Universiti Teknologi Malaysia Institutional Repository

Improved differential evolution algorithm for parameter estimation to improve the production of biochemical pathway

Chuii, Khim Chong and Mohamad, Mohd. Saberi and Deris, Safaai and Shamsir, Mohd. Shahir and Yee, Wen Choon and Lian, En Chai (2012) Improved differential evolution algorithm for parameter estimation to improve the production of biochemical pathway. International Journal of Interactive Multimedia and Artificial Intelligence, 1 (5). pp. 22-29. ISSN 1989-1660

Full text not available from this repository.

Official URL: http://dx.doi.org/10.9781/ijimai.2012.153

Abstract

This paper introduces an improved Differential Evolution algorithm (IDE) which aims 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. Many computation algorithms face obstacles due to the noisy data and difficulty of the system in estimating myriad of parameters, and require longer computational time to estimate the relevant parameters. The proposed algorithm (IDE) 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 Genetic Algorithm (GA) and DE. The results of IDE from experiments show estimated optimal kinetic parameters values, shorter computation time and increased accuracy for simulated results compared with other estimation algorithms.

Item Type:Article
Uncontrolled Keywords:parameter estimation, differential evolution algorithm, kalman filter, simulation
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System
ID Code:30569
Deposited By: Yanti Mohd Shah
Deposited On:20 May 2014 01:17
Last Modified:24 Sep 2019 09:36

Repository Staff Only: item control page