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:	Mohd Arfian, Ismail, Kirahman, Ab Razak, Kohbalan, Moorthy, Mezhuyev, Vitaliy, Shahreen, Kasim, Ashraf Osman, Ibrahim
Format:	Article
Language:	English
Published:	American Scientific Publisher 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/20685/ http://umpir.ump.edu.my/id/eprint/20685/ http://umpir.ump.edu.my/id/eprint/20685/ http://umpir.ump.edu.my/id/eprint/20685/1/34.%20Newton%20Competitive%20Genetic%20Algorithm%20Method%20for%20Optimization%20the%20Production%20of%20Biochemical%20Systems1.pdf

id	ump-20685
recordtype	eprints
spelling	ump-206852018-11-21T02:01:18Z http://umpir.ump.edu.my/id/eprint/20685/ Newton competitive genetic algorithm method for optimization the production of biochemical systems Mohd Arfian, Ismail Kirahman, Ab Razak Kohbalan, Moorthy Mezhuyev, Vitaliy Shahreen, Kasim Ashraf Osman, Ibrahim QA76 Computer software 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 Publisher 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/20685/1/34.%20Newton%20Competitive%20Genetic%20Algorithm%20Method%20for%20Optimization%20the%20Production%20of%20Biochemical%20Systems1.pdf Mohd Arfian, Ismail and Kirahman, Ab Razak and Kohbalan, Moorthy and Mezhuyev, Vitaliy and Shahreen, Kasim and Ashraf Osman, Ibrahim (2018) Newton competitive genetic algorithm method for optimization the production of biochemical systems. Advanced Science Letters, 24 (10). pp. 7481-7485. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.12963 DOI: 10.1166/asl.2018.12963
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 Kirahman, Ab Razak Kohbalan, Moorthy Mezhuyev, Vitaliy Shahreen, Kasim Ashraf Osman, Ibrahim 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	Mohd Arfian, Ismail Kirahman, Ab Razak Kohbalan, Moorthy Mezhuyev, Vitaliy Shahreen, Kasim Ashraf Osman, Ibrahim
author_facet	Mohd Arfian, Ismail Kirahman, Ab Razak Kohbalan, Moorthy Mezhuyev, Vitaliy Shahreen, Kasim Ashraf Osman, Ibrahim
author_sort	Mohd Arfian, Ismail
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 Publisher
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/20685/ http://umpir.ump.edu.my/id/eprint/20685/ http://umpir.ump.edu.my/id/eprint/20685/ http://umpir.ump.edu.my/id/eprint/20685/1/34.%20Newton%20Competitive%20Genetic%20Algorithm%20Method%20for%20Optimization%20the%20Production%20of%20Biochemical%20Systems1.pdf
first_indexed	2023-09-18T22:29:58Z
last_indexed	2023-09-18T22:29:58Z
_version_	1777416220109176832

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

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