Restricted robust uniform matroid maximization under interval uncertainty
| dc.citation.epage | 441 | en_US |
| dc.citation.issueNumber | 2 | en_US |
| dc.citation.spage | 431 | en_US |
| dc.citation.volumeNumber | 110 | en_US |
| dc.contributor.author | Yaman, H. | en_US |
| dc.contributor.author | Karaşan, O. E. | en_US |
| dc.contributor.author | Pınar, M. Ç. | en_US |
| dc.date.accessioned | 2016-02-08T10:13:52Z | |
| dc.date.available | 2016-02-08T10:13:52Z | |
| dc.date.issued | 2007 | en_US |
| dc.department | Department of Industrial Engineering | en_US |
| dc.description.abstract | For the problem of selecting p items with interval objective function coefficients so as to maximize total profit, we introduce the r-restricted robust deviation criterion and seek solutions that minimize the r-restricted robust deviation. This new criterion increases the modeling power of the robust deviation (minmax regret) criterion by reducing the level of conservatism of the robust solution. It is shown that r-restricted robust deviation solutions can be computed efficiently. Results of experiments and comparisons with absolute robustness, robust deviation and restricted absolute robustness criteria are reported. | en_US |
| dc.description.provenance | Made available in DSpace on 2016-02-08T10:13:52Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2007 | en |
| dc.identifier.doi | 10.1007/s10107-006-0008-1 | en_US |
| dc.identifier.eissn | 1436-4646 | |
| dc.identifier.issn | 0025-5610 | |
| dc.identifier.uri | http://hdl.handle.net/11693/23433 | |
| dc.language.iso | English | en_US |
| dc.publisher | Springer | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1007/s10107-006-0008-1 | en_US |
| dc.source.title | Mathematical Programming | en_US |
| dc.subject | Uniform matroid | en_US |
| dc.subject | Robust optimization | en_US |
| dc.subject | Interval data | en_US |
| dc.title | Restricted robust uniform matroid maximization under interval uncertainty | en_US |
| dc.type | Article | en_US |
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