DocumentCode
1560882
Title
Analysis of particle swarm optimization based on discrete time linear system theory
Author
Tan, Ying ; Zeng, Jianchao ; Gao, Huimin
Author_Institution
Div. of Syst. Simulation & Comput. Application, Taiyuan Heavy Machinery Inst., China
Volume
3
fYear
2004
Firstpage
2210
Abstract
Particle swarm optimization (PSO) is a new evolutionary computation method. Analysis of the evolutionary trajectories and the convergence properties of PSO are presented based on the discrete time linear system theory, and the conditions for choosing the parameters are given.
Keywords
convergence; discrete time systems; evolutionary computation; linear systems; optimisation; convergence property; discrete time linear system theory; evolutionary computation method; evolutionary trajectory; particle swarm optimization; Computational modeling; Computer applications; Computer simulation; Convergence; Evolutionary computation; Linear systems; Machinery; Particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1341980
Filename
1341980
Link To Document