA 7:	Florio, A. M., Gendreau, M., Hartl, R. F., Minner, S., & Vidal, T. (2023). Recent advances in vehicle routing with stochastic demands: Bayesian learning for correlated demands and elementary branch-price-and-cut. European Journal of Operational Research, 306(3), 1081-1093. https://doi.org/10.1016/j.ejor.2022.10.045
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