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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. FlorioMichel GendreauRichard F. HartlStefan MinnerThibaut Vidal
Published in: Eur. J. Oper. Res. (2023)
Keyphrases
  • recent advances
  • bayesian learning
  • vehicle routing
  • model selection
  • column generation
  • travel time
  • machine learning
  • search space
  • pattern recognition
  • lower bound
  • special case
  • sample size