Multi-objective optimization of methyl acetate hydrolysis process based on NSGA — II algorithm

An enhanced non-dominated sorting genetic algorithm (NSGA-II) was applied to carry out the integer optimized design in this article. The steady simulation design was established based on the reaction kinetics analysis using Aspen Plus, and the feasible region of each optimized variable was calculated through sensitive analysis. Aiming at the total cost TAC as the objective function, the NSGA-II algorithm was used directly to obtain the Pareto optimal solutions under the constraints of feasible region of variables. The simulation results showed that the NSGA-II algorithm can effectively reduce the total cost of TAC.