| Year |
Citation |
Score |
| 2020 |
Han W, Powell WB. Optimal Online Learning for Nonlinear Belief Models Using Discrete Priors Operations Research. DOI: 10.1287/Opre.2019.1921 |
0.336 |
|
| 2020 |
He X, Reyes KG, Powell WB. Optimal Learning with Local Nonlinear Parametric Models over Continuous Designs Siam Journal On Scientific Computing. 42. DOI: 10.1137/19M1245608 |
0.418 |
|
| 2020 |
Moazeni S, Scott WR, Powell WB. Least squares policy iteration with instrumental variables vs. direct policy search: comparison against optimal benchmarks using energy storage Infor. 58: 141-166. DOI: 10.1080/03155986.2019.1624491 |
0.546 |
|
| 2020 |
Al-Kanj L, Nascimento JM, Powell WB. Approximate dynamic programming for planning a ride-hailing system using autonomous fleets of electric vehicles European Journal of Operational Research. 284: 1088-1106. DOI: 10.1016/J.Ejor.2020.01.033 |
0.477 |
|
| 2019 |
Ryzhov IO, Mes MRK, Powell WB, Berg Gvd. Bayesian Exploration for Approximate Dynamic Programming Operations Research. 67: 198-214. DOI: 10.1287/Opre.2018.1772 |
0.471 |
|
| 2019 |
Lee D, Powell WB. Bias-Corrected Q-Learning With Multistate Extension Ieee Transactions On Automatic Control. 64: 4011-4023. DOI: 10.1109/Tac.2019.2912443 |
0.333 |
|
| 2019 |
Powell WB. A unified framework for stochastic optimization European Journal of Operational Research. 275: 795-821. DOI: 10.1016/J.Ejor.2018.07.014 |
0.471 |
|
| 2018 |
Salas DF, Powell WB. Benchmarking a Scalable Approximate Dynamic Programming Algorithm for Stochastic Control of Grid-Level Energy Storage Informs Journal On Computing. 30: 106-123. DOI: 10.1287/Ijoc.2017.0768 |
0.768 |
|
| 2018 |
He X, Hu Y, Powell WB. Optimal Learning for Nonlinear Parametric Belief Models Over Multidimensional Continuous Spaces Siam Journal On Optimization. 28: 2945-2974. DOI: 10.1137/17M1129301 |
0.388 |
|
| 2018 |
Wang Y, Powell WB. Finite-time analysis for the knowledge-gradient policy Siam Journal On Control and Optimization. 56: 1105-1129. DOI: 10.1137/16M1073388 |
0.466 |
|
| 2018 |
He X, Powell WB. Optimal Learning for Stochastic Optimization with Nonlinear Parametric Belief Models Siam Journal On Optimization. 28: 2327-2359. DOI: 10.1137/16M1073042 |
0.437 |
|
| 2018 |
Asamov T, Powell WB. Regularized Decomposition of High-Dimensional Multistage Stochastic Programs with Markov Uncertainty Siam Journal On Optimization. 28: 575-595. DOI: 10.1137/16M1072231 |
0.505 |
|
| 2018 |
Cheng B, Asamov T, Powell WB. Low-Rank Value Function Approximation for Co-Optimization of Battery Storage Ieee Transactions On Smart Grid. 9: 6590-6598. DOI: 10.1109/Tsg.2017.2716382 |
0.495 |
|
| 2018 |
Cheng B, Powell WB. Co-Optimizing Battery Storage for the Frequency Regulation and Energy Arbitrage Using Multi-Scale Dynamic Programming Ieee Transactions On Smart Grid. 9: 1997-2005. DOI: 10.1109/Tsg.2016.2605141 |
0.453 |
|
| 2018 |
Khazaei J, Powell WB. SMART-Invest: a stochastic, dynamic planning for optimizing investments in wind, solar, and storage in the presence of fossil fuels. The case of the PJM electricity market Energy Systems. 9: 277-303. DOI: 10.1007/S12667-016-0226-4 |
0.391 |
|
| 2017 |
Khazaei J, Coulon M, Powell WB. ADAPT: A Price-Stabilizing Compliance Policy for Renewable Energy Certificates: The Case of SREC Markets Operations Research. 65: 1429-1445. DOI: 10.1287/Opre.2017.1641 |
0.304 |
|
| 2017 |
Jiang DR, Powell WB. Risk-Averse Approximate Dynamic Programming with Quantile-Based Risk Measures Mathematics of Operations Research. 43: 554-579. DOI: 10.1287/Moor.2017.0872 |
0.331 |
|
| 2017 |
Moazeni S, Powell WB, Defourny B, Bouzaiene-Ayari B. Parallel Nonstationary Direct Policy Search for Risk-Averse Stochastic Optimization Informs Journal On Computing. 29: 332-349. DOI: 10.1287/Ijoc.2016.0733 |
0.477 |
|
| 2016 |
Bouzaiene-Ayari B, Cheng C, Das S, Fiorillo R, Powell WB. From single commodity to multiattribute models for locomotive optimization: A comparison of optimal integer programming and approximate dynamic programming Transportation Science. 50: 366-389. DOI: 10.1287/Trsc.2014.0536 |
0.48 |
|
| 2016 |
Jamshidi AA, Powell WB. A Recursive Local Polynomial Approximation Method Using Dirichlet Clouds and Radial Basis Functions Siam Journal On Scientific Computing. 38. DOI: 10.1137/15M1008592 |
0.401 |
|
| 2016 |
Powell WB, Meisel S. Tutorial on Stochastic Optimization in Energy - Part II: An Energy Storage Illustration Ieee Transactions On Power Systems. 31: 1468-1475. DOI: 10.1109/Tpwrs.2015.2424980 |
0.469 |
