Stochastic Optimization

3 credits · College of Engineering catalogue

Advisory Prerequisite: IOE 510 and C++/JAVA/MATLAB/AMPLD Coding Skills or permission of instructor. Enforced Prerequisite: None. (3 credits) Planning and operational decisions are often made in uncertain environments, and optimization is a powerful decision support tool in this context. Models, theories, algorithms, and applications of optimization under uncertainty. The topics include stochastic programming, chance and risk constraints, robust optimization, and Benders decomposition.