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Lecture Notes in Computer Science
In this work we present an application of the Confidence Interval Based Crossover using L2 Norm (CIXL2) and BLX-α crossovers to the evolution of neural networks. CIXL2 is a new crossover operator, based on obtaining the statistical features of the best individuals of the population. These features are used as virtual parents for the crossover operator. Due to the permutation problem of neural network coding that negatively affects the crossover operator, we have adopted a novel approach.doi:10.1007/3-540-44868-3_66 fatcat:t3se6t7zlvhbzik5rofhxn2k6q