Optimal Parameter for the Training of MultilayerPerceptron Neural Networks by Using Hierarchical GeneticAlgorithm

摘要

This paper deals with the controversial topic of the selection of the parameters of a genetic algorithm, in thiscase hierarchical, used for training of multilayer perceptron neural networks for the binary classification. The parametersto select are the crossover and mutation probabilities of the control and parametric genes and the permanency percent.The results can be considered as a guide for using this kind of algorithm.