TY - GEN
T1 - Multi-objective optimization of methyl acetate hydrolysis process based on NSGA - II algorithm
AU - Junhua, Yin
AU - Cuimei, Bo
AU - Jun, Li
AU - Yan, Huang
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/6
Y1 - 2018/7/6
N2 - 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.
AB - 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.
KW - Economic optimization
KW - Hydrolysis of methyl acetate
KW - NSGA-II optimization
KW - Steady-state simulation
UR - http://www.scopus.com/inward/record.url?scp=85050888470&partnerID=8YFLogxK
U2 - 10.1109/CCDC.2018.8407249
DO - 10.1109/CCDC.2018.8407249
M3 - 会议稿件
AN - SCOPUS:85050888470
T3 - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
SP - 851
EP - 857
BT - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th Chinese Control and Decision Conference, CCDC 2018
Y2 - 9 June 2018 through 11 June 2018
ER -