|
| 2016 |
Powell WB, Meisel S. Tutorial on Stochastic Optimization in Energy - Part I: Modeling and Policies Ieee Transactions On Power Systems. 31: 1459-1467. DOI: 10.1109/Tpwrs.2015.2424974 |
0.495 |
|
| 2016 |
Moazeni S, Coulon M, Rueda IA, Song B, Powell WB. A non-parametric structural hybrid modeling approach for electricity prices Quantitative Finance. 16: 213-230. DOI: 10.1080/14697688.2015.1114363 |
0.311 |
|
| 2016 |
Powell WB. Perspectives of approximate dynamic programming Annals of Operations Research. 241: 319-356. DOI: 10.1007/S10479-012-1077-6 |
0.449 |
|
| 2015 |
Jiang DR, Powell WB. An approximate dynamic programming algorithm for monotone value functions Operations Research. 63: 1489-1511. DOI: 10.1287/Opre.2015.1425 |
0.507 |
|
| 2015 |
Defourny B, Ryzhov IO, Powell WB. Optimal information blending with measurements in the L2 sphere Mathematics of Operations Research. 40: 1060-1088. DOI: 10.1287/Moor.2015.0712 |
0.468 |
|
| 2015 |
Jiang DR, Powell WB. Optimal hour-Ahead bidding in the real-time electricity market with battery storage using approximate dynamic programming Informs Journal On Computing. 27: 525-543. DOI: 10.1287/Ijoc.2015.0640 |
0.437 |
|
| 2015 |
Chen S, Reyes KG, Gupta MK, McAlpine MC, Powell WB. Optimal Learning in Experimental Design Using the Knowledge Gradient Policy with Application to Characterizing Nanoemulsion Stability Siam/Asa Journal On Uncertainty Quantification. 3: 320-345. DOI: 10.1137/140971129 |
0.428 |
|
| 2015 |
Wang Y, Reyes KG, Brown KA, Mirkin CA, Powell WB. Nested-batch-mode learning and stochastic optimization with an application to sequential multistage testing in materials science Siam Journal On Scientific Computing. 37: B361-B381. DOI: 10.1137/140971117 |
0.381 |
|
| 2015 |
Ryzhov IO, Frazier PI, Powell WB. A new optimal stepsize for approximate dynamic programming Ieee Transactions On Automatic Control. 60: 743-758. DOI: 10.1109/Tac.2014.2357134 |
0.456 |
|
| 2015 |
Cheng B, Jamshidi A, Powell WB. Optimal learning with a local parametric belief model Journal of Global Optimization. 63: 401-425. DOI: 10.1007/S10898-015-0299-Y |
0.415 |
|
| 2014 |
Powell WB. Energy and uncertainty: Models and algorithms for complex energy systems Ai Magazine. 35: 8-21. DOI: 10.1609/Aimag.V35I3.2540 |
0.44 |
|
| 2014 |
Klabjan D, Powell W. Guest Editorial: Special issue on energy and transportation Transportation Science. 48: 465-466. DOI: 10.1287/Trsc.2014.0570 |
0.431 |
|
| 2014 |
Powell WB, Bouzaiene-Ayari B, Lawrence C, Cheng C, Das S, Fiorillo R. Locomotive planning at norfolk southern: An optimizing simulator using approximate dynamic programming Interfaces. 44: 567-578. DOI: 10.1287/Inte.2014.0741 |
0.445 |
|
| 2014 |
Hannah LA, Powell WB, Dunson DB. Semiconvex regression for metamodeling-based optimization Siam Journal On Optimization. 24: 573-597. DOI: 10.1137/130907070 |
0.806 |
|
| 2014 |
Moazeni S, Powell WB, Hajimiragha AH. Mean-Conditional Value-at-Risk Optimal Energy Storage Operation in the Presence of Transaction Costs Ieee Transactions On Power Systems. DOI: 10.1109/Tpwrs.2014.2341642 |
0.344 |
|
| 2014 |
Jiang DR, Pham TV, Powell WB, Salas DF, Scott WR. A comparison of approximate dynamic programming techniques on benchmark energy storage problems: Does anything work? Ieee Ssci 2014 - 2014 Ieee Symposium Series On Computational Intelligence - Adprl 2014: 2014 Ieee Symposium On Adaptive Dynamic Programming and Reinforcement Learning, Proceedings. DOI: 10.1109/ADPRL.2014.7010626 |
0.791 |
|
| 2014 |
Shi N, Song H, Powell WB. The dynamic fleet management problem with uncertain demand and customer chosen service level International Journal of Production Economics. 148: 110-121. DOI: 10.1016/J.Ijpe.2013.09.010 |
0.463 |
|
| 2014 |
Barut E, Powell WB. Optimal learning for sequential sampling with non-parametric beliefs Journal of Global Optimization. 58: 517-543. DOI: 10.1007/S10898-013-0050-5 |
0.369 |
|
| 2013 |
Guan Y, Fu Y, Liu C, Powell W, Ryan S, Watson J, Wu L. Guest Editorial: Introduction to the special section on optimization methods and algorithms applied to smart grid Ieee Transactions On Smart Grid. 4: 2121-2121. DOI: 10.1109/Tsg.2013.2291698 |
0.356 |
|
| 2013 |
Simão HP, Jeong HB, Defourny B, Powell WB, Boulanger A, Gagneja A, Wu L, Anderson RN. A robust solution to the load curtailment problem Ieee Transactions On Smart Grid. 4: 2209-2219. DOI: 10.1109/Tsg.2013.2276754 |
0.469 |
|
| 2013 |
