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- Virginie Gabrel, Arnaud Knippel, Michel Minoux
- Oper. Res. Lett.
- 1999

- Virginie Gabrel, Mathieu Lacroix, Cécile Murat, Nabila Remli
- Discrete Applied Mathematics
- 2014

In robust optimization, the multi-stage context (or dynamic decision-making) assumes that the information is revealed in stages. So, part of the decisions must be taken before knowing the real values of the uncertain parameters, and another part, called recourse decisions, is taken when the information is known. In this paper, we are interested in a robust… (More)

- Virginie Gabrel, Michel Minoux
- Oper. Res. Lett.
- 2002

We present an exact separation scheme for identifying most violated extended cover inequalities for application to multidimensional knapsack problems (MKP). The minimality of the resulting covers is shown to be a basic property of the criterion used for separation, namely the ratio between leftand right-hand sides of the extended cover inequality looked… (More)

- Virginie Gabrel, Cécile Murat, Nabila Remli
- ITOR
- 2010

In this paper, we study general linear programs in which right handsides are interval numbers. This model is relevant when uncertain and inaccurate factors make difficult the assignment of a single value to each right handside. When objective function coefficients are interval numbers in a linear program, it is used to determine optimal solutions according… (More)

- Virginie Gabrel, Cécile Murat, Aurélie Thiele
- European Journal of Operational Research
- 2014

This paper provides an overview of developments in robust optimization since 2007. It seeks to give a representative picture of the research topics most explored in recent years, highlight common themes in the investigations of independent research teams and highlight the contributions of rising as well as established researchers both to the theory of… (More)

- Virginie Gabrel, Maude Manouvrier, Cécile Murat
- ICSOC
- 2014

- Virginie Gabrel, Daniel Vanderpooten
- European Journal of Operational Research
- 2002

- Virginie Gabrel, Cécile Murat, Lei Wu
- Annals OR
- 2013

In optimization, it is common to deal with uncertain and inaccurate factors which make it difficult to assign a single value to each parameter in the model. It may be more suitable to assign a set of values to each uncertain parameter. A scenario is defined as a realization of the uncertain parameters. In this context, a robust solution has to be as good as… (More)

- Virginie Gabrel, Arnaud Knippel, Michel Minoux
- J. Heuristics
- 2003

In this paper, approximate solutions algorithms for discrete cost multicommodity network optimization problems are presented and compared. Firstly, extensions of classical greedy heuristics, based on link-rerouting and flow-rerouting heuristics, are presented in details. Secondly, a new approximate solution algorithm, which basically consists in a heuristic… (More)