A Modified Differential Evolution Algorithm for Feed Rate Optimization of Fed-batch Fermentation

被引：1
|
作者：
Niu, Dapeng [1 ]
Wang, Fuli [1 ]
He, Dakuo [1 ]
Ha, Mingxing [1 ]
Feng, Lifeng [2 ]
机构：
[1] Northeastern Univ, Minist Educ, Key Lab Integrated Automat Proc Ind, Shenyang, Liaoning, Peoples R China
[2] Liaoyang Bur Qual & Tech Supervis, Boiler Pressure Vessel Test Acad Liaoyang, Liaoyang, Liaoning, Peoples R China
来源：
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年
基金：
中国国家自然科学基金;
关键词：
differential evolution; simplex acceleration operator; chaotic migration operator; feed rate optimization; fed-batch fermentation;
D O I：
10.1109/WCICA.2008.4593788
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 individuals' 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.
引用
收藏
页码：5276 / +
页数：2
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