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Digital Library of the
European Council for Modelling and Simulation |
Title: |
A Review Of Methods For Encoding Neural Network Topologies In
Evolutionary Computation |
Authors: |
Jozef Fekiač, Ivan Zelinka,
Juan C. Burguillo |
Published in: |
(2011).ECMS
2011 Proceedings edited by: T. Burczynski, J. Kolodziej, A. Byrski, M. Carvalho. European Council for Modeling and Simulation. doi:10.7148/2011 ISBN:
978-0-9564944-2-9 25th
European Conference on Modelling and Simulation, Jubilee Conference Krakow,
June 7-10, 2011
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Citation
format: |
Fekiac, J., Zelinka,
I., & Burguillo, J. C. (2011). A Review Of
Methods For Encoding Neural Network Topologies In Evolutionary Computation.
ECMS 2011 Proceedings edited by: T. Burczynski, J. Kolodziej, A. Byrski, M. Carvalho (pp. 410-416).
European Council for Modeling and Simulation. doi:10.7148/2011-0410-0416 |
DOI: |
http://dx.doi.org/10.7148/2011-0410-0416 |
Abstract: |
This paper describes various
methods used to encode artificial neural networks to chromosomes to be used
in evolutionary computation. The target of this review is to cover the main
techniques of network encoding and make it easier to choose one when
implementing a custom evolutionary algorithm for finding the network
topology. Most of the encoding methods are mentioned in the context of neural
networks; however all of them could be generalized to automata networks or
even oriented graphs. We present direct and indirect encoding methods, and
given examples of their genotypes. We also describe the possibilities of
applying genetic operators of mutation and crossover to genotypes encoded by
these methods. Also, the dependencies of using special evolutionary
algorithms with some of the encodings were considered. |
Full
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