Nascimento J, Powell WB. An optimal approximate dynamic programming algorithm for concave, scalar storage problems with vector-valued controls Ieee Transactions On Automatic Control. 58: 2995-3010. DOI: 10.1109/Tac.2013.2272973 |
0.508 |
|
| 2013 |
Defourny B, Simao HP, Powell WB. Robust forecasting for unit commitment with wind Proceedings of the Annual Hawaii International Conference On System Sciences. 2337-2344. DOI: 10.1109/HICSS.2013.468 |
0.305 |
|
| 2013 |
Coulon M, Powell WB, Sircar R. A model for hedging load and price risk in the Texas electricity market Energy Economics. 40: 976-988. DOI: 10.1016/J.Eneco.2013.05.020 |
0.337 |
|
| 2013 |
Dayanik S, Powell WB, Yamazaki K. Asymptotically optimal Bayesian sequential change detection and identification rules Annals of Operations Research. 208: 337-370. DOI: 10.1007/S10479-012-1121-6 |
0.584 |
|
| 2012 |
Ryzhov IO, Powell WB, Frazier PI. The knowledge gradient algorithm for a general class of online learning problems Operations Research. 60: 180-195. DOI: 10.1287/Opre.1110.0999 |
0.423 |
|
| 2012 |
Powell WB, George A, Simão H, Scott W, Lamont A, Stewart J. SMART: A stochastic multiscale model for the analysis of energy resources, technology, and policy Informs Journal On Computing. 24: 665-682. DOI: 10.1287/Ijoc.1110.0470 |
0.61 |
|
| 2012 |
Ryzhov IO, Powell WB. Information collection for linear programs with uncertain objective coefficients Siam Journal On Optimization. 22: 1344-1368. DOI: 10.1137/12086279X |
0.459 |
|
| 2012 |
He M, Zhao L, Powell WB. Approximate dynamic programming algorithms for optimal dosage decisions in controlled ovarian hyperstimulation European Journal of Operational Research. 222: 328-340. DOI: 10.1016/J.Ejor.2012.03.049 |
0.436 |
|
| 2012 |
Powell WB, Simao HP, Bouzaiene-Ayari B. Approximate dynamic programming in transportation and logistics: a unified framework Euro Journal On Transportation and Logistics. 1: 237-284. DOI: 10.1007/S13676-012-0015-8 |
0.479 |
|
| 2011 |
Kim JH, Powell WB. Optimal energy commitments with storage and intermittent supply Operations Research. 59: 1347-1360. DOI: 10.1287/Opre.1110.0971 |
0.373 |
|
| 2011 |
Ryzhov IO, Powell WB. Information collection on a graph Operations Research. 59: 188-201. DOI: 10.1287/Opre.1100.0873 |
0.378 |
|
| 2011 |
Negoescu DM, Frazier PI, Powell WB. The knowledge-gradient algorithm for sequencing experiments in drug discovery Informs Journal On Computing. 23: 346-363. DOI: 10.1287/Ijoc.1100.0417 |
0.403 |
|
| 2011 |
Powell WB, Bouzaiene-Ayari B, Berger J, Boukhtouta A, George AP. The effect of robust decisions on the cost of uncertainty in military airlift operations Acm Transactions On Modeling and Computer Simulation. 22. DOI: 10.1145/2043635.2043636 |
0.391 |
|
| 2011 |
Scott W, Frazier P, Powell WB. The Correlated Knowledge Gradient for Simulation Optimization of Continuous Parameters using Gaussian Process Regression Siam Journal On Optimization. 21: 996-1026. DOI: 10.1137/100801275 |
0.625 |
|
| 2011 |
Frazier PI, Powell WB. Consistency of sequential bayesian sampling policies Siam Journal On Control and Optimization. 49: 712-731. DOI: 10.1137/090775026 |
0.39 |
|
| 2011 |
Ryzhov IO, Powell WB. The value of information in multi-armed bandits with exponentially distributed rewards Procedia Computer Science. 4: 1363-1372. DOI: 10.1016/j.procs.2011.04.147 |
0.343 |
|
| 2011 |
Kim JH, Powell WB. An hour-ahead prediction model for heavy-tailed spot prices Energy Economics. 33: 1252-1266. DOI: 10.1016/J.Eneco.2011.06.007 |
0.307 |
|
| 2011 |
Powell WB, Ma J. A review of stochastic algorithms with continuous value function approximation and some new approximate policy iteration algorithms for multidimensional continuous applications Journal of Control Theory and Applications. 9: 336-352. DOI: 10.1007/S11768-011-0313-Y |
0.429 |
|
| 2011 |
Hannah LA, Blei DM, Powell WB. Dirichlet process mixtures of generalized linear models Journal of Machine Learning Research. 12: 1923-1953. |
0.756 |
|
| 2010 |
Nascimento J, Powell W. Dynamic Programming Models and Algorithms for the Mutual Fund Cash Balance Problem Management Science. 56: 801-815. DOI: 10.1287/Mnsc.1100.1143 |
0.47 |
|
| 2010 |
Simão HP, George A, Powell WB, Gifford T, Nienow J, Day J. Approximate dynamic programming captures fleet operations for Schneider National Interfaces. 40: 342-352. DOI: 10.1287/Inte.1100.0510 |
0.422 |
|
| 2010 |
Powell WB. The languages of stochastic optimization Informs Journal On Computing. 22: 23-25. DOI: 10.1287/Ijoc.1090.0352 |
0.438 |
|
| 2010 |
