Otimizacao de Redes Neurais atraves de Algoritmos Geneticos Celulares

• URL: http://arxiv.org/abs/2107.08326v1
• Date: Sun, 18 Jul 2021 00:10:15 GMT
• Title: Otimizacao de Redes Neurais atraves de Algoritmos Geneticos Celulares
• Authors: Anderson da Silva, Teresa Ludermir
• Abstract summary: The goal of this methodology is to find compact networks whit good performance for classification problems. The use of CGAs aims at seeking the components of the RNA in the same way that a common Genetic Algorithm (GA) The location imposed by the CA aims to control the spread of solutions in the populations to maintain the genetic diversity for longer time.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This works proposes a methodology to searching for automatically Artificial Neural Networks (ANN) by using Cellular Genetic Algorithm (CGA). The goal of this methodology is to find compact networks whit good performance for classification problems. The main reason for developing this work is centered at the difficulties of configuring compact ANNs with good performance rating. The use of CGAs aims at seeking the components of the RNA in the same way that a common Genetic Algorithm (GA), but it has the differential of incorporating a Cellular Automaton (CA) to give location for the GA individuals. The location imposed by the CA aims to control the spread of solutions in the populations to maintain the genetic diversity for longer time. This genetic diversity is important for obtain good results with the GAs.

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