activity
20112023
most citedRecent Advances in Vehicle Routing with Stochastic Demands: Bayesian Learning for Correlated Demands and Elementary Branch-Price-and-Cut

24 citations · 40 across the 7 of their papers we have counts for

collaborators
Showing 2023 · math.OCShow all

1 paper · 2 filters

math.OC2023★ 24 cited

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…