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Artificial Immune Models (AIS) leverage biological metaphors from the immune system to distinguish between normal and anomalous data, utilizing concepts like clonal selection and negative selection for tasks such as anomaly detection and optimization. They are significant in computational intelligence due to their dynamic adaptation, robustness, and ability to detect threats without prior examples. However, challenges such as computational complexity, defining self vs. non-self, and the need for parameter t

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ghadgep961

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