Improved differential evolution algorithm for parameter estimation to improve the production of biochemical pathway
This paper introduces an improved Differential Evolution algorithm (IDE) which aims at improving its performance in estimating the relevant parameters for metabolic pathway data to simulate glycolysis pathway for yeast. Metabolic pathway data are expected to be of significant help in the development...
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| Format: | Article |
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Universidad Internacional de La Rioja (UNIR)
2012
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| author | Chuii, Khim Chong Mohamad, Mohd. Saberi Deris, Safaai Shamsir, Mohd. Shahir Yee, Wen Choon Lian, En Chai |
| author_facet | Chuii, Khim Chong Mohamad, Mohd. Saberi Deris, Safaai Shamsir, Mohd. Shahir Yee, Wen Choon Lian, En Chai |
| author_sort | Chuii, Khim Chong |
| collection | ePrints |
| description | This paper introduces an improved Differential Evolution algorithm (IDE) which aims at improving its performance in estimating the relevant parameters for metabolic pathway data to simulate glycolysis pathway for yeast. Metabolic pathway data are expected to be of significant help in the development of efficient tools in kinetic modeling and parameter estimation platforms. Many computation algorithms face obstacles due to the noisy data and difficulty of the system in estimating myriad of parameters, and require longer computational time to estimate the relevant parameters. The proposed algorithm (IDE) in this paper is a hybrid of a Differential Evolution algorithm (DE) and a Kalman Filter (KF). The outcome of IDE is proven to be superior than Genetic Algorithm (GA) and DE. The results of IDE from experiments show estimated optimal kinetic parameters values, shorter computation time and increased accuracy for simulated results compared with other estimation algorithms. |
| first_indexed | 2024-03-05T18:48:01Z |
| format | Article |
| id | utm.eprints-30569 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:48:01Z |
| publishDate | 2012 |
| publisher | Universidad Internacional de La Rioja (UNIR) |
| record_format | dspace |
| spelling | utm.eprints-305692019-09-24T09:36:18Z http://eprints.utm.my/30569/ Improved differential evolution algorithm for parameter estimation to improve the production of biochemical pathway Chuii, Khim Chong Mohamad, Mohd. Saberi Deris, Safaai Shamsir, Mohd. Shahir Yee, Wen Choon Lian, En Chai QA75 Electronic computers. Computer science This paper introduces an improved Differential Evolution algorithm (IDE) which aims at improving its performance in estimating the relevant parameters for metabolic pathway data to simulate glycolysis pathway for yeast. Metabolic pathway data are expected to be of significant help in the development of efficient tools in kinetic modeling and parameter estimation platforms. Many computation algorithms face obstacles due to the noisy data and difficulty of the system in estimating myriad of parameters, and require longer computational time to estimate the relevant parameters. The proposed algorithm (IDE) in this paper is a hybrid of a Differential Evolution algorithm (DE) and a Kalman Filter (KF). The outcome of IDE is proven to be superior than Genetic Algorithm (GA) and DE. The results of IDE from experiments show estimated optimal kinetic parameters values, shorter computation time and increased accuracy for simulated results compared with other estimation algorithms. Universidad Internacional de La Rioja (UNIR) 2012 Article PeerReviewed Chuii, Khim Chong and Mohamad, Mohd. Saberi and Deris, Safaai and Shamsir, Mohd. Shahir and Yee, Wen Choon and Lian, En Chai (2012) Improved differential evolution algorithm for parameter estimation to improve the production of biochemical pathway. International Journal of Interactive Multimedia and Artificial Intelligence, 1 (5). pp. 22-29. ISSN 1989-1660 http://dx.doi.org/10.9781/ijimai.2012.153 DOI:10.9781/ijimai.2012.153 |
| spellingShingle | QA75 Electronic computers. Computer science Chuii, Khim Chong Mohamad, Mohd. Saberi Deris, Safaai Shamsir, Mohd. Shahir Yee, Wen Choon Lian, En Chai Improved differential evolution algorithm for parameter estimation to improve the production of biochemical pathway |
| title | Improved differential evolution algorithm for parameter estimation to improve the production of biochemical pathway |
| title_full | Improved differential evolution algorithm for parameter estimation to improve the production of biochemical pathway |
| title_fullStr | Improved differential evolution algorithm for parameter estimation to improve the production of biochemical pathway |
| title_full_unstemmed | Improved differential evolution algorithm for parameter estimation to improve the production of biochemical pathway |
| title_short | Improved differential evolution algorithm for parameter estimation to improve the production of biochemical pathway |
| title_sort | improved differential evolution algorithm for parameter estimation to improve the production of biochemical pathway |
| topic | QA75 Electronic computers. Computer science |
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