双倒数法和遗传算法拟合Monod方程参数的比较

摘要

The study of microbial fermentation kinetics will lay a foundation for process optimization ,in-dustrial scale-up and automatic control .Parameters μmax and Ks of Monod Equation were estimated using Lineweaver -Burk Plot and Genetic Algorithms .And sum of squares of deviations was used as standard of the better method .The results showed that the sum of squares of error of Genetic Algorithm is 681 ,which is much more smaller than that of Lineweaver -Burk Plot 7400 .It is proved that Genetic Algorithm is more suitable for parameters estimation of Monod Equation .%微生物发酵动力学的研究能够为发酵工艺优化、工业放大以及自动化控制奠定基础，同时能够更准确掌握微生物的生理特性。本文通过双倒数法与遗传算法对M onod方程的待求参数μmax和Ks 进行拟合，利用误差平方和的大小比较两种方法的优劣。结果表明，利用遗传算法优化的误差平方和681显著小于双倒数法的7400，证明遗传算法在M onod方程参数拟合过程更合适。该方法为类似动力学方程的参数求解提供了新的思路。