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Newton competitive genetic algorithm method for optimization the production of biochemical systems

In this work, the optimization of biochemical systems production is performed by using a hybrid method of Newton competitive genetic algorithm is presented. The proposed method works by representing the biochemical systems as a generalized mass action model, where it leads to the process of solving...

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Main Authors:	Ismail, Mohd Arfian, Ab Razak, Kirahman, Kohbalan, Moorthy, Mezhuyev, Vitaliy, Kasim, Shahreen, Ibrahim, Ashraf Osman
Format:	Article
Published:	American Scientific Publishers 2018
Subjects:	T Technology (General) TP248.13-248.65 Biotechnology
Online Access:	http://eprints.uthm.edu.my/4996/ http://dx.doi.org/10.1166/asl.2018.12963
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id	my.uthm.eprints.4996
record_format	eprints
spelling	my.uthm.eprints.49962022-01-03T04:39:02Z http://eprints.uthm.edu.my/4996/ Newton competitive genetic algorithm method for optimization the production of biochemical systems Ismail, Mohd Arfian Ab Razak, Kirahman Kohbalan, Moorthy Mezhuyev, Vitaliy Kasim, Shahreen Ibrahim, Ashraf Osman T Technology (General) TP248.13-248.65 Biotechnology In this work, the optimization of biochemical systems production is performed by using a hybrid method of Newton competitive genetic algorithm is presented. The proposed method works by representing the biochemical systems as a generalized mass action model, where it leads to the process of solving a complex non-linear equations system. The optimization process becomes hard and difficult when it involves multi-objective problem. This is where two objectives, namely the maximize the biochemical systems production and minimize the total amount of chemical concentrations involves. To deal with the problem, this work proposed a hybrid method of the Newton method, genetic algorithm, and competitive co-evolutionary algorithm. The proposed method was experimentally applied on the benchmark biochemical systems and the experimental results showed that the proposed method achieved better results compared to the existing works. American Scientific Publishers 2018 Article PeerReviewed Ismail, Mohd Arfian and Ab Razak, Kirahman and Kohbalan, Moorthy and Mezhuyev, Vitaliy and Kasim, Shahreen and Ibrahim, Ashraf Osman (2018) Newton competitive genetic algorithm method for optimization the production of biochemical systems. Advanced Science Letters, 24 (10). pp. 7481-7485. ISSN 1936-6612 http://dx.doi.org/10.1166/asl.2018.12963
institution	Universiti Tun Hussein Onn Malaysia
building	UTHM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tun Hussein Onn Malaysia
content_source	UTHM Institutional Repository
url_provider	http://eprints.uthm.edu.my/
topic	T Technology (General) TP248.13-248.65 Biotechnology
spellingShingle	T Technology (General) TP248.13-248.65 Biotechnology Ismail, Mohd Arfian Ab Razak, Kirahman Kohbalan, Moorthy Mezhuyev, Vitaliy Kasim, Shahreen Ibrahim, Ashraf Osman Newton competitive genetic algorithm method for optimization the production of biochemical systems
description	In this work, the optimization of biochemical systems production is performed by using a hybrid method of Newton competitive genetic algorithm is presented. The proposed method works by representing the biochemical systems as a generalized mass action model, where it leads to the process of solving a complex non-linear equations system. The optimization process becomes hard and difficult when it involves multi-objective problem. This is where two objectives, namely the maximize the biochemical systems production and minimize the total amount of chemical concentrations involves. To deal with the problem, this work proposed a hybrid method of the Newton method, genetic algorithm, and competitive co-evolutionary algorithm. The proposed method was experimentally applied on the benchmark biochemical systems and the experimental results showed that the proposed method achieved better results compared to the existing works.
format	Article
author	Ismail, Mohd Arfian Ab Razak, Kirahman Kohbalan, Moorthy Mezhuyev, Vitaliy Kasim, Shahreen Ibrahim, Ashraf Osman
author_facet	Ismail, Mohd Arfian Ab Razak, Kirahman Kohbalan, Moorthy Mezhuyev, Vitaliy Kasim, Shahreen Ibrahim, Ashraf Osman
author_sort	Ismail, Mohd Arfian
title	Newton competitive genetic algorithm method for optimization the production of biochemical systems
title_short	Newton competitive genetic algorithm method for optimization the production of biochemical systems
title_full	Newton competitive genetic algorithm method for optimization the production of biochemical systems
title_fullStr	Newton competitive genetic algorithm method for optimization the production of biochemical systems
title_full_unstemmed	Newton competitive genetic algorithm method for optimization the production of biochemical systems
title_sort	newton competitive genetic algorithm method for optimization the production of biochemical systems
publisher	American Scientific Publishers
publishDate	2018
url	http://eprints.uthm.edu.my/4996/ http://dx.doi.org/10.1166/asl.2018.12963
_version_	1738581322945789952
score	13.211869

Newton competitive genetic algorithm method for optimization the production of biochemical systems

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