In this work, a two-stage stochastic programming approach is implemented in a commercial simulator. A hybrid algorithm is proposed, where the first-stage decisions (existence of process units and their corresponding design parameters) are handled by a genetic algorithm, while the second-stage decisions (optimization of operational variables such as flows and temperatures) are optimized through ...
