Approximation and resolution of min-max and min-max regret versions of combinatorial optimization problems

被引:0
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作者
Aissi H. [1 ]
机构
[1] LAMSADE, Université Paris-Dauphine, 75775 Paris Cedex 16, Place Marechal Lattre de Tassigny
关键词
Approximation; Combinatorial optimization; Complexity; Data association; Min-max; Min-max regret; Robustness analysis;
D O I
10.1007/s10288-006-0004-6
中图分类号
学科分类号
摘要
This is a summary of the most important results presented in the author's PhD thesis. This thesis, written in French, was defended on November 2005 and supervised by Cristina Bazgan and Daniel Vanderpooten. A copy is available from the author upon request. This thesis deals with the complexity, approximation and resolution of the min-max and min-max versions of classical combinatorial optimization problems. In addition to these theoretical aspects, a practical application of robustness approaches to the problem of data association is considered. © Springer-Verlag 2006.
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页码:347 / 350
页数:3
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