Particle swarm optimisation in dynamically changing environments - an empirical study

Particle swarm optimisation in dynamically changing environments - an empirical study

Real-world optimisation problems often are of a dynamic nature. Recently, much research has been done to apply particle swarm optimisation (PSO) to dynamic environments (DE). However, these research efforts generally focused on optimising one variation of the PSO algorithm for one type of DE. The ai...

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Bibliographic Details
Main Author: Duhain, Julien Georges Omer Louis
Other Authors: Engelbrecht, Andries P.
Published: University of Pretoria 2013
Subjects:
Atomic PSO
Charged PSO
Self-adapting multi-swarm
Re-evaluating PSO
Particle swarm optimisation (PSO)
Dynamically changing environment
Quantum swarm optimisation
Reinitialising PSO
Computational intelligence
Multi-swarm
UCTD
Online Access:http://hdl.handle.net/2263/25875
Duhain, JGOL 2011, Particle swarm optimisation in dynamically changing environments - an empirical study, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/25875 >
http://upetd.up.ac.za/thesis/available/etd-06262012-124432/

Internet

http://hdl.handle.net/2263/25875
Duhain, JGOL 2011, Particle swarm optimisation in dynamically changing environments - an empirical study, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/25875 >
http://upetd.up.ac.za/thesis/available/etd-06262012-124432/

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