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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, Thibaut Vidal

2022European Journal of Operational Research24 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceVehicle routing problemBayesian probabilityBenchmark (surveying)Iterated functionMathematical optimizationOperations researchFeature (linguistics)Constraint (computer-aided design)Cover (algebra)Key (lock)Routing (electronic design automation)Artificial intelligenceMathematicsEngineeringComputer securityLinguisticsMathematical analysisGeometryGeodesyGeographyPhilosophyComputer networkMechanical engineeringVehicle Routing Optimization MethodsTransportation Planning and OptimizationTransportation and Mobility Innovations
Recent advances in vehicle routing with stochastic demands: Bayesian learning for correlated demands and elementary branch-price-and-cut | Litcius