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 |
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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