Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse)

The hybrid of Differential Evolution algorithm with Kalman Filtering and Bacterial Foraging algorithm is a novel global optimisation method implemented to obtain the best kinetic parameter value. The proposed algorithm is then used to model tyrosine production in Musmusculus (mouse) by using a datas...

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Main Authors:	Jia, Xing Yeoh, Chuii, Khim Chong, Mohd Saberi, Mohamad, Yee, Wen Choon, Lian, En Chai, Safaai, Deris, Zuwairie, Ibrahim
Format:	Article
Language:	English
Published:	Penerbit Universiti Teknologi Malaysia 2015
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/8356/ http://umpir.ump.edu.my/id/eprint/8356/ http://umpir.ump.edu.my/id/eprint/8356/ http://umpir.ump.edu.my/id/eprint/8356/1/Parameter_Estimation_Using_Improved_Differential_Evolution_And_Bacterial_Foraging_Algorithms_To_Model_Tyrosine_Production_In_Mus_Musculus%28Mouse%29.pdf

id	ump-8356
recordtype	eprints
spelling	ump-83562018-02-08T01:25:00Z http://umpir.ump.edu.my/id/eprint/8356/ Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse) Jia, Xing Yeoh Chuii, Khim Chong Mohd Saberi, Mohamad Yee, Wen Choon Lian, En Chai Safaai, Deris Zuwairie, Ibrahim TK Electrical engineering. Electronics Nuclear engineering The hybrid of Differential Evolution algorithm with Kalman Filtering and Bacterial Foraging algorithm is a novel global optimisation method implemented to obtain the best kinetic parameter value. The proposed algorithm is then used to model tyrosine production in Musmusculus (mouse) by using a dataset, the JAK/STAT(Janus Kinase Signal Transducer and Activator of Transcription) signal transduction pathway. Global optimisation is a method to identify the optimal kinetic parameter in ordinary differential equation. From the ordinary parameter of biomathematical field, there are many unknown parameters, and commonly, the parameter is in nonlinear form. Global optimisation method includes differential evolution algorithm, which will be used in this research. Kalman Filter and Bacterial Foraging algorithm helps in handling noise data and convergences faster respectively in the conventional Differential Evolution. The results from this experiment show estimated optimal kinetic parameters values, shorter computation time, and better accuracy of simulated results compared with other estimation algorithms. Penerbit Universiti Teknologi Malaysia 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8356/1/Parameter_Estimation_Using_Improved_Differential_Evolution_And_Bacterial_Foraging_Algorithms_To_Model_Tyrosine_Production_In_Mus_Musculus%28Mouse%29.pdf Jia, Xing Yeoh and Chuii, Khim Chong and Mohd Saberi, Mohamad and Yee, Wen Choon and Lian, En Chai and Safaai, Deris and Zuwairie, Ibrahim (2015) Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse). Jurnal Teknologi (Sciences and Engineering), 72 (1). pp. 49-56. ISSN 0127-9696 (print); 2180-3722 (online) http://dx.doi.org/10.11113/jt.v72.1778 DOI: 10.11113/jt.v72.1778
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Jia, Xing Yeoh Chuii, Khim Chong Mohd Saberi, Mohamad Yee, Wen Choon Lian, En Chai Safaai, Deris Zuwairie, Ibrahim Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse)
description	The hybrid of Differential Evolution algorithm with Kalman Filtering and Bacterial Foraging algorithm is a novel global optimisation method implemented to obtain the best kinetic parameter value. The proposed algorithm is then used to model tyrosine production in Musmusculus (mouse) by using a dataset, the JAK/STAT(Janus Kinase Signal Transducer and Activator of Transcription) signal transduction pathway. Global optimisation is a method to identify the optimal kinetic parameter in ordinary differential equation. From the ordinary parameter of biomathematical field, there are many unknown parameters, and commonly, the parameter is in nonlinear form. Global optimisation method includes differential evolution algorithm, which will be used in this research. Kalman Filter and Bacterial Foraging algorithm helps in handling noise data and convergences faster respectively in the conventional Differential Evolution. The results from this experiment show estimated optimal kinetic parameters values, shorter computation time, and better accuracy of simulated results compared with other estimation algorithms.
format	Article
author	Jia, Xing Yeoh Chuii, Khim Chong Mohd Saberi, Mohamad Yee, Wen Choon Lian, En Chai Safaai, Deris Zuwairie, Ibrahim
author_facet	Jia, Xing Yeoh Chuii, Khim Chong Mohd Saberi, Mohamad Yee, Wen Choon Lian, En Chai Safaai, Deris Zuwairie, Ibrahim
author_sort	Jia, Xing Yeoh
title	Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse)
title_short	Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse)
title_full	Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse)
title_fullStr	Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse)
title_full_unstemmed	Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse)
title_sort	parameter estimation using improved differential evolution and bacterial foraging algorithms to model tyrosine production in mus musculus(mouse)
publisher	Penerbit Universiti Teknologi Malaysia
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/8356/ http://umpir.ump.edu.my/id/eprint/8356/ http://umpir.ump.edu.my/id/eprint/8356/ http://umpir.ump.edu.my/id/eprint/8356/1/Parameter_Estimation_Using_Improved_Differential_Evolution_And_Bacterial_Foraging_Algorithms_To_Model_Tyrosine_Production_In_Mus_Musculus%28Mouse%29.pdf
first_indexed	2023-09-18T22:05:50Z
last_indexed	2023-09-18T22:05:50Z
_version_	1777414701923172352

Parameter Estimation Using Improved Differential Evolution And Bacterial Foraging Algorithms To Model Tyrosine Production In Mus Musculus(Mouse)

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