Operations Research, Optimization, Python.
approaches for optimization under uncertainty: Robust Optimization Models In Robust Optimization models, one considers the worst possible outcome and optimizes decisions based on that. The goal is to find fixed solutions that are feasible, independent of the data and uncertain parameters. Finding