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
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;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1341980
