A modified differential evolution algorithm for feed rate optimization of fed-batch fermentation

Author

Niu, Dapeng ; Wang, Fuli ; He, Dakuo ; Jia, Mingxing ; Feng, Lifeng

Author_Institution

Key Lab. of Integrated Autom. of Process Ind., Northeastern Univ., Shenyang

fYear

2008

fDate

25-27 June 2008

Firstpage

5276

Lastpage

5280

Abstract

A novel modified differential evolution (MDE) algorithm that contains simplex acceleration operator and chaotic migration operator is proposed for feed rate optimization of fed-batch fermentation process. The simplex acceleration operator improves the speed of getting global optimum, and the chaotic migration operator keeps the individualspsila diversity in the population to overcome prematurity. Three selection rules are introduced into the algorithm for constrained optimization problem, which ensures that the solution could accord with the constraint condition. The modified algorithm is applied to optimize feed rate of a certain fed-batch fermentation process, which improves the final product yield. The results show that the algorithm is effective.

Keywords

batch processing (industrial); evolutionary computation; fermentation; optimisation; chaotic migration operator; constrained optimization problem; fed-batch fermentation; feed rate optimization; modified differential evolution algorithm; simplex acceleration operator; Acceleration; Automation; Chaos; Constraint optimization; Evolutionary computation; Feeds; Genetic algorithms; Industrial control; Model driven engineering; Optimal control; chaotic migration operator; differential evolution; fedbatch fermentation; feed rate optimization; simplex acceleration operator;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4593788

Filename

4593788