Multi-objective evolutionary algorithm based optimization of neural network ensemble classifier

The purpose of this paper is to investigate a Multi-Objective Evolutionary Algorithm (MOEA) for optimizing neural ensemble classifiers. This paper provides an automatic procedure based on MOEA to identify the best accuracy and diversity. A MOEA is used to search for the combination of layers and clusters in ensemble classifiers to obtain the non-dominated… CONTINUE READING