24 citations · 40 across the 7 of their papers we have counts for
8 papers
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 +2
We consider the vehicle routing problem with stochastic demands (VRPSD), a stochastic variant of the well-known VRP in which demands are only revealed upon arrival of the vehicle a…
The disaggregated integer L-shaped method for the stochastic vehicle routing problem
Lucas Parada, Robin Legault, Jean-François Côté +1
This paper proposes a new integer L-shaped method for solving two-stage stochastic integer programs whose first-stage solutions can decompose into disjoint components, each one hav…
Workload Equity in Multi-Period Vehicle Routing Problems
Najmeh Nekooghadirli, Michel Gendreau, Jean-Yves Potvin +1
An equitable distribution of workload is essential when deploying vehicle routing solutions in practice. For this reason, previous studies have formulated vehicle routing problems…
Supervised learning and tree search for real-time storage allocation in Robotic Mobile Fulfillment Systems
Adrien Rimélé, Philippe Grangier, Michel Gamache +2
A Robotic Mobile Fulfillment System is a robotised parts-to-picker system that is particularly well-suited for e-commerce warehousing. One distinguishing feature of this type of wa…
Semi-Supervised Clustering with Inaccurate Pairwise Annotations
Daniel Gribel, Michel Gendreau, Thibaut Vidal
Pairwise relational information is a useful way of providing partial supervision in domains where class labels are difficult to acquire. This work presents a clustering model that…
E-commerce warehousing: learning a storage policy
Adrien Rimélé, Philippe Grangier, Michel Gamache +2
E-commerce with major online retailers is changing the way people consume. The goal of increasing delivery speed while remaining cost-effective poses significant new challenges for…