Parameter Estimation for Simulation of Glycolysis Pathway by Using an Improved Differential Evolution

被引：0

作者：

Chong, Chuii Khim ^{[1
]}

Mohamad, Mohd Saberi ^{[1
]}

Deris, Safaai ^{[1
]}

Choon, Yee Wen ^{[1
]}

Chai, Lian En ^{[1
]}

机构：

[1] Univ Teknologi Malaysia, Artificial Intelligence & Bioinformat Res Grp, Fac Comp Sci & Informat Syst, Skudai 81310, Johor, Malaysia

来源：

KNOWLEDGE TECHNOLOGY | 2012年 / 295卷

关键词：

Parameter Estimation; Differential Evolution; Evolutionary Algorithm; Optimization; Metabolic Engineering;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

An improved differential evolution (DE) algorithm is proposed in this paper to optimize its performance in estimating the germane parameters for metabolic pathway data to simulate glycolysis pathway for Saccharomyces cerevisiae. This study presents an improved algorithm of parameter sensitivity test into the process of DE algorithm. The result of the improved algorithm is testifying to be supreme to the others estimation algorithms. The outcomes from this study promote estimating optimal kinetic parameters, shorter computation time and ameliorating the precision of simulated kinetic model for the experimental data.

引用

页码：352 / 355

页数：4

共 6 条

[1] Estimation of Monod model parameters by hybrid differential evolution [J].