A Hybrid of Optimization Method for Multiobjective Constraint Optimization Of Biochemical System Production

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 m...

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Main Authors:	Mohd Arfian, Ismail, Safaai, Deris, Mohd Saberi, Mohamad, Mohd Adham, Isa, Afnizanfaizal, Abdullah, Muhammad Akmal, Remli, Shayma, Mustafa Mohi-Aldeen
Format:	Article
Language:	English
Published:	JATIT 2015
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/11864/ http://umpir.ump.edu.my/id/eprint/11864/ http://umpir.ump.edu.my/id/eprint/11864/1/A%20Hybrid%20Of%20Optimization%20Method%20For%20Multiobjective%20Constraint%20Optimization%20Of%20Biochemical%20System%20Production.pdf

id	ump-11864
recordtype	eprints
spelling	ump-118642018-03-27T03:44:11Z http://umpir.ump.edu.my/id/eprint/11864/ A Hybrid of Optimization Method for Multiobjective Constraint Optimization Of Biochemical System Production Mohd Arfian, Ismail Safaai, Deris Mohd Saberi, Mohamad Mohd Adham, Isa Afnizanfaizal, Abdullah Muhammad Akmal, Remli Shayma, Mustafa Mohi-Aldeen QA76 Computer software 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. JATIT 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11864/1/A%20Hybrid%20Of%20Optimization%20Method%20For%20Multiobjective%20Constraint%20Optimization%20Of%20Biochemical%20System%20Production.pdf Mohd Arfian, Ismail and Safaai, Deris and Mohd Saberi, Mohamad and Mohd Adham, Isa and Afnizanfaizal, Abdullah and Muhammad Akmal, Remli and Shayma, Mustafa 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 (print); 817-3195 (online) http://www.jatit.org/volumes/Vol81No3/14Vol81No3.pdf
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 Safaai, Deris Mohd Saberi, Mohamad Mohd Adham, Isa Afnizanfaizal, Abdullah Muhammad Akmal, Remli Shayma, Mustafa Mohi-Aldeen A Hybrid of Optimization Method for Multiobjective Constraint Optimization Of Biochemical System Production
description	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.
format	Article
author	Mohd Arfian, Ismail Safaai, Deris Mohd Saberi, Mohamad Mohd Adham, Isa Afnizanfaizal, Abdullah Muhammad Akmal, Remli Shayma, Mustafa Mohi-Aldeen
author_facet	Mohd Arfian, Ismail Safaai, Deris Mohd Saberi, Mohamad Mohd Adham, Isa Afnizanfaizal, Abdullah Muhammad Akmal, Remli Shayma, Mustafa Mohi-Aldeen
author_sort	Mohd Arfian, Ismail
title	A Hybrid of Optimization Method for Multiobjective Constraint Optimization Of Biochemical System Production
title_short	A Hybrid of Optimization Method for Multiobjective Constraint Optimization Of Biochemical System Production
title_full	A Hybrid of Optimization Method for Multiobjective Constraint Optimization Of Biochemical System Production
title_fullStr	A Hybrid of Optimization Method for Multiobjective Constraint Optimization Of Biochemical System Production
title_full_unstemmed	A Hybrid of Optimization Method for Multiobjective Constraint Optimization Of Biochemical System Production
title_sort	hybrid of optimization method for multiobjective constraint optimization of biochemical system production
publisher	JATIT
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/11864/ http://umpir.ump.edu.my/id/eprint/11864/ http://umpir.ump.edu.my/id/eprint/11864/1/A%20Hybrid%20Of%20Optimization%20Method%20For%20Multiobjective%20Constraint%20Optimization%20Of%20Biochemical%20System%20Production.pdf
first_indexed	2023-09-18T22:12:53Z
last_indexed	2023-09-18T22:12:53Z
_version_	1777415145053487104

A Hybrid of Optimization Method for Multiobjective Constraint Optimization Of Biochemical System Production

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