Min–max and min–max regret versions of combinatorial optimization problems: A survey
Min–max and min–max regret criteria are commonly used to define robust solutions. After motivating the use of these criteria, we present general results. Then, we survey complexity results for the min–max and min–max regret versions of some combinatorial optimization problems: shortest path, spannin...
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| Veröffentlicht in: | European journal of operational research Jg. 197; H. 2; S. 427 - 438 |
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| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Amsterdam
Elsevier B.V
01.09.2009
Elsevier Elsevier Sequoia S.A |
| Schriftenreihe: | European Journal of Operational Research |
| Schlagworte: | |
| ISSN: | 0377-2217, 1872-6860 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | Min–max and min–max regret criteria are commonly used to define robust solutions. After motivating the use of these criteria, we present general results. Then, we survey complexity results for the min–max and min–max regret versions of some combinatorial optimization problems: shortest path, spanning tree, assignment, min cut, min
s–
t cut, knapsack. Since most of these problems are
NP-hard, we also investigate the approximability of these problems. Furthermore, we present algorithms to solve these problems to optimality. |
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| Bibliographie: | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 |
| ISSN: | 0377-2217 1872-6860 |
| DOI: | 10.1016/j.ejor.2008.09.012 |