Anticipatory Route Selection. - Barrett W. Thomas; Chelsea C. White III (Transp. Sci., 2004)

The dynamic shortest path problem with anticipation. - Barrett W. Thomas; Chelsea C. White III (Eur. J. Oper. Res., 2007)

A Compressed-Annealing Heuristic for the Traveling Salesman Problem with Time Windows. - Jeffrey W. Ohlmann; Barrett W. Thomas (INFORMS J. Comput., 2007)

Waiting Strategies for Anticipating Service Requests from Known Customer Locations. - Barrett W. Thomas (Transp. Sci., 2007)

Probabilistic Traveling Salesman Problem with Deadlines. - Ann Melissa Campbell; Barrett W. Thomas (Transp. Sci., 2008)

Route Design for Lean Production Systems. - Jeffrey W. Ohlmann; Michael J. Fry 001; Barrett W. Thomas (Transp. Sci., 2008)

Runtime reduction techniques for the probabilistic traveling salesman problem with deadlines. - Ann Melissa Campbell; Barrett W. Thomas (Comput. Oper. Res., 2009)

The stochastic p-hub center problem with service-level constraints. - Thaddeus Sim; Timothy J. Lowe; Barrett W. Thomas (Comput. Oper. Res., 2009)

Minimax flow tree problems. - Hui Chen; Ann Melissa Campbell; Barrett W. Thomas; Arie Tamir (Networks, 2009)

The orienteering problem with stochastic travel and service times. - Ann Melissa Campbell; Michel Gendreau; Barrett W. Thomas (Ann. Oper. Res., 2011)

Network design for time-constrained delivery using subgraphs. - Hui Chen; Ann Melissa Campbell; Barrett W. Thomas (Comput. Manag. Sci., 2012)

Cyclic-order neighborhoods with application to the vehicle routing problem with stochastic demand. - Justin C. Goodson; Jeffrey W. Ohlmann; Barrett W. Thomas (Eur. J. Oper. Res., 2012)

A Comparison of Anticipatory Algorithms for the Dynamic and Stochastic Traveling Salesman Problem. - Gianpaolo Ghiani; Emanuele Manni; Barrett W. Thomas (Transp. Sci., 2012)

The travelling salesman problem with time windows: Adapting algorithms from travel-time to makespan optimization. - Manuel López-Ibáñez 001; Christian Blum 001; Jeffrey W. Ohlmann; Barrett W. Thomas (Appl. Soft Comput., 2013)

The probabilistic traveling salesman problem with time windows. - Stacy A. Voccia; Ann M. Campbell; Barrett W. Thomas (EURO J. Transp. Logist., 2013)

Rollout Policies for Dynamic Solutions to the Multivehicle Routing Problem with Stochastic Demand and Duration Limits. - Justin C. Goodson; Jeffrey W. Ohlmann; Barrett W. Thomas (Oper. Res., 2013)

Scheduled penalty Variable Neighborhood Search. - Barrett W. Thomas; Emanuele Manni (Comput. Oper. Res., 2014)

A priori orienteering with time windows and stochastic wait times at customers. - Shu Zhang 003; Jeffrey W. Ohlmann; Barrett W. Thomas (Eur. J. Oper. Res., 2014)

Integer programming techniques for solving non-linear workforce planning models with learning. - Mike Hewitt; Austin Chacosky; Scott E. Grasman; Barrett W. Thomas (Eur. J. Oper. Res., 2015)

Integer programming techniques for makespan minimizing workforce assignment models that recognize human learning. - Huan Jin; Barrett W. Thomas; Mike Hewitt (Comput. Ind. Eng., 2016)

Harvest logistics in agricultural systems with multiple, independent producers and no on-farm storage. - Kamal Lamsal; Philip C. Jones; Barrett W. Thomas (Comput. Ind. Eng., 2016)

Data-driven approaches for emissions-minimized paths in urban areas. - Jan Fabian Ehmke; Ann Melissa Campbell; Barrett W. Thomas (Comput. Oper. Res., 2016)

Vehicle routing to minimize time-dependent emissions in urban areas. - Jan Fabian Ehmke; Ann Melissa Campbell; Barrett W. Thomas (Eur. J. Oper. Res., 2016)

Restocking-Based Rollout Policies for the Vehicle Routing Problem with Stochastic Demand and Duration Limits. - Justin C. Goodson; Barrett W. Thomas; Jeffrey W. Ohlmann (Transp. Sci., 2016)

Multi-period technician scheduling with experience-based service times and stochastic customers. - Xi Chen; Barrett W. Thomas; Mike Hewitt (Comput. Oper. Res., 2017)

A rollout algorithm framework for heuristic solutions to finite-horizon stochastic dynamic programs. - Justin C. Goodson; Barrett W. Thomas; Jeffrey W. Ohlmann (Eur. J. Oper. Res., 2017)

A matheuristic for workforce planning with employee learning and stochastic demand. - Silviya Valeva; Mike Hewitt; Barrett W. Thomas (Int. J. Prod. Res., 2017)

Sugarcane Harvest Logistics in Brazil. - Kamal Lamsal; Philip C. Jones; Barrett W. Thomas (Transp. Sci., 2017)

Workforce grouping and assignment with learning-by-doing and knowledge transfer. - Huan Jin; Mike Hewitt; Barrett W. Thomas (Int. J. Prod. Res., 2018)

Same-day delivery with heterogeneous fleets of drones and vehicles. - Marlin W. Ulmer; Barrett W. Thomas (Networks, 2018)

Special Issue on Uncertainty in Logistics and Transportation Systems. - Mike Hewitt; Barrett W. Thomas (Transp. Sci., 2018)

