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A Comparison of Immune and Genetic Algorithms for Two Real-Life Tasks of Pattern Recognition
Alexander O. Tarakanov and Yuri A. Tarakanov

This paper compares a new Immunocomputing (IC) approach with Genetic Algorithms (GAs). We compare an IC algorithm of pattern recognition with a basic GA. The comparison includes supervised learning over two real-life tasks of environmental monitoring and laser physics.

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