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 ma...

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主要な著者: Ismail, Mohd. Arfian, Deris, Safaai, Mohamad, Mohd. Saberi, Isa, Mohd Adham, Abdullah, Afnizanfaizal, Remli, Muhammad Akmal, Mustafa, Shayma Mohi-Aldeen
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出版事項: Asian Research Publishing Network (ARPN) 2015
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オンライン・アクセス:http://eprints.utm.my/id/eprint/55472/
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spelling my.utm.554722017-02-15T04:53:17Z http://eprints.utm.my/id/eprint/55472/ A hybrid of optimization method for multiobjective constraint optimization of biochemical system production Ismail, Mohd. Arfian Deris, Safaai Mohamad, Mohd. Saberi Isa, Mohd Adham Abdullah, Afnizanfaizal Remli, Muhammad Akmal Mustafa, Shayma 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. Asian Research Publishing Network (ARPN) 2015-11 Article PeerReviewed Ismail, Mohd. Arfian and Deris, Safaai and Mohamad, Mohd. Saberi and Isa, Mohd Adham and Abdullah, Afnizanfaizal and Remli, Muhammad Akmal and Mustafa, Shayma 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
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA76 Computer software
spellingShingle QA76 Computer software
Ismail, Mohd. Arfian
Deris, Safaai
Mohamad, Mohd. Saberi
Isa, Mohd Adham
Abdullah, Afnizanfaizal
Remli, Muhammad Akmal
Mustafa, Shayma 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 Ismail, Mohd. Arfian
Deris, Safaai
Mohamad, Mohd. Saberi
Isa, Mohd Adham
Abdullah, Afnizanfaizal
Remli, Muhammad Akmal
Mustafa, Shayma Mohi-Aldeen
author_facet Ismail, Mohd. Arfian
Deris, Safaai
Mohamad, Mohd. Saberi
Isa, Mohd Adham
Abdullah, Afnizanfaizal
Remli, Muhammad Akmal
Mustafa, Shayma Mohi-Aldeen
author_sort Ismail, Mohd. Arfian
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 Asian Research Publishing Network (ARPN)
publishDate 2015
url http://eprints.utm.my/id/eprint/55472/
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