Optimization with Trained Machine Learning Models Embedded

Artur M. Schweidtmann, Dominik Bongartz, Alexander Mitsos

Trained ML models are commonly embedded in optimization problems. In many cases, this leads to large-scale NLPs that are difficult to solve to global optimality. While ML models fr…