Recent Developments in Computational Approaches to Optimization under Uncertainty and Application in Process Systems Engineering

The major objective of this paper is to give concise summary and brief discussions on latest developments of optimization methods under uncertainty in process systems engineering (PSE) applications. The work focuses more on the explanation of results than on rigorous mathematical presentations. Results of PSE applications of the robust optimization as well as chance constrained optimization methods are summarized, by providing cross‐references to recent developments in the corresponding fields of mathematical optimization. The presented discussion is more inclined to the contributions of the authors. In particular, the chance constrained optimization methods is given more emphasis. As a result recent developments and future directions will be summarized in the context of PSE applications and related fields of applied sciences.