Title: Algoritmo Genético Celular Para Otimização De Redes Neurais Multilayer Perceptron
Authors: Silva, Anderson Paulo da; Ludermir, Teresa Bernarda
Abstract: This paper presents an optimization method of artificial neural networks (ANNs) using a cellular genetic algorithm (CGA). The main difference of this method compared with a common genetic algorithm (GA) is the use of a cellular automaton (AC) to provide location of GA chromosomes. The use of this method is based on de CGA interesting results found in the literature and in fact has not been found in the literature studied, the application of CGA in ANNs Multilayer Perceptron.
Keywords: Cellular Genetic Algorithm; Artificial Neural Networks; Genetic Algorithm
Paper as PDF: st_36.4.pdf
BibTex file: st_36.4.bib