S. Omatu et al. (Eds.): Distributed Computing and Artificial Intelligence, AISC 151, pp. 709–716. springerlink.com © Springer-Verlag Berlin Heidelberg 2012 Using an Improved Differential Evolution Algorithm for Parameter Estimation to Simulate Glycolysis Pathway Chuii Khim Chong, Mohd Saberi Mohamad, Safaai Deris, Shahir Shamsir, Afnizanfaizal Abdullah, Yee Wen Choon, Lian En Chai, and Sigeru Omatu Abstract. This paper presents an improved Differential Evolution algorithm (IDE). It is aimed at improving its performance in estimating the relevant parameters for metabolic pathway data to simulate glycolysis pathway for yeast. Metabolic pathway data are expected to be of significant help in the development of efficient tools in kinetic modeling and parameter estimation platforms. Nonetheless, due to the noisy data and difficulty of the system in estimating myriad of parameters, many computation algorithms face obstacles and require longer computational time to estimate the relevant parameters. The IDE proposed in this paper is a hybrid of a Differential Evolution algorithm (DE) and a Kalman Filter (KF). The outcome of IDE is proven to be superior than a Genetic Algorithm (GA) and DE. The results of IDE from this experiment show estimated optimal kinetic parameters values, shorter computation time and better accuracy of simulated results compared to the other estimation algorithms. Keywords: Parameter Estimation, Differential Evolution Algorithm, Kalman Filter, Simulation. Chuii Khim Chong · Mohd Saberi Mohamad · Safaai Deris · Afnizanfaizal Abdullah · Yee Wen Choon · Lian En Chai Artificial Intelligence and Bioinformatics Research Group, Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia e-mail: ckchong2@live.utm.my, saberi@utm.my, safaai@utm.my, afnizanfaizal@utm.my, ywchoon2@live.utm.my, lechai2@live.utm.my Shahir Shamsir Department of Biological Sciences, Faculty of Biosciences and Bioengineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia e-mail: shahir@fbb.utm.my Sigeru Omatu Department of Electronics, Information and Communication Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan e-mail: omatu@rsh.oit.ac.jp