The decision rule approach to optimization under uncertainty: methodology and applications-Reference-Cited by-同舟云学术

The decision rule approach to optimization under uncertainty: methodology and applications

Published:2018-11-26 Issue:4 Volume:16 Page:545-576
ISSN:1619-697X
Container-title:Computational Management Science
language:en
Short-container-title:Comput Manag Sci

Author:

Georghiou Angelos^ORCID,Kuhn Daniel^ORCID,Wiesemann Wolfram

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Management Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s10287-018-0338-5.pdf

Reference84 articles.

1. An Y, Zeng B, Zhang Y, Zhao L (2014) Reliable $$p$$ p -median facility location problem: two-stage robust models and algorithms. Transp Res B 64:54–72

2. Ardestani-Jaafari A, Delage E (2016) Robust optimization of sums of piecewise linear functions with application to inventory problems. Oper Res 64(2):474–494

3. Atamtürk A, Zhang M (2007) Two-stage robust network flow and design under demand uncertainty. Oper Res 55(4):662–673

4. Ayoub J, Poss M (2016) Decomposition for adjustable robust linear optimization subject to uncertainty polytope. Comput Manag Sci 13(2):219–239

5. Bandi C, Trichakis N, Vayanos P (2017) Robust multiclass queuing theory for wait time estimation in resource allocation systems. Manag Sci (forthcoming)

Cited by 39 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Feature-driven strategies for trading wind power and hydrogen;Electric Power Systems Research;2024-09

2. A Wasserstein distributionally robust model for transmission expansion planning with renewable‐based microgrid penetration;IET Generation, Transmission & Distribution;2024-08-10

3. Risk-Adaptive Local Decision Rules;Operations Research;2024-07-15

4. A data-driven approach for optimal operational and financial commodity hedging;European Journal of Operational Research;2024-07

5. Energy management of a fuel cell/ultra-capacitor hybrid electric vehicle under uncertainty based on CO-SNN method;Journal of Energy Storage;2024-05