Application of genetic algorithms to parameter estimation of bioprocesses

被引：37

作者：

Park, LJ ^{[1
]}

Park, CH ^{[1
]}

Park, C ^{[1
]}

Lee, T ^{[1
]}

机构：

[1] KOREA ADV INST SCI & TECHNOL,DEPT CHEM ENGN,YUSONG GU,TAEJON 305701,SOUTH KOREA

来源：

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING | 1997年 / 35卷 / 01期

关键词：

bioprocess; genetic algorithm; parameter estimation;

D O I：

10.1007/BF02510391

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：47 / 49

页数：3

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