Open AccessSimulation of Fermentation Pathway Using Bees Algorithm
Author(s) -
Yi Ying Leong,
Chuii Khim Chong,
Lian En Chai,
Safaai Deris,
Rosli Md. Illias,
Sigeru Omatu,
Mohd Saberi Mohamad
Publication year - 2013
Publication title -
advances in distributed computing and artificial intelligence journal
Language(s) - English
Resource type - Journals
ISSN - 2255-2863
DOI - 10.14201/adcaij2012121319
Subject(s) - nonlinear system , estimation theory , algorithm , computer science , bees algorithm , biological system , task (project management) , mathematical optimization , estimation , mathematics , biology , engineering , physics , systems engineering , quantum mechanics , metaheuristic
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.