Dynamic Orienteering on a Network of Queues. - Shu Zhang 003; Jeffrey W. Ohlmann; Barrett W. Thomas (Transp. Sci., 2018)

Deep Q-Learning for Same-Day Delivery with a Heterogeneous Fleet of Vehicles and Drones. - Xinwei Chen; Marlin W. Ulmer; Barrett W. Thomas (CoRR, 2019)

Preemptive depot returns for dynamic same-day delivery. - Marlin W. Ulmer; Barrett W. Thomas; Dirk C. Mattfeld (EURO J. Transp. Logist., 2019)

Team orienteering with uncertain rewards and service times with an application to phlebotomist intrahospital routing. - Huan Jin; Barrett W. Thomas (Networks, 2019)

An exact bidirectional A⋆ approach for solving resource-constrained shortest path problems. - Barrett W. Thomas; Tobia Calogiuri; Mike Hewitt (Networks, 2019)

Enough Waiting for the Cable Guy - Estimating Arrival Times for Service Vehicle Routing. - Marlin W. Ulmer; Barrett W. Thomas (Transp. Sci., 2019)

The Same-Day Delivery Problem for Online Purchases. - Stacy A. Voccia; Ann Melissa Campbell; Barrett W. Thomas (Transp. Sci., 2019)

Same-Day Delivery with Fairness. - Xinwei Chen; Tong Wang; Barrett W. Thomas; Marlin W. Ulmer (CoRR, 2020)

On modeling stochastic dynamic vehicle routing problems. - Marlin W. Ulmer; Justin C. Goodson; Dirk C. Mattfeld; Barrett W. Thomas (EURO J. Transp. Logist., 2020)

Meso-parametric value function approximation for dynamic customer acceptances in delivery routing. - Marlin W. Ulmer; Barrett W. Thomas (Eur. J. Oper. Res., 2020)

Multi-period orienteering with uncertain adoption likelihood and waiting at customers. - Shu Zhang 003; Jeffrey W. Ohlmann; Barrett W. Thomas (Eur. J. Oper. Res., 2020)

Building Trust in Home Services - Stochastic Team-Orienteering with Consistency Constraints. - Yongjia Song; Marlin W. Ulmer; Barrett W. Thomas; Stein W. Wallace (Transp. Sci., 2020)

Where the Action is: Let's make Reinforcement Learning for Stochastic Dynamic Vehicle Routing Problems work! - Florentin D. Hildebrandt; Barrett W. Thomas; Marlin W. Ulmer (CoRR, 2021)

Managing uncertainty in demand through inventory and workforce development. - Silviya Valeva; Mike Hewitt; Barrett W. Thomas (Int. J. Prod. Res., 2021)

"Make no little plans": Impactful research to solve the next generation of transportation problems. - Niels A. H. Agatz; Mike Hewitt; Barrett W. Thomas (Networks, 2021)

The Restaurant Meal Delivery Problem: Dynamic Pickup and Delivery with Deadlines and Random Ready Times. - Marlin W. Ulmer; Barrett W. Thomas; Ann Melissa Campbell; Nicholas Woyak (Transp. Sci., 2021)

Deep Q-learning for same-day delivery with vehicles and drones. - Xinwei Chen; Marlin W. Ulmer; Barrett W. Thomas (Eur. J. Oper. Res., 2022)

The Value of Autonomous Vehicles for Last-Mile Deliveries in Urban Environments. - Sara Reed; Ann Melissa Campbell; Barrett W. Thomas (Manag. Sci., 2022)

Impact of Autonomous Vehicle Assisted Last-Mile Delivery in Urban to Rural Settings. - Sara Reed; Ann Melissa Campbell; Barrett W. Thomas (Transp. Sci., 2022)

Rollout-based routing strategies with embedded prediction: A fish trawling application. - Fahrettin Cakir; Barrett W. Thomas; W. Nick Street (Comput. Oper. Res., 2023)

Opportunities for reinforcement learning in stochastic dynamic vehicle routing. - Florentin D. Hildebrandt; Barrett W. Thomas; Marlin W. Ulmer (Comput. Oper. Res., 2023)

Optimizing warfarin dosing using deep reinforcement learning. - Sadjad Anzabi Zadeh; W. Nick Street; Barrett W. Thomas (J. Biomed. Informatics, 2023)

Same-day delivery with fair customer service. - Xinwei Chen; Tong Wang; Barrett W. Thomas; Marlin W. Ulmer (Eur. J. Oper. Res., 2023)

Special Issue on Emerging Topics in Transportation Science and Logistics. - Karen R. Smilowitz; Jean-François Cordeau; Barrett W. Thomas; David Pisinger; Yafeng Yin 001; Ann M. Campbell (Transp. Sci., 2023)

An Explainable Deep Reinforcement Learning Model for Warfarin Maintenance Dosing Using Policy Distillation and Action Forging. - Sadjad Anzabi Zadeh; W. Nick Street; Barrett W. Thomas (CoRR, 2024)

Learning State-Dependent Policy Parametrizations for Dynamic Technician Routing with Rework. - Jonas Stein 004; Florentin D. Hildebrandt; Barrett W. Thomas; Marlin W. Ulmer (CoRR, 2024)

Optimal Service Time Windows. - Marlin W. Ulmer; Justin C. Goodson; Barrett W. Thomas (Transp. Sci., 2024)

To Start Up a Start-Up-Embedding Strategic Demand Development in Operational On-Demand Fulfillment via Reinforcement Learning with Information Shaping. - Xinwei Chen; Marlin W. Ulmer; Barrett W. Thomas (CoRR, 2025)