title: A newton cooperative genetic algorithm method for in silico optimization of metabolic pathway production.
abstract: This paper presents an in silico optimization method of metabolic pathway production. The metabolic pathway can be represented by a mathematical model known as the generalized mass action model, which leads to a complex nonlinear equations system. The optimization process becomes difficult when steady state and the constraints of the components in the metabolic pathway are involved. To deal with this situation, this paper presents an in silico optimization method, namely the Newton Cooperative Genetic Algorithm (NCGA). The NCGA used Newton method in dealing with the metabolic pathway, and then integrated genetic algorithm and cooperative co-evolutionary algorithm. The proposed method was experimentally applied on the benchmark metabolic pathways, and the results showed that the NCGA achieved better results compared to the existing methods.
authors.affiliation: Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Lebuhraya Tun Razak, Gambang, Kuantan, Malaysia; Artificial Intelligence and Bioinformatics Group, Department of Software Engineering, Faculty of Computing, Universiti Teknologi Malaysia, Johor, Malaysia.
authors.forename: Mohd Arfian
authors.initials: MA
authors.lastname: Ismail
authors.affiliation: Artificial Intelligence and Bioinformatics Group, Department of Software Engineering, Faculty of Computing, Universiti Teknologi Malaysia, Johor, Malaysia.
authors.forename: Safaai
authors.initials: S
authors.lastname: Deris
authors.affiliation: Artificial Intelligence and Bioinformatics Group, Department of Software Engineering, Faculty of Computing, Universiti Teknologi Malaysia, Johor, Malaysia.
authors.forename: Mohd Saberi
authors.initials: MS
authors.lastname: Mohamad
authors.affiliation: Artificial Intelligence and Bioinformatics Group, Department of Software Engineering, Faculty of Computing, Universiti Teknologi Malaysia, Johor, Malaysia.
authors.forename: Afnizanfaizal
authors.initials: A
authors.lastname: Abdullah
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D008962:Models, Theoretical