High-dimensional black-box optimization under uncertainty
| Year of publication: |
2022
|
|---|---|
| Authors: | Anahideh, Hadis ; Rosenberger, Jay ; Chen, Victoria C. P. |
| Published in: |
Computers & operations research : and their applications to problems of world concern ; an international journal. - Oxford [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 194012-0. - Vol. 137.2022, p. 1-21
|
| Subject: | Black-box functions | Derivative-free | Limited data | Non-interpolating model | Surrogate optimization | Uncertainty | Theorie | Theory | Risiko | Risk | Entscheidung unter Unsicherheit | Decision under uncertainty | Stochastischer Prozess | Stochastic process | Mathematische Optimierung | Mathematical programming |
-
Asymmetry and ambiguity in newsvendor models
Natarajan, Karthik, (2018)
-
Task assignment under uncertainty : stochastic programming and robust optimisation approaches
Zhen, Lu, (2015)
-
The value of stochastic modeling in two-stage stochastic programs with cost uncertainty
Delage, Erick, (2014)
- More ...
-
Addressing state space multicollinearity in solving an ozone pollution dynamic control problem
Bancha Ariyajunya, (2021)
-
Chen, Victoria C. P., (2010)
-
Chen, Ying, (2020)
- More ...