Robust optimization is, like stochastic programming, an attempt to capture uncertainty in the data underlying the optimization problem. Robust optimization aims to find solutions that are valid under all réalisable realizations of the uncertainties defined by année uncertainty set. Stochastic optimization is used with random (noisy) function measurements pépite random https://analysedeconcurrence99864.blogsidea.com/34122735/5-faits-simples-sur-la-veille-concurrentielle-décrite