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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

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

ALUMNI MEMBERS

L Schoeman

PhD Completed in 2010

J Grobler

PhD Started in 2009
M.Eng Completed in 2009

C Naicker

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

R Brits

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

GROUP PUBLICATIONS

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MEMBER PROFILE



 Name:

 Riaan Brits

Portrait photo

 E-mail:

 riaan@raptorinternational.com

 Group(s):

 Swarm Intelligence
 Optimization

 

 Degree specific information: M.Sc

 Title:

 Niching Particle Swarm Optimizers

 Abstract:

This research extends the inherent unimodal nature of particle swarm optimizers to efficiently locate multiple optimal solutions in multimodal problems. New algorithms, based on topological neighborhoods and subswarms, inspired by genetic algorithm research in niching and speciation, are used to form multiple, stable niches.

 Supervisor / Co-Supervisor:

 AP Engelbrecht
 F vd Bergh

 Thesis:

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