An Improved Hybrid of Particle Swarm Optimization and the Gravitational Search Algorithm to Produce a Kinetic Parameter Estimation of Aspartate Biochemical Pathways

An Improved Hybrid of Particle Swarm Optimization and the Gravitational Search Algorithm to Produce a Kinetic Parameter Estimation of Aspartate Biochemical Pathways

Mathematical modelling is fundamental to understand the dynamic behavior and regulation of the biochemical metabolisms and pathways that are found in biological systems. Pathways are used to describe complex processes that involve many parameters. It is important to have an accurate and complete set...

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Bibliographic Details
Main Authors: Ahmad Muhaimin, Ismail, Mohd Saberi, Mohamad, Hairudin, Abdul Majid, Khairul Hamimah, Abas, Safaai, Deris, Zaki, Nazar, Siti Zaiton, Mohd Hashim, Zuwairie, Ibrahim, Muhammad Akmal, Remli
Format: Article
Language:English
Published: Elsevier 2017
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/20121/
http://umpir.ump.edu.my/id/eprint/20121/
http://umpir.ump.edu.my/id/eprint/20121/
http://umpir.ump.edu.my/id/eprint/20121/1/fkee-2017-zuwairie-%20An%20Improved%20Hybrid%20of%20Particle%20Swarm%20Optimization%20and%20the%20Gravitational1.pdf

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