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Parameter estimation of essential amino acids in Arabidopsis thaliana using hybrid of bees algorithm and harmony search

Aw, Mei Yee and Mohd Saberi, Mohamad and Chong, Chuii Khim and Safaai, Deris and Muhammad Akmal, Remli and Mohd Arfian, Ismail and Corchado, Juan Manuel and Omatu, Sigeru (2019) Parameter estimation of essential amino acids in Arabidopsis thaliana using hybrid of bees algorithm and harmony search. In: Practical Applications of Computational Biology and Bioinformatics, 12th International Conference. Advances in Intelligent Systems and Computing . Springer Verlag, Berlin, Germany, pp. 9-16. ISBN 978-3-319-98702-6

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Abstract

Mathematical models of metabolic processes are the cornerstone of computational systems biology. In model building, the task of parameter estimation is difficult due to the huge numbers of kinetics parameters involved. The common way of estimating the parameters is to formulate it as an optimization problem. Global optimization methods can be applied by minimizing the distance between experimental data and predicted models. This paper proposes the Hybrid of Bees Algorithm and Harmony Search (BAHS) to estimate the kinetics parameters of essential amino acid production in the aspartate metabolism for Arabidopsis thaliana. The performance of the BAHS is evaluated and compared with other algorithms. The results show that BAHS performed better as it improved the performance of the original BA by 60%. Meanwhile, it takes less computational time to estimate the kinetics parameters of essential amino acid production for Arabidopsis thaliana.

Item Type: Book Section
Additional Information: Indexed by Springer
Uncontrolled Keywords: Systems biology; Parameter estimation; Bees Algorithm; Harmony Search; Computational intelligence; Arabidopsis thaliana
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 15 Nov 2018 07:29
Last Modified: 15 May 2019 04:27
URI: http://umpir.ump.edu.my/id/eprint/22145
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