Powell WB. Merging AI and OR to solve high-dimensional stochastic optimization problems using approximate dynamic programming Informs Journal On Computing. 22: 2-17. DOI: 10.1287/Ijoc.1090.0349 |
0.502 |
|
| 2010 |
Frazier PI, Powell WB. Paradoxes in learning and the marginal value of information Decision Analysis. 7: 378-403. DOI: 10.1287/Deca.1100.0190 |
0.415 |
|
| 2010 |
Hannah LA, Powell WB. Evolutionary policy iteration under a sampling regime for stochastic combinatorial optimization Ieee Transactions On Automatic Control. 55: 1254-1257. DOI: 10.1109/Tac.2010.2042766 |
0.808 |
|
| 2010 |
Ryzhov IO, Powell WB. Approximate dynamic programming with correlated Bayesian beliefs 2010 48th Annual Allerton Conference On Communication, Control, and Computing, Allerton 2010. 1360-1367. DOI: 10.1109/ALLERTON.2010.5707072 |
0.331 |
|
| 2010 |
Enders J, Powell WB, Egan DM. Robust policies for the transformer acquisition and allocation problem Energy Systems. 1: 245-272. DOI: 10.1007/S12667-010-0011-8 |
0.596 |
|
| 2010 |
Hannah L, Powell WB, Stewart J. One-stage R&D portfolio optimization with an application to solid oxide fuel cells Energy Systems. 1: 141-163. DOI: 10.1007/S12667-009-0008-3 |
0.43 |
|
| 2010 |
Enders J, Powell WB, Egan D. A dynamic model for the failure replacement of aging high-voltage transformers Energy Systems. 1: 31-59. DOI: 10.1007/S12667-009-0006-5 |
0.669 |
|
| 2010 |
Ronconi DP, Powell WB. Minimizing total tardiness in a stochastic single machine scheduling problem using approximate dynamic programming Journal of Scheduling. 13: 597-607. DOI: 10.1007/S10951-009-0160-6 |
0.454 |
|
| 2010 |
He M, Zhao L, Powell WB. Optimal control of dosage decisions in controlled ovarian hyperstimulation Annals of Operations Research. 178: 223-245. DOI: 10.1007/S10479-009-0563-Y |
0.383 |
|
| 2010 |
Hannah LA, Powell WB, Blei DM. Nonparametric density estimation for stochastic optimization with an observable state variable Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
0.764 |
|
| 2009 |
Simão HP, Day J, George AP, Gifford T, Nienow J, Powell WB. An approximate dynamic programming algorithm for large-scale fleet management: A case application Transportation Science. 43: 178-197. DOI: 10.1287/Trsc.1080.0238 |
0.461 |
|
| 2009 |
Nascimento JM, Powell WB. An optimal approximate dynamic programming algorithm for the lagged asset acquisition problem Mathematics of Operations Research. 34: 210-237. DOI: 10.1287/Moor.1080.0360 |
0.499 |
|
| 2009 |
Frazier P, Powell W, Dayanik S. The knowledge-gradient policy for correlated normal beliefs Informs Journal On Computing. 21: 599-613. DOI: 10.1287/Ijoc.1080.0314 |
0.44 |
|
| 2009 |
Wu TT, Powell WB, Whisman A. The optimizing-simulator: An illustration using the military airlift problem Acm Transactions On Modeling and Computer Simulation. 19. DOI: 10.1145/1540530.1540535 |
0.513 |
|
| 2009 |
Frazier P, Powell WB, Simão HP. Simulation model calibration with correlated knowledge-gradients Proceedings - Winter Simulation Conference. 339-351. DOI: 10.1109/WSC.2009.5429345 |
0.357 |
|
| 2009 |
Simão HP, Powell WB. Approximate Dynamic Programming For Management Of High Value Spare Parts Journal of Manufacturing Technology Management. 20: 147-160. DOI: 10.1108/17410380910929592 |
0.464 |
|
| 2009 |
Marar A, Powell WB. Capturing incomplete information in resource allocation problems through numerical patterns European Journal of Operational Research. 197: 50-58. DOI: 10.1016/J.Ejor.2008.06.002 |
0.791 |
|
| 2009 |
Powell WB. What you should know about approximate dynamic programming Naval Research Logistics. 56: 239-249. DOI: 10.1002/Nav.20347 |
0.438 |
|
| 2008 |
Dayanik S, Powell W, Yamazaki K. Index policies for discounted bandit problems with availability constraints Advances in Applied Probability. 40: 377-400. DOI: 10.1239/Aap/1214950209 |
0.589 |
|
| 2008 |
Frazier PI, Powell WB, Dayanik S. A knowledge-gradient policy for sequential information collection Siam Journal On Control and Optimization. 47: 2410-2439. DOI: 10.1137/070693424 |
0.374 |
|
| 2008 |
Powell WB. Approximate dynamic programming: Lessons from the field Proceedings - Winter Simulation Conference. 205-214. DOI: 10.1109/WSC.2008.4736069 |
0.403 |
|
| 2008 |
Cheung RK, Shi N, Powell WB, Simao HP. An attribute-decision model for cross-border drayage problem Transportation Research Part E: Logistics and Transportation Review. 44: 217-234. DOI: 10.1016/J.Tre.2007.07.009 |
0.424 |
|
| 2007 |
