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...
| Main Authors: | , , , , , |
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| Format: | Article |
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American Scientific Publishers
2018
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| Online Access: | http://eprints.uthm.edu.my/4996/ |
| _version_ | 1848888435533676544 |
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| 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 |
| building | UTHM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T20:10:14Z |
| format | Article |
| id | uthm-4996 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T20:10:14Z |
| publishDate | 2018 |
| publisher | American Scientific Publishers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-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 |
| 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 |
| title | 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_short | 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 |
| topic | T Technology (General) TP248.13-248.65 Biotechnology |
| url | http://eprints.uthm.edu.my/4996/ http://eprints.uthm.edu.my/4996/ |