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Combinatorial Optimization-Enriched Machine Learning to Solve the Dynamic Vehicle Routing Problem with Time Windows.

, , , , and . Transp. Sci., 58 (4): 708-725 (2024)

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Electric Vehicle Charging Station Search in Stochastic Environments., , , and . CoRR, (2020)On the Interaction between Autonomous Mobility-on-Demand and Public Transportation Systems., , , , and . ITSC, page 2262-2269. IEEE, (2018)A Model Predictive Control Scheme for Intermodal Autonomous Mobility-on-Demand., , , , and . ITSC, page 1953-1960. IEEE, (2019)WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning., , , and . CoRR, (2024)Strategic Workforce Planning in Crowdsourced Delivery with Hybrid Driver Fleets., , and . CoRR, (2023)Support Vector Machines with the Hard-Margin Loss: Optimal Training via Combinatorial Benders' Cuts., , , and . CoRR, (2022)A Vehicle Coordination and Charge Scheduling Algorithm for Electric Autonomous Mobility-on-Demand Systems., , , and . ACC, page 248-255. IEEE, (2020)Bilevel optimization for feature selection in the data-driven newsvendor problem., , , and . Eur. J. Oper. Res., 315 (2): 703-714 (2024)Online Routing Over Parallel Networks: Deterministic Limits and Data-driven Enhancements., , , and . INFORMS J. Comput., 35 (3): 560-577 (2023)RoutingBlocks: An Open-Source Python Package for Vehicle Routing Problems with Intermediate Stops., and . INFORMS J. Comput., 36 (4): 966-973 (2024)