Abstract
A robust optimization framework for countably infinite linear programs (CILPs) is developed. It is shown that a particular robust counterpart of a nominal CILP can be reformulated as another CILP. A bound on the probability of constraint violation is derived. A convergent algorithm for solving this robust CILP is proposed.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 847-863 |
| Number of pages | 17 |
| Journal | Optimization Letters |
| Volume | 10 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 1 2016 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2015, Springer-Verlag Berlin Heidelberg.
Keywords
- Infinite-dimensional optimization
- Planning horizon algorithm
- Uncertainty sets