| 基于遗传算法的谷氨酸发酵动力学参数估计 |
| |
| 引用本文： | 王东阳,王健,陈宁. 基于遗传算法的谷氨酸发酵动力学参数估计[J]. 生物技术通讯, 2005, 16(4): 407-408 |
| |
| 作者姓名： | 王东阳 王健 陈宁 |
| |
| 作者单位： | 1. 天津科技大学,生物工程学院,天津,300222
2. 吉林大学,生物与农业工程学院,吉林,长春,130022 |
| |
| 摘 要： | 把遗传算法应用于求解谷氨酸分批发酵动力学模型参数，取交叉概率Pc=0．8、变异概率Pm=0．06、初始种群为20、遗传世代数为200代，能进一步提高谷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。模拟值与实验值对比显示，该动力学模型能很好地反映谷氨酸分批发酵过程。
|
| 关 键 词： | 遗传算法 发酵动力学 参数估算 |
| 文章编号： | 1009-0002(2005)04-0407-02 |
| 收稿时间： | 2005-01-26 |
| 修稿时间： | 2005-01-26 |
Application of Genetic Algorithms to Estimating Parameters from Kinetic Model of Glutamic Acid Batch Fermentation |
| |
| WANG Dong-yang,WANG Jian,CHEN Ning. Application of Genetic Algorithms to Estimating Parameters from Kinetic Model of Glutamic Acid Batch Fermentation[J]. Letters in Biotechnology, 2005, 16(4): 407-408 |
| |
| Authors: | WANG Dong-yang WANG Jian CHEN Ning |
| |
| Abstract: | Genetic algorithms, extracing Pc=0.8, Pm=0.06, initial population 20 and inherit generation 200, was used to estimate parameters from kinetic model of batch fermentation process of glutamic acid. The coincidence of calculated values and experimental values of state varibles from glutamic acid batch fermentation process will be further increased by the application of genetic algorithm. By simulating the kinetic model, the results showed that it can be accorded with batch fermentation process of glutamic acid properly. |
| |
| Keywords: | genetic algorithms kinetics of fermentation parameter estimation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
