An Optimal Control Strategy Combining SVM with RGA for Improving Fermentation Titer

CIESC Journal ›› 2010, Vol. 18 ›› Issue (1): 95-101.

An Optimal Control Strategy Combining SVM with RGA for Improving Fermentation Titer

高学金¹, 王普¹, 齐咏生^1,2, 张亚庭¹, 张会清¹, 严爱军¹

1. College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China;
2. College of Information Engineering, Inner Mongolia University of Technology, Huhhot 010051, China

收稿日期:2009-05-06 修回日期:2009-10-29 出版日期:2010-02-28 发布日期:2010-12-30
通讯作者: GAO Xuejin, gaoxuejin@bjut.edu.cn
作者简介:
基金资助:
Supported by the National Natural Science Foundation of China(60704036)

An Optimal Control Strategy Combining SVM with RGA for Improving Fermentation Titer

GAO Xuejin¹, WANG Pu¹, QI Yongsheng^1,2, ZHANG Yating¹, ZHANG Huiqing¹, YAN Aijun¹

1. College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China;
2. College of Information Engineering, Inner Mongolia University of Technology, Huhhot 010051, China

Received:2009-05-06 Revised:2009-10-29 Online:2010-02-28 Published:2010-12-30
Supported by:
Supported by the National Natural Science Foundation of China(60704036)

摘要/Abstract

摘要： An optimal control strategy is proposed to improve the fermentation titer,which combines the support vector machine(SVM)with real code genetic algorithm(RGA).A prediction model is established with SVM for penicillin fermentation processes,and it is used in RGA for fitting function.A control pattern is proposed to overcome the coupling problem of fermentation parameters,which describes the overall production condition.Experimental results show that the optimal control strategy improves the penicillin titer of the fermentation process by 22.88%,compared with the routine operation.

关键词: microbial fermentation, optimal control, modeling, support vector machine, genetic algorithm

Abstract: An optimal control strategy is proposed to improve the fermentation titer,which combines the support vector machine(SVM)with real code genetic algorithm(RGA).A prediction model is established with SVM for penicillin fermentation processes,and it is used in RGA for fitting function.A control pattern is proposed to overcome the coupling problem of fermentation parameters,which describes the overall production condition.Experimental results show that the optimal control strategy improves the penicillin titer of the fermentation process by 22.88%,compared with the routine operation.

Key words: microbial fermentation, optimal control, modeling, support vector machine, genetic algorithm

高学金, 王普, 齐咏生, 张亚庭, 张会清, 严爱军. An Optimal Control Strategy Combining SVM with RGA for Improving Fermentation Titer[J]. CIESC Journal, 2010, 18(1): 95-101.

GAO Xuejin, WANG Pu, QI Yongsheng, ZHANG Yating, ZHANG Huiqing, YAN Aijun. An Optimal Control Strategy Combining SVM with RGA for Improving Fermentation Titer[J]. , 2010, 18(1): 95-101.

参考文献

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An Optimal Control Strategy Combining SVM with RGA for Improving Fermentation Titer

An Optimal Control Strategy Combining SVM with RGA for Improving Fermentation Titer

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