受强制性开放获取政策约束的文章 - Ruiwei Jiang了解详情
无法在其他位置公开访问的文章：3 篇
A distributionally robust optimization approach for outpatient colonoscopy scheduling
KS Shehadeh, AEM Cohn, R Jiang
European Journal of Operational Research 283 (2), 549-561, 2020
强制性开放获取政策： US National Science Foundation
Risk-averse stochastic unit commitment with incomplete information
R Jiang, Y Guan, JP Watson
IIE Transactions 48 (9), 838-854, 2016
强制性开放获取政策： US Department of Energy
Differential-Algebraic Equation-Constrained Frequency-Secured Stochastic Unit Commitment
B Zhou, R Jiang, S Shen
2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023
强制性开放获取政策： US National Science Foundation, US Department of Energy
可在其他位置公开访问的文章：24 篇
Risk-averse two-stage stochastic program with distributional ambiguity
R Jiang, Y Guan
Operations Research 66 (5), 1390-1405, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense
Ambiguous chance-constrained binary programs under mean-covariance information
Y Zhang, R Jiang, S Shen
SIAM Journal on Optimization 28 (4), 2922-2944, 2018
强制性开放获取政策： US National Science Foundation
Ambiguous risk constraints with moment and unimodality information
B Li, R Jiang, JL Mathieu
Mathematical Programming 173, 151-192, 2019
强制性开放获取政策： US National Science Foundation
Integer programming approaches for appointment scheduling with random no-shows and service durations
R Jiang, S Shen, Y Zhang
Operations Research 65 (6), 1638-1656, 2017
强制性开放获取政策： US National Science Foundation
Optimized Bonferroni approximations of distributionally robust joint chance constraints
W Xie, S Ahmed, R Jiang
Mathematical Programming 191 (1), 79-112, 2022
强制性开放获取政策： US National Science Foundation
Distributionally robust distribution network configuration under random contingency
S Babaei, R Jiang, C Zhao
IEEE Transactions on Power Systems 35 (5), 3332-3341, 2020
强制性开放获取政策： US National Science Foundation
Weekly Two-Stage Robust Generation Scheduling for Hydrothermal Power Systems
H Dashti, AJ Conejo, R Jiang, J Wang
IEEE Transactions on Power Systems, 2016
强制性开放获取政策： US National Science Foundation, US Department of Energy
Chance-constrained optimization under limited distributional information: A review of reformulations based on sampling and distributional robustness
S Küçükyavuz, R Jiang
EURO Journal on Computational Optimization 10, 100030, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
Distributionally robust chance-constrained optimal power flow assuming unimodal distributions with misspecified modes
B Li, R Jiang, JL Mathieu
IEEE Transactions on Control of Network Systems 6 (3), 1223-1234, 2019
强制性开放获取政策： US National Science Foundation
Distributionally robust risk-constrained optimal power flow using moment and unimodality information
B Li, R Jiang, JL Mathieu
2016 IEEE 55th conference on decision and control (CDC), 2425-2430, 2016
强制性开放获取政策： US National Science Foundation
A robust optimization problem for drone-based equitable pandemic vaccine distribution with uncertain supply
X Wang, R Jiang, M Qi
Omega 119, 102872, 2023
强制性开放获取政策： 国家自然科学基金委员会
Cutting planes for the multistage stochastic unit commitment problem
R Jiang, Y Guan, JP Watson
Mathematical Programming 157, 121-151, 2016
强制性开放获取政策： US National Science Foundation, US Department of Energy
Distributionally robust co-optimization of power dispatch and do-not-exceed limits
H Ma, R Jiang, Z Yan
IEEE Transactions on Power Systems 35 (2), 887-897, 2019
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
A data-driven approach to unlikely, possible, probable, and definite acute concussion assessment
GGP Garcia, MS Lavieri, R Jiang, TW McAllister, MA McCrea, SP Broglio, ...
Journal of neurotrauma 36 (10), 1571-1583, 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense
Distributionally robust partially observable markov decision process with moment-based ambiguity
H Nakao, R Jiang, S Shen
SIAM Journal on Optimization 31 (1), 461-488, 2021
强制性开放获取政策： US National Science Foundation, US Department of Energy
Chance-constrained set covering with Wasserstein ambiguity
H Shen, R Jiang
Mathematical Programming 198 (1), 621-674, 2023
强制性开放获取政策： US National Science Foundation
Computationally efficient approximations for distributionally robust optimization under moment and Wasserstein ambiguity
M Cheramin, J Cheng, R Jiang, K Pan
INFORMS Journal on Computing 34 (3), 1768-1794, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense, 国家自然科学基金委 …
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