Multi-objective Optimization of Biochemical System Production Using an Improve Newton Competitive Differential Evolution Method

In this paper, an improved method of multi-objective optimization for biochemical system production is presented and discussed in detail. The optimization process of biochemical system production become hard and difficult when involved a large biochemical system that contains many components. In add...

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Main Authors:	Mohd Arfian, Ismail, Mezhuyev, Vitaliy, Safaai, Deris, Mohd Saberi, Mohamad, Shahreen, Kasim, Saedudin, Rd Rohmat
Format:	Article
Language:	English
Published:	Indonesian Society for Knowledge and Human Development 2017
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/20028/ http://umpir.ump.edu.my/id/eprint/20028/ http://umpir.ump.edu.my/id/eprint/20028/ http://umpir.ump.edu.my/id/eprint/20028/1/3388-7557-1-PB.pdf

id	ump-20028
recordtype	eprints
spelling	ump-200282018-02-27T01:02:22Z http://umpir.ump.edu.my/id/eprint/20028/ Multi-objective Optimization of Biochemical System Production Using an Improve Newton Competitive Differential Evolution Method Mohd Arfian, Ismail Mezhuyev, Vitaliy Safaai, Deris Mohd Saberi, Mohamad Shahreen, Kasim Saedudin, Rd Rohmat QA76 Computer software In this paper, an improved method of multi-objective optimization for biochemical system production is presented and discussed in detail. The optimization process of biochemical system production become hard and difficult when involved a large biochemical system that contains many components. In addition, the multi-objective problem also needs to be considered. Due to that, this study proposed and improved a method that comprises with Newton method, differential evolution algorithm (DE) and competitive co-evolutionary algorithm(ComCA). The aim of the proposed method is to maximize the production and simultaneously minimize the total amount of chemical concentrations involves. The operation of the proposed method starts with Newton method by dealing with biochemical system production as a nonlinear equations system. Then DE and ComCA are used to represent the variables in nonlinear equation system and tune the variables in order to find the best solution. The used of DE is to maximize the production while ComCA is to minimize the total amount of chemical concentrations involves. The effectiveness of the proposed method is evaluated using two benchmark biochemical systems, and the experimental results show that the proposed method performs well compared to other works. Indonesian Society for Knowledge and Human Development 2017-09-25 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/20028/1/3388-7557-1-PB.pdf Mohd Arfian, Ismail and Mezhuyev, Vitaliy and Safaai, Deris and Mohd Saberi, Mohamad and Shahreen, Kasim and Saedudin, Rd Rohmat (2017) Multi-objective Optimization of Biochemical System Production Using an Improve Newton Competitive Differential Evolution Method. International Journal on Advanced Science, Engineering and Information Technology, 7 (4-2). pp. 1535-1542. ISSN 2088-5334 http://dx.doi.org/10.18517/ijaseit.7.4-2.3388 doi: 10.18517/ijaseit.7.4-2.3388
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Mohd Arfian, Ismail Mezhuyev, Vitaliy Safaai, Deris Mohd Saberi, Mohamad Shahreen, Kasim Saedudin, Rd Rohmat Multi-objective Optimization of Biochemical System Production Using an Improve Newton Competitive Differential Evolution Method
description	In this paper, an improved method of multi-objective optimization for biochemical system production is presented and discussed in detail. The optimization process of biochemical system production become hard and difficult when involved a large biochemical system that contains many components. In addition, the multi-objective problem also needs to be considered. Due to that, this study proposed and improved a method that comprises with Newton method, differential evolution algorithm (DE) and competitive co-evolutionary algorithm(ComCA). The aim of the proposed method is to maximize the production and simultaneously minimize the total amount of chemical concentrations involves. The operation of the proposed method starts with Newton method by dealing with biochemical system production as a nonlinear equations system. Then DE and ComCA are used to represent the variables in nonlinear equation system and tune the variables in order to find the best solution. The used of DE is to maximize the production while ComCA is to minimize the total amount of chemical concentrations involves. The effectiveness of the proposed method is evaluated using two benchmark biochemical systems, and the experimental results show that the proposed method performs well compared to other works.
format	Article
author	Mohd Arfian, Ismail Mezhuyev, Vitaliy Safaai, Deris Mohd Saberi, Mohamad Shahreen, Kasim Saedudin, Rd Rohmat
author_facet	Mohd Arfian, Ismail Mezhuyev, Vitaliy Safaai, Deris Mohd Saberi, Mohamad Shahreen, Kasim Saedudin, Rd Rohmat
author_sort	Mohd Arfian, Ismail
title	Multi-objective Optimization of Biochemical System Production Using an Improve Newton Competitive Differential Evolution Method
title_short	Multi-objective Optimization of Biochemical System Production Using an Improve Newton Competitive Differential Evolution Method
title_full	Multi-objective Optimization of Biochemical System Production Using an Improve Newton Competitive Differential Evolution Method
title_fullStr	Multi-objective Optimization of Biochemical System Production Using an Improve Newton Competitive Differential Evolution Method
title_full_unstemmed	Multi-objective Optimization of Biochemical System Production Using an Improve Newton Competitive Differential Evolution Method
title_sort	multi-objective optimization of biochemical system production using an improve newton competitive differential evolution method
publisher	Indonesian Society for Knowledge and Human Development
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/20028/ http://umpir.ump.edu.my/id/eprint/20028/ http://umpir.ump.edu.my/id/eprint/20028/ http://umpir.ump.edu.my/id/eprint/20028/1/3388-7557-1-PB.pdf
first_indexed	2023-09-18T22:28:41Z
last_indexed	2023-09-18T22:28:41Z
_version_	1777416139684446208

Multi-objective Optimization of Biochemical System Production Using an Improve Newton Competitive Differential Evolution Method

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