DocumentCode
2729434
Title
Modelling of biochemical systems using the particle swarm optimization and chaotic theory
Author
Lu, Mingshou ; Shin, Dongil ; Kang, Hwan Il
Author_Institution
Dept. of Chem. Eng., Myongji Univ., Yongin, South Korea
Volume
1
fYear
2009
fDate
20-22 Nov. 2009
Firstpage
420
Lastpage
424
Abstract
In this work, the particle swarm optimization (PSO) algorithm combined with chaotic theory was employed to modeling data of biochemical systems. For this purpose, three case studies will be applied with PSO as parameter estimation problems and examine the performance of the new developed methodology.
Keywords
biochemistry; bioinformatics; chaos; parameter estimation; particle swarm optimisation; PSO algorithm; biochemical systems; chaotic theory; data modeling; parameter estimation problems; particle swarm optimization; Biology computing; Chaos; Chemical engineering; Constraint optimization; Difference equations; Humans; Iterative algorithms; Large-scale systems; Parameter estimation; Particle swarm optimization; Hénon map; Particle Swamr Optimization; chaos; large scale; metabolic pathway; parameter estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-4754-1
Electronic_ISBN
978-1-4244-4738-1
Type
conf
DOI
10.1109/ICICISYS.2009.5357810
Filename
5357810
Link To Document