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Barrett W. Thomas
Barrett W. Thomas
Professor, Department of Business Analytics, University of Iowa
Bestätigte E-Mail-Adresse bei uiowa.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
The same-day delivery problem for online purchases
SA Voccia, AM Campbell, BW Thomas
Transportation Science 53 (1), 167-184, 2019
2962019
Same‐day delivery with heterogeneous fleets of drones and vehicles
MW Ulmer, BW Thomas
Networks 72 (4), 475-505, 2018
2502018
The stochastic p-hub center problem with service-level constraints
T Sim, TJ Lowe, BW Thomas
Computers & operations research 36 (12), 3166-3177, 2009
2322009
The restaurant meal delivery problem: Dynamic pickup and delivery with deadlines and random ready times
MW Ulmer, BW Thomas, AM Campbell, N Woyak
Transportation Science 55 (1), 75-100, 2021
2032021
A compressed-annealing heuristic for the traveling salesman problem with time windows
JW Ohlmann, BW Thomas
INFORMS Journal on Computing 19 (1), 80-90, 2007
1852007
On modeling stochastic dynamic vehicle routing problems
MW Ulmer, JC Goodson, DC Mattfeld, BW Thomas
EURO Journal on Transportation and Logistics 9 (2), 100008, 2020
180*2020
The orienteering problem with stochastic travel and service times
AM Campbell, M Gendreau, BW Thomas
Annals of Operations Research 186 (1), 61-81, 2011
1752011
Vehicle routing to minimize time-dependent emissions in urban areas
JF Ehmke, AM Campbell, BW Thomas
European Journal of Operational Research 251 (2), 478-494, 2016
1742016
Waiting strategies for anticipating service requests from known customer locations
BW Thomas
Transportation Science 41 (3), 319-331, 2007
1652007
Probabilistic traveling salesman problem with deadlines
AM Campbell, BW Thomas
Transportation Science 42 (1), 1-21, 2008
1402008
Deep Q-learning for same-day delivery with vehicles and drones
X Chen, MW Ulmer, BW Thomas
European Journal of Operational Research 298 (3), 939-952, 2022
137*2022
Anticipatory route selection
BW Thomas, CC White Iii
Transportation Science 38 (4), 473-487, 2004
1322004
Rollout policies for dynamic solutions to the multivehicle routing problem with stochastic demand and duration limits
JC Goodson, JW Ohlmann, BW Thomas
Operations Research 61 (1), 138-154, 2013
1312013
Preemptive depot returns for dynamic same-day delivery
MW Ulmer, BW Thomas, DC Mattfeld
EURO journal on Transportation and Logistics 8 (4), 327-361, 2019
1182019
A rollout algorithm framework for heuristic solutions to finite-horizon stochastic dynamic programs
JC Goodson, BW Thomas, JW Ohlmann
European Journal of Operational Research 258 (1), 216-229, 2017
1072017
Cyclic-order neighborhoods with application to the vehicle routing problem with stochastic demand
JC Goodson, JW Ohlmann, BW Thomas
European Journal of Operational Research 217 (2), 312-323, 2012
952012
The dynamic shortest path problem with anticipation
BW Thomas, CC White III
European journal of operational research 176 (2), 836-854, 2007
912007
A comparison of anticipatory algorithms for the dynamic and stochastic traveling salesman problem
G Ghiani, E Manni, BW Thomas
Transportation Science 46 (3), 374-387, 2012
882012
Opportunities for reinforcement learning in stochastic dynamic vehicle routing
FD Hildebrandt, BW Thomas, MW Ulmer
Computers & operations research 150, 106071, 2023
85*2023
The technician routing problem with experience-based service times
X Chen, BW Thomas, M Hewitt
Omega 61, 49-61, 2016
792016
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