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Optimisation of Biochemical Systems Production using Hybrid of Newton Method, Differential Evolution Algorithm and Cooperative Coevolution Algorithm

Mohd Arfian, Ismail and Mezhuyev, Vitaliy and Kohbalan, Moorthy and Shahreen, Kasim and Ashraf Osman, Ibrahim (2017) Optimisation of Biochemical Systems Production using Hybrid of Newton Method, Differential Evolution Algorithm and Cooperative Coevolution Algorithm. Indonesian Journal of Electrical Engineering and Computer Science, 8 (1). pp. 27-35. ISSN 2502-4752

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Abstract

This paper present a hybrid method of Newton method, Differential Evolution Algorithm (DE) and Cooperative Coevolution Algorithm (CCA). The proposed method is used to solve the optimisation problem in optimise the production of biochemical systems. The problems are maximising the biochemical systems pro- duction and simultaneously minimising the total amount of chemical reaction concentration involves. Besides that, the size of biochemical systems also contributed to the problem in optimising the biochemical systems production. In the proposed method, the Newton method is used in dealing biochemical system, DE for opti- misation process while CCA is used to increase the performance of DE. In order to evaluate the performance of the proposed method, the proposed method is tested on two benchmark biochemical systems. Then, the result that obtained by the proposed method is compare with other works and the finding shows that the proposed method performs well compare to the other works.

Item Type: Article
Uncontrolled Keywords: Newton method, Differential Evolution Algorithm, Cooperative Coevolutioan Algorithm, Biochemical systems, Computational Intelligence
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Dr. Mohd Arfian Ismail
Date Deposited: 30 Jan 2018 02:40
Last Modified: 27 Feb 2018 00:58
URI: http://umpir.ump.edu.my/id/eprint/20025
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