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The focus of this research area is on the development of evolutionary algorithms, specifically new differential evolution algorithms, with application to dynamic environments, and coevolution. Competitive coevolution strategies in combination with particle swarm optimizers are investigated for training strategists from zero knowledge.

Applications are to solve optimization problems, game playing, data mining, and financial trading.


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


S Khan

PhD Completed in 2009

W Duminy

M.Sc Completed in 2007

L Messerschmidt

M.Sc Completed

G Nel

M.Sc Completed in 2005

N Franken

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

G Potgieter

M.Sc Completed in 2003
Hons-B.Sc Completed in 2001

D van Wyk

M.IT Completed in 2003


List publications of this research focus area. [ Show ]



 Salman Khan

Portrait photo




 Swarm Intelligence
Evolutionary Computation


 Degree specific information: PhD


 Design and Analysis of Iterative Heuristics and Swarm Intelligence Techniques for Topology Design of Distributed Local Area Networks


Distributed LAN (DLAN) topology design can be classified as an NP-hard problem. Intelligent Algorithms, such as iterative heuristics and swarm intelligence techniques, are some possible approaches to address the problem and to come up with desirable solutions. DLAN topology design consists of several conflicting objectives such as minimization of cost, minimization of network delay, minimization of number of hops between two nodes, and maximization of reliability. These objectives can be combined into one objective function, and fuzzy logic seems to be the most suitable framework in such a situation. The research will explore the possibility of using a number of iterative/evolutionary heuristics as well as the use of swarm intelligence algorithms for DLAN topology design in the presence of certain constraints. Moreover, design of hybridized approaches that result from incorporating characteristics of one heuristic into the other will also be considered. Possible areas where fuzzy logic can be used in decision making will also be explored.

 Supervisor / Co-Supervisor:

 AP Engelbrecht


 Not available for download yet.

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