What is ARO adjustable robust optimization?

Adjustable Robust Optimization is a methodology to solve mathematical optimization problems with uncertain data. It is used to include all the uncertainty in the optimization model, and an elaborate study to determine its limitations. ARO generally yields a better objective function value than that in static robust optimization because it gives rise to more flexible adjustable decisions.