Topaloglu H, Powell W. Incorporating pricing decisions into the stochastic dynamic fleet management problem Transportation Science. 41: 281-301. DOI: 10.1287/Trsc.1070.0196 |
0.646 |
|
| 2007 |
Topaloglu H, Powell WB. Sensitivity analysis of a dynamic fleet management model using approximate dynamic programming Operations Research. 55: 319-331. DOI: 10.1287/Opre.1060.0347 |
0.635 |
|
| 2007 |
Papadaki K, Powell WB. Monotonicity in multidimensional Markov decision processes for the batch dispatch problem Operations Research Letters. 35: 267-272. DOI: 10.1016/J.Orl.2006.03.013 |
0.771 |
|
| 2007 |
Powell WB, Bouzaiene-Ayari B. Approximate dynamic programming for rail operations Openaccess Series in Informatics. 7: 191-208. |
0.408 |
|
| 2006 |
Shapiro JA, Powell WB. A metastrategy for large-scale resource management based on informational decomposition Informs Journal On Computing. 18: 43-60. DOI: 10.1287/Ijoc.1040.0111 |
0.492 |
|
| 2006 |
Topaloglu H, Powell WB. Dynamic-programming approximations for stochastic time-staged integer multicommodity-flow problems Informs Journal On Computing. 18: 31-42. DOI: 10.1287/Ijoc.1040.0079 |
0.674 |
|
| 2006 |
Marar A, Powell WB, Kulkarni S. Combining cost-based and rule-based knowledge in complex resource allocation problems Iie Transactions (Institute of Industrial Engineers). 38: 159-172. DOI: 10.1080/07408170500333384 |
0.796 |
|
| 2006 |
George AP, Powell WB. Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming Machine Learning. 65: 167-198. DOI: 10.1007/S10994-006-8365-9 |
0.411 |
|
| 2005 |
Topaloglu H, Powell WB. A distributed decision-making structure for dynamic resource allocation using nonlinear functional approximations Operations Research. 53: 281-297. DOI: 10.1287/Opre.1040.0166 |
0.657 |
|
| 2005 |
Powell WB. The optimizing-simulator: Merging simulation and optimization using approximate dynamic programming Proceedings - Winter Simulation Conference. 2005: 96-109. DOI: 10.1109/WSC.2005.1574243 |
0.345 |
|
| 2005 |
Powell WB, George A, Bouzaiene-Ayari B, Simao HP. Approximate dynamic programming for high dimensional resource allocation problems Proceedings of the International Joint Conference On Neural Networks. 5: 2989-2994. DOI: 10.1109/IJCNN.2005.1556401 |
0.358 |
|
| 2005 |
Dall'Orto LC, Crainic TG, Leal JE, Powell WB. The single-node dynamic service scheduling and dispatching problem European Journal of Operational Research. 170: 1-23. DOI: 10.1016/J.Ejor.2004.06.016 |
0.46 |
|
| 2004 |
Spivey MZ, Powell WB. The dynamic assignment problem Transportation Science. 38: 399-419. DOI: 10.1287/Trsc.1030.0073 |
0.499 |
|
| 2004 |
Powell W, Ruszczyński A, Topaloglu H. Learning algorithms for separable approximations of discrete stochastic optimization problems Mathematics of Operations Research. 29: 814-836. DOI: 10.1287/Moor.1040.0107 |
0.706 |
|
| 2004 |
Powell WB, Wu TT, Simao HP, Whisman A. Using low-dimensional patterns in optimizing simulators: An illustration for the military airlift problem Mathematical and Computer Modelling. 39: 657-675. DOI: 10.1016/S0895-7177(04)90547-X |
0.433 |
|
| 2003 |
Spivey MZ, Powell WB. Some fixed-point results for the dynamic assignment problem Annals of Operations Research. 124: 15-33. DOI: 10.1023/B:Anor.0000004760.20323.Fc |
0.506 |
|
| 2003 |
Powell WB, Topaloglu H. Stochastic Programming in Transportation and Logistics Handbooks in Operations Research and Management Science. 10: 555-635. DOI: 10.1016/S0927-0507(03)10009-6 |
0.609 |
|
| 2003 |
Topaloglu H, Powell WB. An algorithm for approximating piecewise linear concave functions from sample gradients Operations Research Letters. 31: 66-76. DOI: 10.1016/S0167-6377(02)00187-6 |
0.65 |
|
| 2003 |
Chen ZL, Powell WB. Exact algorithms for scheduling multiple families of jobs on parallel machines Naval Research Logistics. 50: 823-840. DOI: 10.1002/Nav.10091 |
0.421 |
|
| 2003 |
Papadaki KP, Powell WB. An adaptive dynamic programming algorithm for a stochastic multiproduct batch dispatch problem Naval Research Logistics. 50: 742-769. DOI: 10.1002/Nav.10087 |
0.798 |
|
| 2002 |
Powell WB, Shapiro JA, Simão HP. An adaptive dynamic programming algorithm for the heterogeneous resource allocation problem Transportation Science. 36: 231-249. DOI: 10.1287/Trsc.36.2.231.561 |
0.493 |
|
| 2002 |
Godfrey GA, Powell WB. An adaptive dynamic programming algorithm for dynamic fleet management, II: Multiperiod travel times Transportation Science. 36: 40-54. DOI: 10.1287/trsc.36.1.40.572 |
0.812 |
|
| 2002 |
