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

• 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/8356/1/Parameter_Estimation_Using_Improved_Differential_Evolution_And_Bacterial_Foraging_Algorithms_To_Model_Tyrosine_Production_In_Mus_Musculus%28Mouse%29.pdf; http://umpir.ump.edu.my/id/eprint/8356/; http://dx.doi.org/10.11113/jt.v72.1778

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...