Name
Abstract | ||
|---|---|---|
We provide an overview of new theoretical results that we obtained while further investigating multiband robust optimization, a new model for robust optimization that we recently proposed to tackle uncertainty in mixed-integer linear programming. This new model extends and refines the classical Gamma -robustness model of Bertsimas and Sim and is particularly useful in the common case of arbitrary asymmetric distributions of the uncertainty. Here, we focus on uncertain 0-1 programs and we analyze their robust counterparts when the uncertainty is represented through a multiband set. Our investigations were inspired by the needs of our industrial partners in the research project ROBUKOM [2]. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-319-07001-8_13 | Operations Research Proceedings |
Field | DocType | ISSN |
Mathematical optimization,Probabilistic-based design optimization,Network planning and design,Robust optimization,Computer science,Combinatorial optimization,Linear programming | Conference | 0721-5924 |
Citations | PageRank | References |
3 | 0.42 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christina Büsing | 1 | 106 | 11.73 |
| Fabio D'Andreagiovanni | 2 | 211 | 17.03 |
| annie raymond | 3 | 9 | 2.76 |