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
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;
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
DOI :
10.1109/ICICISYS.2009.5357810
