Title :
Stochastic stability analysis of the particle dynamics in the PSO algorithm
Author_Institution :
Dept. of Electr. & Electron. Eng., Istanbul Kemerburgaz Univ., Bağcılar, Turkey
Abstract :
In this article we analyze the stability of the particle dynamics in the Particle Swarm Optimization algorithm using tools from the nonlinear control systems literature including positive realness and stability of stochastic systems.
Keywords :
nonlinear control systems; particle swarm optimisation; stability; stochastic systems; PSO algorithm; nonlinear control systems; particle dynamics; particle swarm optimization algorithm; positive realness; stochastic stability analysis; Asymptotic stability; Convergence; Equations; Heuristic algorithms; Linear programming; Stability analysis; Vectors;
Conference_Titel :
Intelligent Control (ISIC), 2012 IEEE International Symposium on
Conference_Location :
Dubrovnik
Print_ISBN :
978-1-4673-4598-9
Electronic_ISBN :
2158-9860
DOI :
10.1109/ISIC.2012.6398264
