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A hybrid of optimization method for multiobjective constraint optimization of biochemical system production

Ismail, Mohd. Arfian and Deris, Safaai and Mohamad, Mohd. Saberi and Isa, Mohd Adham and Abdullah, Afnizanfaizal and Remli, Muhammad Akmal and Mustafa, Shayma Mohi-Aldeen (2015) A hybrid of optimization method for multiobjective constraint optimization of biochemical system production. Journal of Theoretical and Applied Information Technology, 81 (3). pp. 502-513. ISSN 1992-8645

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Abstract

In this paper, an advance method for multi-objective constraint optimization method of biochemical system production was proposed and discussed in detail. The proposed method combines Newton method, Strength Pareto Evolutionary Algorithm (SPEA) and Cooperative Co-evolutionary Algorithm (CCA). The main objective of the proposed method was to improve the desired production and at the same time to reduce the total of component concentrations involved in producing the best result. The proposed method starts with Newton method by treating the biochemical system as a non-linear equations system. Then, Genetic Algorithm (GA) in SPEA and CCA were used to represent the variables in non-linear equations system into multiple sub-chromosomes. The used of GA was to improve the desired production while CCA to reduce the total of component concentrations involved. The effectiveness of the proposed method was evaluated using two benchmark biochemical systems and the experimental results showed that the proposed method was able to generate the highest results compare to other existing works.

Item Type:Article
Uncontrolled Keywords:biochemical system, cooperative coevolutionary algorithm, genetic algorithm
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:Computing
ID Code:55472
Deposited By: Practical Student
Deposited On:08 Sep 2016 06:22
Last Modified:15 Feb 2017 04:53

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