CIRG - Research  -  Swarm Intelligence 

[Bullet] Home

- NN
- DM
- SI
- EC
- IA
- Bioinf
- Games
- Opt
- FA
- Industry

Contact Us


The Swarm Intelligence focus area is currently the most active in the group, with the largest number of members. The focus area's main interest is particle swarm optimization (PSO), with the development of new and improved PSO algorithms. Theoretical analyses of PSO are also being done, with convergence proofs being studied. Techniques are developed for constrained optimization, niching (locating multiple solutions), multi-objective optimization, dynamic optimization problems, and to cope with discrete search spaces.

Applications of PSO techniques that are under investigation include the coevolutionary training of neural networks for game playing and financial traders, scheduling, image analysis, and data clustering. The research focus area is also investigating the application of ant colony optimization techniques to exploratory data analysis, workload distribution in computer grids, energy efficient routing in mobile ad hoc networks, and network topology design.


List the current members actively doing research in this focus area. [ Show ]


L Schoeman

PhD Completed in 2010

J Grobler

PhD Started in 2009
M.Eng Completed in 2009

S Khan

PhD Completed in 2009

D Barla-Szabo

M.Sc Started in 2003
Hons-B.Sc Completed in 2002

M Neethling

M.Sc Completed in 2008

F Zablocki

M.Sc Completed in 2008

E Papacostantis

M.Sc Started in 2004
Hons-B.Sc Completed in 2003

L Messerschmidt

M.Sc Completed

C Naicker

PhD Started in 2007
M.Sc Completed in 2006
Hons-B.Sc Completed in 2002

J Conradie

Hons-B.Sc Completed in 2004

J du Plessis

M.Sc Completed in 2005

E Peer

M.Sc Completed in 2005

M Omran

PhD Completed in 2005

G Pampara

M.Sc Started in 2005
Hons-B.Sc Completed in 2004

E van Loggerenberg

M.Sc Started in 2005
Hons-B.Sc Completed in 2004

N Franken

PhD Started in 2005
M.Sc Completed in 2004
Hons-B.Sc Completed in 2002

R Brits

M.Sc Completed in 2003
Hons-B.Sc Completed in 2000

U Paquet

M.Sc Completed in 2003

F van den Bergh

PhD Completed in 2002

A Ismail

PhD Started in 2005
M.Sc Completed in 2001


List publications of this research focus area. [ Show ]



 Johan Conradie

Portrait photo




 Swarm Intelligence


 Degree specific information: Hons-B.Sc


 Co-Evolutionary Approach to Train Mancala/Bao Agents


The use of co-evolutionary techinques is investigated in training an agent to play the African game of Bao. The use of a neural network in determining an optimal evaluation function, as well as the use of particle swarms, is compared to current agent strategies. The effectiveness of co-evolutionary strategies is also compared to those of traditional game-tree approaches.

 Supervisor / Co-Supervisor:

 AP Engelbrecht


 Not available for download yet.

You are visitor #27851
Contact webmaster
Back to top

QualNet Network Simulator University Program Valid XHTML 1.0! Valid CSS!

Computational Intelligence Research Group
University of Pretoria
Copyright © 2018