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Mathematical formulations for multi-period network design with modular capacity adjustments., , and . INFOR Inf. Syst. Oper. Res., 61 (4): 445-489 (November 2023)Rolling horizon strategies for a dynamic and stochastic ridesharing problem with rematches., , and . Discret. Appl. Math., (January 2024)On the estimation of discrete choice models to capture irrational customer behaviors., , and . CoRR, (2021)Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems., , and . KDD, page 378-386. ACM, (2018)Strong Bounds for Resource Constrained Project Scheduling: Preprocessing and Cutting Planes., , , , , and . CoRR, (2019)Harvest planning in the Brazilian sugar cane industry via mixed integer programming., and . Eur. J. Oper. Res., 230 (2): 374-384 (2013)Dynamic and Stochastic Rematching for Ridesharing Systems: Formulations and Reductions., , and . ISCO, volume 12176 of Lecture Notes in Computer Science, page 193-201. Springer, (2020)A Reinforcement Learning Approach for Dynamic Rebalancing in Bike-Sharing System., , , and . CoRR, (2024)Using Lagrangian relaxation to locate hydrogen production facilities under uncertain demand: a case study from Norway., , and . Comput. Manag. Sci., 20 (1): 10 (December 2023)Lagrangian Heuristics for Large-Scale Dynamic Facility Location with Generalized Modular Capacities., , and . INFORMS J. Comput., 29 (3): 388-404 (2017)