Godfrey GA, Powell WB. An adaptive dynamic programming algorithm for dynamic fleet management, I: Single period travel times Transportation Science. 36: 21-39. DOI: 10.1287/Trsc.36.1.21.570 |
0.827 |
|
| 2002 |
Powell WB, Marar A, Gelfand J, Bowers S. Implementing real-time optimization models: A case application from the motor carrier industry Operations Research. 50: 571-581. DOI: 10.1287/Opre.50.4.571.2852 |
0.778 |
|
| 2002 |
Papadaki KP, Powell WB. Exploiting structure in adaptive dynamic programming algorithms for a stochastic batch service problem European Journal of Operational Research. 142: 108-127. DOI: 10.1016/S0377-2217(01)00297-1 |
0.77 |
|
| 2001 |
Godfrey GA, Powell WB. An adaptive, distribution-free algorithm for the newsvendor problem with censored demands, with applications to inventory and distribution Management Science. 47: 1101-1112. DOI: 10.1287/Mnsc.47.8.1101.10231 |
0.817 |
|
| 2001 |
Shapiro JA, Powell WB, Bernstein D. A Flexible Java Representation for Uncertainty in Online Operations-Research Models Informs Journal On Computing. 13: 29-55. DOI: 10.1287/Ijoc.13.1.29.9749 |
0.362 |
|
| 2001 |
Powell WB, Shapiro JA, Simao HP. A Representational Paradigm for Dynamic Resource Transformation Problems Annals of Operations Research. 104: 231-279. DOI: 10.1023/A:1013111608059 |
0.485 |
|
| 2000 |
Carvalho TA, Powell WB. Multiplier adjustment method for dynamic resource allocation problems Transportation Science. 34: 150-164. DOI: 10.1287/Trsc.34.2.150.12305 |
0.482 |
|
| 2000 |
Powell WB, Towns MT, Marar A. On the value of optimal myopic solutions for dynamic routing and scheduling problems in the presence of user noncompliance Transportation Science. 34: 67-85. DOI: 10.1287/Trsc.34.1.67.12283 |
0.796 |
|
| 2000 |
Powell WB, Snow W, Cheung RK. Adaptive labeling algorithms for the dynamic assignment problem Transportation Science. 34: 50-66. DOI: 10.1287/Trsc.34.1.50.12280 |
0.47 |
|
| 2000 |
Cheung RKM, Powell WB. Shape-a stochastic hybrid approximation procedure for two-stage stochastic programs Operations Research. 48: 73-79. DOI: 10.1287/Opre.48.1.73.12452 |
0.436 |
|
| 2000 |
Godfrey GA, Powell WB. Adaptive estimation of daily demands with complex calendar effects for freight transportation Transportation Research Part B: Methodological. 34: 451-469. DOI: 10.1016/S0965-8564(99)00032-4 |
0.786 |
|
| 1999 |
Chen ZL, Powell WB. Solving parallel machine scheduling problems by column generation Informs Journal On Computing. 11: 78-92. DOI: 10.1287/Ijoc.11.1.78 |
0.458 |
|
| 1999 |
Chen ZL, Powell WB. Column generation based decomposition algorithm for a parallel machine just-in-time scheduling problem European Journal of Operational Research. 116: 220-232. DOI: 10.1016/S0377-2217(98)00136-2 |
0.458 |
|
| 1998 |
Powell WB, Carvalho TA. Dynamic control of logistics queueing networks for large-scale fleet management Transportation Science. 32: 90-109. DOI: 10.1287/Trsc.32.2.90 |
0.479 |
|
| 1998 |
Powell WB, Carvalho TA. Real-time optimization of containers and flatcars for intermodal operations Transportation Science. 32: 110-126. DOI: 10.1287/Trsc.32.2.110 |
0.457 |
|
| 1997 |
Powell WB, Mayoras DE. Finding the Yellow Brick Road: Part 7, I Finally Have a Brain! Interfaces. 27: 9-14. DOI: 10.1287/Inte.27.5.9 |
0.349 |
|
| 1997 |
Powell WB, Mayoras DE. Finding the Yellow Brick Road: Part 6, Courage! Interfaces. 27: 12-18. DOI: 10.1287/Inte.27.4.12 |
0.355 |
|
| 1997 |
Powell WB, Mayoras DE. Finding the Yellow Brick Road: Part 5, Through the Crystal Ball Interfaces. 27: 14-21. DOI: 10.1287/Inte.27.3.14 |
0.344 |
|
| 1997 |
Powell WB, Mayoras DE. Finding the Yellow Brick Road: Part 4, I Wish I Had a Brain Interfaces. 27: 37-43. DOI: 10.1287/Inte.27.2.37 |
0.348 |
|
| 1997 |
Powell WB, Mayoras DE. Finding the Yellow Brick Road: Part 3, The Wizard of Oz Interfaces. 27: 143-154. DOI: 10.1287/Inte.27.1.143 |
0.355 |
|
| 1997 |
Powell WB, Carvalho TA. Dynamic control of multicommodity fleet management problems European Journal of Operational Research. 98: 522-541. DOI: 10.1016/S0377-2217(96)00373-6 |
0.479 |
|
| 1997 |
Chen Z, Powell WB. A note on Bertsekas' small‐label‐first strategy Networks. 29: 111-116. DOI: 10.1002/(Sici)1097-0037(199703)29:2<111::Aid-Net5>3.0.Co;2-M |
0.318 |
|
| 1996 |
Powell WB. A stochastic formulation of the dynamic assignment problem, with an application to truckload motor carriers Transportation Science. 30: 195-219. DOI: 10.1287/Trsc.30.3.195 |
0.432 |
|
| 1996 |
Cheung RKM, Powell WB. Models and algorithms for distribution problems with uncertain demands Transportation Science. 30: 43-59. DOI: 10.1287/Trsc.30.1.43 |
