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Yi Ying Leong
Universiti Teknologi Malaysia
Chuii Khim Chong
Universiti Teknologi Malaysia
Lian En Chai
Universiti Teknologi Malaysia
Safaai Deris
Universiti Teknologi Malaysia
Rosli Illias
Universiti Teknologi Malaysia
Sigeru Omatu
Osaka Institute of Technology
Mohd Saberi Mohamad
Universiti Teknologi Malaysia
Vol. 1 No. 2 (2012), Articles, pages 13-19
Accepted: Jul 1, 2013


In this paper, we propose Bees Algorithm (BA) to enhance the performance in estimating the parameters for metabolic pathway data to simulate fermentation pathway for Saccharomyces cerevisiae. However, the parameter estimation of biological processes has always been a challenging task due to the complexity and nonlinear equations. Therefore, we present this algorithm as a new approach for parameter estimation for biological interactions to obtain more accurate parameter values. The result shows that BA outperforms other estimation algorithms as it produces the most accurate kinetic parameters, which contributes to the precision of simulated kinetic model.


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