Park L J, Park C H, Park C, Lee T
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Taejon, Korea.
Med Biol Eng Comput. 1997 Jan;35(1):47-9. doi: 10.1007/BF02510391.
The paper explains the application of a genetic algorithm (GA) to the problem of estimating parameters for a kinetic model of a biologically reacting system. It is demonstrated that the GA is a powerful tool for quantifying the kinetic parameters using kinetic data. As the operation of the GA does not depend on the form of the model equation, it can be applied to the wide spectrum of kinetic modelling problems without any complex formulation procedure.
本文阐述了遗传算法（GA）在生物反应系统动力学模型参数估计问题中的应用。结果表明，遗传算法是利用动力学数据对动力学参数进行量化的有力工具。由于遗传算法的操作不依赖于模型方程的形式，它可以应用于广泛的动力学建模问题，而无需任何复杂的公式推导过程。
