Relaxed robust second-order-cone programming

I Averbakh, Yun-Bin Zhao

Research output: Contribution to journalArticle

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 languageEnglish
Pages (from-to)387-397
Number of pages11
JournalApplied Mathematics and Computation
Volume210
Issue number2
DOIs
Publication statusPublished - 1 Apr 2009

Keywords

  • Robust optimization
  • Convex analysis
  • Nonlinear optimization
  • Second-order-cone program

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