Abstract
In this paper, we propose an approximate optimization model for the robust second-order-cone programming problem with a single-ellipsoid uncertainty set for which the computational complexity is not known yet. We prove that this approximate robust model can be equivalently reformulated as a finite convex optimization problem. (c) 2009 Elsevier Inc. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 387-397 |
| Number of pages | 11 |
| Journal | Applied Mathematics and Computation |
| Volume | 210 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Apr 2009 |
Keywords
- Robust optimization
- Convex analysis
- Nonlinear optimization
- Second-order-cone program
Fingerprint
Dive into the research topics of 'Relaxed robust second-order-cone programming'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver