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CIRG - Research  -  Artificial Immune Systems 



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OVERVIEW

This research focus area develops new training methods for artificial immune systems. Genetic algorithms and particle swarm optimization techniques are used to optimize the creation of artificial lymphocytes. Approaches are also investigated to optimize the training process of existing learning algorithms. Network-based immune algorithms to cluster of non-stationary data are developed.

ACTIVE MEMBERS

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ALUMNI MEMBERS

M Poggiolini

M.Sc Completed in 2009

A Graaff

PhD Started in 2005
M.Sc Completed in 2003

GROUP PUBLICATIONS

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