A Hybrid of Optimization Method for Multi-Objective 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...
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| Format: | Article |
| Language: | English |
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JATIT
2015
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| Online Access: | http://umpir.ump.edu.my/id/eprint/11776/1/A%20Hybrid%20of%20Optimization%20Method%20for%20Multi-objective%20Constraint%20Optimization%20of%20Biochemical%20System%20Production.pdf |
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| author | Mohd Arfian, Ismail Safaai, Deris Mohd Saberi, Mohamad Mohd Adham, Isa Afnizanfaizal, Abdullah Muhammad Akmal, Remli Mohi-Aldeen, Shayma Mustafa |
| author_facet | Mohd Arfian, Ismail Safaai, Deris Mohd Saberi, Mohamad Mohd Adham, Isa Afnizanfaizal, Abdullah Muhammad Akmal, Remli Mohi-Aldeen, Shayma Mustafa |
| author_sort | Mohd Arfian, Ismail |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:00:20Z |
| format | Article |
| id | UMPir11776 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:00:20Z |
| publishDate | 2015 |
| publisher | JATIT |
| record_format | dspace |
| spelling | UMPir117762018-03-27T03:40:00Z http://umpir.ump.edu.my/id/eprint/11776/ A Hybrid of Optimization Method for Multi-Objective Constraint Optimization of Biochemical System Production Mohd Arfian, Ismail Safaai, Deris Mohd Saberi, Mohamad Mohd Adham, Isa Afnizanfaizal, Abdullah Muhammad Akmal, Remli Mohi-Aldeen, Shayma Mustafa QA75 Electronic computers. Computer science 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/11776/1/A%20Hybrid%20of%20Optimization%20Method%20for%20Multi-objective%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 Mohi-Aldeen, Shayma Mustafa (2015) A Hybrid of Optimization Method for Multi-Objective 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). (Published) http://www.jatit.org/volumes/Vol81No3/14Vol81No3.pdf |
| spellingShingle | QA75 Electronic computers. Computer science Mohd Arfian, Ismail Safaai, Deris Mohd Saberi, Mohamad Mohd Adham, Isa Afnizanfaizal, Abdullah Muhammad Akmal, Remli Mohi-Aldeen, Shayma Mustafa A Hybrid of Optimization Method for Multi-Objective Constraint Optimization of Biochemical System Production |
| title | A Hybrid of Optimization Method for Multi-Objective Constraint Optimization of Biochemical System Production |
| title_full | A Hybrid of Optimization Method for Multi-Objective Constraint Optimization of Biochemical System Production |
| title_fullStr | A Hybrid of Optimization Method for Multi-Objective Constraint Optimization of Biochemical System Production |
| title_full_unstemmed | A Hybrid of Optimization Method for Multi-Objective Constraint Optimization of Biochemical System Production |
| title_short | A Hybrid of Optimization Method for Multi-Objective Constraint Optimization of Biochemical System Production |
| title_sort | hybrid of optimization method for multi objective constraint optimization of biochemical system production |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/11776/1/A%20Hybrid%20of%20Optimization%20Method%20for%20Multi-objective%20Constraint%20Optimization%20of%20Biochemical%20System%20Production.pdf |
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