Particle swarm optimization : empirical and theoretical stability analysis

Particle swarm optimization : empirical and theoretical stability analysis

Particle swarm optimization (PSO) is a well-known stochastic population-based search algorithm, originally developed by Kennedy and Eberhart in 1995. Given PSO's success at solving numerous real world problems, a large number of PSO variants have been proposed. However, unlike the original PSO...

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Bibliographic Details
Main Author: Cleghorn, Christopher Wesley
Other Authors: Engelbrecht, Andries P.
Language:en
Published: University of Pretoria 2017
Subjects:
Particle swarm optimization (PSO)
Stability analysis
Theory
Stability analysis framework
UCTD
Online Access:http://hdl.handle.net/2263/61265
Cleghorn, CW 2017, Particle swarm optimization : empirical and theoretical stability analysis, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/61265>

Internet

http://hdl.handle.net/2263/61265
Cleghorn, CW 2017, Particle swarm optimization : empirical and theoretical stability analysis, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/61265>

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