Abstract
We provide a complexity classification of four variants of robust integer programming when the underlying Graver basis is given. We discuss applications to robust multicommodity flows and multiway statistical table problems, and describe an effective parametrization of robust integer programming.
Original language | English |
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Pages (from-to) | 558-560 |
Number of pages | 3 |
Journal | Operations Research Letters |
Volume | 42 |
Issue number | 8 |
DOIs | |
State | Published - Dec 2014 |
Keywords
- Graver basis
- Integer programming
- Multicommodity flow
- Robust optimization
- Statistical table
All Science Journal Classification (ASJC) codes
- Software
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
- Applied Mathematics