TY - GEN
T1 - Parameter estimation for simulation of glycolysis pathway by using an improved differential evolution
AU - Chong, Chuii Khim
AU - Mohamad, Mohd Saberi
AU - Deris, Safaai
AU - Choon, Yee Wen
AU - Chai, Lian En
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Differential Evolution
KW - Evolutionary Algorithm
KW - Metabolic Engineering
KW - Optimization
KW - Parameter Estimation
UR - http://www.scopus.com/inward/record.url?scp=84865583331&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84865583331&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-32826-8_37
DO - 10.1007/978-3-642-32826-8_37
M3 - Conference contribution
AN - SCOPUS:84865583331
SN - 9783642328251
T3 - Communications in Computer and Information Science
SP - 352
EP - 355
BT - Knowledge Technology - Third Knowledge Technology Week, KTW 2011, Revised Selected Papers
T2 - 3rd Knowledge Technology Week, KTW 2011
Y2 - 18 July 2011 through 22 July 2011
ER -