Chuii, Khim Chong and Mohammad, Mohd. Saberi and Deris, Safaai and Yee, Wen Choon and Lian, En Chai (2012) Parameter estimation for simulation of glycolysis pathway by using an improved differential evolution. In: Communications in Computer and Information Science. Springer, Berlin, pp. 352-355. ISBN 978-3-642-32825-1 (Print); 978-3-642-32826-8 (Electronic)
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Official URL: http://dx.doi.org/10.1007/978-3-642-32826-8_37
Abstract
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.
| Item Type: | Book Section |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | differential evolution, evolutionary algorithm, metabolic engineering, optimization, parameter estimation |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computer Science and Information System |
| ID Code: | 35742 |
| Deposited By: | Fazli Masari |
| Deposited On: | 29 Oct 2013 01:04 |
| Last Modified: | 02 Feb 2017 05:24 |
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