Title : ( Cooperative coevolution of random connections for neural networks )
Authors: Ali Karsaz , Mohammad Reza Akbarzadeh Totonchi ,
Full TextAbstract
This paper presents a new algorithm for cooperative co-evolution of random connections (Co-Co-RC) among neurons in a neural network (NN). Search for an optimal NN is decomposed into search for its two subcomponents, i.e. a connection matrix (C) and a weight matrix (W). Each subsystem is evolved by two separate genetic algorithms and through special evolutionary operations. Optimum connection matrix is obtained by considering a minimum number of neurons in which any neuron may have a connection with any neuron of any layer. The Mackey-Glass chaotic time series is used as a benchmark to test the performance of the proposed evolutionary strategy. Statistical ttest analysis reveals the significant improvement of the method as compared with previous co-co strategies as well as standard back-propagation
Keywords
, cooperative co-evolution, neural network (NN)
@inproceedings{paperid:1106075,
author = {Ali Karsaz, and Akbarzadeh Totonchi, Mohammad Reza},
title = {Cooperative coevolution of random connections for neural networks},
booktitle = {First International Conference on Modeling, Simulation and Applied Optimization},
year = {2005},
location = {IRAN},
keywords = {cooperative co-evolution; neural
network (NN)},
}
%0 Conference Proceedings
%T Cooperative coevolution of random connections for neural networks
%A Ali Karsaz,
%A Akbarzadeh Totonchi, Mohammad Reza
%J First International Conference on Modeling, Simulation and Applied Optimization
%D 2005
