自适应遗传算法应用于丁二酸发酵动力学模型优化

丁二酸是一种重要的化工原料,现阶段有关丁二酸发酵的研究重点集中在菌种选育和发酵工艺改良,而丁二酸发酵过程的模型化研究可以为工艺放大提供必要的基础数据.采用自适应遗传算法对已有的丁二酸发酵过程动力学模型进行了结构和参数优化方面的研究,有效地解决了发酵动力学模型这类复杂的非线性函数的参数优化问题,优于单纯形法.实验结果表明,采用自适应遗传算法进行参数优化得到的动力学模型能较好地模拟丁二酸发酵过程,提高了模型计算值与丁二酸发酵实验测量值的吻合程度.

Optimizing of the Kinetic Model Parameters for the Fermentation of Succinic Acid Based on Adaptive Genetic Algorithms

As an important material widely used in many areas,succinic acid plays a significant role in chemical industries.It presents the main research of the fermentation process of succinic acid focuses on the breeding and the improvement of the fermentation technology,builds the modeling for the fermentation process of succinic acid which provides basic data for the industrialization of the fermentation technology.Based on discussion of kinetic models for the fermentation process of succinic acid,it modifies the ...