Perspectives on optimization under uncertainty: Algorithms and applications.
Conference
·
OSTI ID:947287
This paper provides an overview of several approaches to formulating and solving optimization under uncertainty (OUU) engineering design problems. In addition, the topic of high-performance computing and OUU is addressed, with a discussion of the coarse- and fine-grained parallel computing opportunities in the various OUU problem formulations. The OUU approaches covered here are: sampling-based OUU, surrogate model-based OUU, analytic reliability-based OUU (also known as reliability-based design optimization), polynomial chaos-based OUU, and stochastic perturbation-based OUU.
- Research Organization:
- Sandia National Laboratories
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 947287
- Report Number(s):
- SAND2005-0593C
- Country of Publication:
- United States
- Language:
- English
Similar Records
Optimization Under Uncertainty for Wake Steering Strategies
Multilevel Monte Carlo Estimators For Derivative-Free Optimization Under Uncertainty
Topology optimization under uncertainty via non-intrusive polynomial chaos expansion
Conference
·
Thu Aug 03 00:00:00 EDT 2017
·
OSTI ID:1374526
Multilevel Monte Carlo Estimators For Derivative-Free Optimization Under Uncertainty
Journal Article
·
Sun Dec 31 19:00:00 EST 2023
· International Journal for Uncertainty Quantification
·
OSTI ID:2311583
Topology optimization under uncertainty via non-intrusive polynomial chaos expansion
Journal Article
·
Wed Jan 25 19:00:00 EST 2017
· Computer Methods in Applied Mechanics and Engineering
·
OSTI ID:1632374