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.