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CIRG - Research  -  Optimization 



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OVERVIEW

One of the major application areas of our research is in optimization. Algorithms from the difference Computational Intelligence paradigms are developed to solve different classes of optimization problems, including unconstrained, constrained, and multi-objective optimization problems, all in static or dynamic environments. Algorithms are also developed to find multiple solutions to optimization problems and to track these solutions in dynamic environments.

ACTIVE MEMBERS

M Mohiuddin

PhD Started in 2011

R Mshimirimana

PhD Started in 2010

M Ballot

M.Sc Started in 2009

J Grobler

PhD Started in 2009
M.Eng Completed in 2009

W Matthysen

M.Sc Started in 2008
Hons-B.Sc Completed in 2007

L Langenhoven

M.Sc Started in 2008
Hons-B.Sc Completed in 2006

J Duhain

M.Sc Started in 2007

M Greeff

PhD Started in 2007

K Malan

PhD Started in 2007

MC du Plessis

PhD Started in 2006

G Pampara

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

ALUMNI MEMBERS

List alumni of this research focus area. [ Show ]

GROUP PUBLICATIONS

List publications of this research focus area. [ Show ]

MEMBER PROFILE



 Name:

 Gary Pampara

Portrait photo

 E-mail:

 gpampara@webmail.co.za

 Group(s):

 Swarm Intelligence
Evolutionary Computation
Optimization

 

 Degree specific information: M.Sc

 Title:

 Analysis of Binary Particle Swarm Optimisation

 Abstract:

Not available

 Supervisor / Co-Supervisor:

 AP Engelbrecht
 N Franken

 Thesis:

 Not available for download yet.

 

 Degree specific information: Hons-B.Sc

 Title:

 Generic Framework for Ant Colony Algorithms

 Abstract:

To create a generic framework for the needed Ant Colony optimistaion algorithms to be implemented and included with in the CILIB development library. The optimisation problems addressed will be based on optimistations of swarms in aspects of foraging for food, Clustering, Organistaion of Cemeteries / Brooding areas. Problems addressed will be based on Traveling sales men-like problems, Telecommunications and Routing pathway discovery.

 Supervisor / Co-Supervisor:

 AP Engelbrecht

 Thesis:

 Not available for download yet.




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