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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Teknologi Malaysia
2015
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| Subjects: | |
| 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 |
Internet
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