0.486 |
|
| 1996 |
Cheung RK, Powell WB. AN algorithm for multistage dynamic networks with random arc capacities, with an application to dynamic fleet management Operations Research. 44: 951-963. DOI: 10.1287/Opre.44.6.951 |
0.428 |
|
| 1996 |
Powell WB, Mayoras DE. Finding the Yellow Brick Road: Part 2, Lions and Tigers and Bears! Interfaces. 26: 57-63. DOI: 10.1287/Inte.26.6.57 |
0.356 |
|
| 1996 |
Frantzeskakis LF, Powell WB. Restricted recourse strategies for bounding the expected network recourse function Annals of Operations Research. 64: 261-287. DOI: 10.1007/Bf02187649 |
0.387 |
|
| 1995 |
Powell WB, Carvalho TA, Godfrey GA, Simão HP. Dynamic fleet management as a logistics queueing network Annals of Operations Research. 61: 165-188. DOI: 10.1007/Bf02098287 |
0.815 |
|
| 1994 |
Farvolden JM, Powell WB. Subgradient Methods For The Service Network Design Problem Transportation Science. 28: 256-272. DOI: 10.1287/Trsc.28.3.256 |
0.4 |
|
| 1994 |
Powell WB, Frantzeskakis LF. Restricted Recourse Strategies for Dynamic Networks with Random Arc Capacities Transportation Science. 28: 3-23. DOI: 10.1287/Trsc.28.1.3 |
0.475 |
|
| 1994 |
Powell WB, Cheung RK‐. A Network Recourse Decomposition Method For Dynamic Networks With Random Arc Capacities. Networks. 24: 369-384. DOI: 10.1002/Net.3230240703 |
0.332 |
|
| 1994 |
Powell WB, Cheung RK. Stochastic programs over trees with random arc capacities Networks. 24: 161-175. DOI: 10.1002/Net.3230240304 |
0.383 |
|
| 1993 |
Farvolden JM, Powell WB, Lustig IJ. A primal partitioning solution for the arc-chain formulation of a multicommodity network flow problem Operations Research. 41: 669-693. DOI: 10.1287/Opre.41.4.669 |
0.39 |
|
| 1993 |
Dror M, Powell WB. Stochastic and Dynamic Models in Transportation Operations Research. 41: 11-14. DOI: 10.1287/Opre.41.1.11 |
0.314 |
|
| 1993 |
Jones KL, Lustig IJ, Farvolden JM, Powell WB. Multicommodity network flows: The impact of formulation on decomposition Mathematical Programming. 62: 95-117. DOI: 10.1007/Bf01585162 |
0.431 |
|
| 1993 |
Frantzeskakis LF, Powell WB. Bounding procedures for multistage stochastic dynamic networks Networks. 23: 575-595. DOI: 10.1002/Net.3230230702 |
0.352 |
|
| 1992 |
Simão HP, Powell WB. Numerical Methods for Simulating Transient, Stochastic Queueing Networks—II: Experimental Design Transportation Science. 26: 312-329. DOI: 10.1287/Trsc.26.4.312 |
0.344 |
|
| 1992 |
Simão HP, Powell WB. Numerical methods for simulating transient, stochastic queueing networks - I: methodology Transportation Science. 26: 296-311. DOI: 10.1287/Trsc.26.4.296 |
0.38 |
|
| 1992 |
Powell WB, Koskosidis IA. Shipment Routing Algorithms With Tree Constraints Transportation Science. 26: 230-245. DOI: 10.1287/Trsc.26.3.230 |
0.426 |
|
| 1992 |
Koskosidis YA, Powell WB, Solomon MM. An Optimization-Based Heuristic For Vehicle Routing And Scheduling With Soft Time Window Constraints Transportation Science. 26: 69-85. DOI: 10.1287/Trsc.26.2.69 |
0.484 |
|
| 1992 |
Braklow JW, Graham WW, Hassler SM, Peck KE, Powell WB. Interactive Optimization Improves Service and Performance for Yellow Freight System Interfaces. 22: 147-172. DOI: 10.1287/Inte.22.1.147 |
0.355 |
|
| 1992 |
Koskosidis YA, Powell WB. Clustering algorithms for consolidation of customer orders into vehicle shipments Transportation Research Part B. 26: 365-379. DOI: 10.1016/0191-2615(92)90032-R |
0.45 |
|
| 1990 |
Powell WB. Selected Abstracts for the 1989 Transportation Science Section Dissertation Prize Competition Transportation Science. 24: 298-307. DOI: 10.1287/Trsc.24.4.298 |
0.318 |
|
| 1990 |
Frantzeskakis LF, Powell WB. A Successive Linear Approximation Procedure For Stochastic, Dynamic Vehicle Allocation Problems Transportation Science. 24: 40-57. DOI: 10.1287/Trsc.24.1.40 |
0.502 |
|
| 1990 |
Lamar BW, Sheffi Y, Powell WB. A capacity improvement lower bound for fixed charge network design problems Operations Research. 38: 704-710. DOI: 10.1287/Opre.38.4.704 |
0.412 |
|
| 1989 |
Powell WB. A Review of Sensitivity Results for Linear Networks and a New Approximation to Reduce the Effects of Degeneracy Transportation Science. 23: 231-243. DOI: 10.1287/Trsc.23.4.231 |
0.315 |
|
| 1989 |
Powell WB, Sheffi Y. Design and implementation of an interactive optimization system for network design in the motor carrier industry Operations Research. 37: 12-29. DOI: 10.1287/Opre.37.1.12 |
0.426 |
|
| 1988 |
