The generalization of optimization theory and techniques to other formulations constitutes a large area of applied mathematics.Robust optimization is, like stochastic programming, an attempt to capture uncertainty in the data underlying the optimization problem. Robust optimization aims to find fin that are valid under all réalisable realizations