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.
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