Hughes RE, Powell WB. MITIGATING END EFFECTS IN THE DYNAMIC VEHICLE ALLOCATION MODEL Management Science. 34: 859-879. DOI: 10.1287/Mnsc.34.7.859 |
0.462 |
|
| 1988 |
Powell WB, Sheffi Y, Nickerson KS, Butterbaugh K, Atherton S. Maximizing Profits for North American Van Lines' Truckload Division: A New Framework for Pricing and Operations Interfaces. 18: 21-41. DOI: 10.1287/Inte.18.1.21 |
0.306 |
|
| 1987 |
Carlisle DP, Nickerson KS, Probst SB, Rudolph D, Sheffi Y, Powell WB. A Turnkey, Microcomputer-Based Logistics Planning System Interfaces. 17: 16-26. DOI: 10.1287/Inte.17.4.16 |
0.426 |
|
| 1987 |
Powell WB. An operational planning model for the dynamic vehicle allocation problem with uncertain demands Transportation Research Part B. 21: 217-232. DOI: 10.1016/0191-2615(87)90005-1 |
0.405 |
|
| 1986 |
Powell WB. A Local Improvement Heuristic for the Design of Less-than-Truckload Motor Carrier Networks Transportation Science. 20: 246-257. DOI: 10.1287/Trsc.20.4.246 |
0.336 |
|
| 1986 |
Powell WB. Iterative Algorithms for Bulk Arrival, Bulk Service Queues with Poisson and Non-Poisson Arrivals Transportation Science. 20: 65-79. DOI: 10.1287/Trsc.20.2.65 |
0.378 |
|
| 1986 |
Powell WB. A Stochastic Model Of The Dynamic Vehicle Allocation Problem Transportation Science. 20: 117-129. DOI: 10.1287/Trsc.20.2.117 |
0.404 |
|
| 1986 |
Powell WB. Approximate, Closed Form Moment Formulas For Bulk Arrival, Bulk Service Queues Transportation Science. 20: 13-23. DOI: 10.1287/Trsc.20.1.13 |
0.332 |
|
| 1986 |
Powell WB, Humblet P. The Bulk Service Queue with a General Control Strategy: Theoretical Analysis and a New Computational Procedure Operations Research. 34: 267-275. DOI: 10.1287/Opre.34.2.267 |
0.32 |
|
| 1986 |
Powell WB, Simão HP. Numerical simulation of transient bulk queues with general vehicle dispatching strategies Transportation Research Part B. 20: 477-490. DOI: 10.1016/0191-2615(86)90026-3 |
0.324 |
|
| 1985 |
Powell WB. Analysis of Vehicle Holding and Cancellation Strategies in Bulk Arrival, Bulk Service Queues Transportation Science. 19: 352-377. DOI: 10.1287/Trsc.19.4.352 |
0.332 |
|
| 1985 |
Powell WB. Marginal cost pricing of truckload services: A comparison of two approaches Transportation Research Part B. 19: 433-445. DOI: 10.1016/0191-2615(85)90056-6 |
0.343 |
|
| 1983 |
Powell WB, Sheffi Y. A Probabilistic Model of Bus Route Performance Transportation Science. 17: 376-404. DOI: 10.1287/Trsc.17.4.376 |
0.444 |
|
| 1983 |
Sheffi Y, Powell WB. Optimal signal settings over transportation networks Journal of Transportation Engineering. 109: 824-839. DOI: 10.1061/(Asce)0733-947X(1983)109:6(824) |
0.349 |
|
| 1983 |
Powell WB, Winston C. A numerical investigation of the impact of uncertain demand and varying risk preferences on the pricing and capacity decisions of transportation firms: The case of airlines Transportation Research Part B-Methodological. 17: 471-490. DOI: 10.1016/0191-2615(83)90033-4 |
0.303 |
|
| 1983 |
Powell WB. Bulk service queues with deviations from departure schedules: The problem of correlated headways Transportation Research Part B. 17: 221-232. DOI: 10.1016/0191-2615(83)90016-4 |
0.406 |
|
| 1983 |
Powell WB. A stochastic passenger loading model of airline schedule performance Transportation Research Part B. 17: 399-410. DOI: 10.1016/0191-2615(83)90006-1 |
0.438 |
|
| 1983 |
Powell WB, Sheffi Y. The load planning problem of motor carriers: Problem description and a proposed solution approach Transportation Research Part a: General. 17: 471-480. DOI: 10.1016/0191-2607(83)90167-X |
0.434 |
|
| 1982 |
Powell WB, Sheffi Y. The Convergence of Equilibrium Algorithms with Predetermined Step Sizes Transportation Science. 16: 45-55. DOI: 10.1287/Trsc.16.1.45 |
0.406 |
|
| 1982 |
Powell WB. Analysis of airline operating strategies under stochastic demand Transportation Research Part B. 16: 31-43. DOI: 10.1016/0191-2615(82)90039-X |
0.383 |
|
| 1982 |
Sheffi Y, Mahmassani H, Powell WB. A transportation network evacuation model Transportation Research Part a: General. 16: 209-218. DOI: 10.1016/0191-2607(82)90022-X |
0.337 |
|
| 1982 |
Sheffi Y, Powell WB. An algorithm for the equilibrium assignment problem with random link times Networks. 12: 191-207. DOI: 10.1002/Net.3230120209 |
0.465 |
|
| 1981 |
Sheffi Y, Powell W. A Comparison Of Stochastic And Deterministic Traffic Assignment Over Congested Networks Transportation Research Part B-Methodological. 15: 53-64. DOI: 10.1016/0191-2615(81)90046-1 |
0.356 |
|
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