[1]陈宏文,方柏山,胡宗定.遗传算法应用于分批发酵动力学模型参数估算[J].华侨大学学报(自然科学版),2000,21(1):71-75.[doi:10.3969/j.issn.1000-5013.2000.01.015]
　Chen Hongwen,Fang Baishan,Hu Zongding.Application of Genetic Algorithm to Estimating Parameters from Kinetic Model of Lysine Batch Fermentation[J].Journal of Huaqiao University(Natural Science),2000,21(1):71-75.[doi:10.3969/j.issn.1000-5013.2000.01.015]
点击复制

遗传算法应用于分批发酵动力学模型参数估算()
分享到：

《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第21卷
期数:
2000年第1期
页码:
71-75
栏目:
出版日期:
2000-01-20

文章信息/Info

Title:
Application of Genetic Algorithm to Estimating Parameters from Kinetic Model of Lysine Batch Fermentation
文章编号:
1000-5013(2000)01-0071-05
作者:
陈宏文; 方柏山; 胡宗定
华侨大学化工学院, 泉州362011; 天津大学化工学院, 天津300072
Author(s):
Chen Hongwen1;  Fang Baishan1;  Hu Zongding2
1.College of Chem. Eng., Huaqiao Univ., 362011, Quanzhou; 2.College of Chem. Eng., Tianjin Univ., 300072, Tianjin
关键词:
遗传算法;  发酵动力学;  参数估算
Keywords:
genetic algorithm;  kinetics of fermentation;  parameter estimation
分类号:
TQ920.1
DOI:
10.3969/j.issn.1000-5013.2000.01.015
摘要:
由通用发酵动力学模型导出用于描述分批发酵特征的解析解,把遗传算法应用于求解分批发酵动力学模型参数 .以赖氨酸分批发酵过程模拟为例,表明用遗传算法可有效地解决赖氨酸分批发酵动力学模型这类复杂的非线性函数的参数估算问题 .用 POWEL L方法估算结果作比较后表明,遗传算法能进一步提高赖氨酸分批发酵过程状态变量的计算值与实验值的吻合程度
Abstract:
By using analytical solution derived from general kinetic model of fermentation for describing characteristic of batch fermentation, a study is made on the application of genetic algorithm to estimating parameters from kinetic model of batch fermentation. Taking the simulation of batch fermentation process of lysine as example, useful results are obtained. As shown by the results, genetic aalgorithm is capable of effectively estimating such kind of parameters with complex nonlinear function from kinetic model of lysine batch fermentation. As compared with estimating results gotten by POWELL method, the application of genetic algorithm will further increase the coincidence of calculated values and experimental values of state varibles from lysine batch fermentation process.

参考文献/References:

[1] Holland J H, 李英毅. 基因算法 [J]. 科学, 1992(4):24-31.
[2] 方柏山, 林金清. 分批发酵动力学模型参数的估算 [J]. 生物工程学报, 1992(3):283-287.
[3] Monod J. The Growth of Bacterial Culture [J]. Annual Review of Microbiology, 1949(3):371-372.doi:10.1146/annurev.mi.03.100149.002103.
[4] Luedeking R, Piret E L. A Kinetic Study of the Lactic Acid Fermentation Batch Process at Controlled pH [J]. Journal of Biochemical and Microbiological Technology and Engineering, 1959(1):431-459.
[5] Atkinson B, Mauituna F. Biochemical engineering and biotechnology handbook [M]. England:Machilla Publisher Ltd, 1983.287-288.
[6] 孙艳丰, 王众托. 遗传算法在优化问题中的应用研究进展 [J]. 控制与决策, 1996(4):425-431.

相似文献/References:

[1]郑力新.双闭环直流调速系统参数的进化计算[J].华侨大学学报(自然科学版),1998,19(3):245.[doi:10.11830/ISSN.1000-5013.1998.03.0245]
　Zheng Lixin.Evolutionary Computation of the Parameters in DC Double Loop Speed Control System[J].Journal of Huaqiao University(Natural Science),1998,19(1):245.[doi:10.11830/ISSN.1000-5013.1998.03.0245]
[2]李旭明,康赐荣.基于遗传算法的最优模糊控制器设计[J].华侨大学学报(自然科学版),1999,20(1):95.[doi:10.11830/ISSN.1000-5013.1999.01.0095]
　Li Xuming,Kang Cirong.Design of Optimized Fuzzy Controller Based on Genetic Algorithm[J].Journal of Huaqiao University(Natural Science),1999,20(1):95.[doi:10.11830/ISSN.1000-5013.1999.01.0095]
[3]郑力新,周凯汀.基于遗传算法的双闭环系统模糊优化设计[J].华侨大学学报(自然科学版),2000,21(1):16.[doi:10.3969/j.issn.1000-5013.2000.01.004]
　Zheng Lixin,Zhou Kaiting.Fuzzy Optimization Design of Double Loop System Based on Genetic Algorithm[J].Journal of Huaqiao University(Natural Science),2000,21(1):16.[doi:10.3969/j.issn.1000-5013.2000.01.004]
[4]周凯汀,郑力新,戴在平.基于有限脉冲变换的FIR滤波器进化设计[J].华侨大学学报(自然科学版),2001,22(1):80.[doi:10.3969/j.issn.1000-5013.2001.01.018]
　Zhou Kaiting,Zheng Lixin,Dai Zaipin.Evolutionary Design of FIR Filter Based on Finite Impulse Transform[J].Journal of Huaqiao University(Natural Science),2001,22(1):80.[doi:10.3969/j.issn.1000-5013.2001.01.018]

备注/Memo

备注/Memo:
福建省自然科学基金; 生物反应器工程国家重点实验室开放课题基金资助项目
更新日期/Last Update: 2014-03-23