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An Encoding Scheme for Cooperative Coevolutionary Feedforward Neural Networks

  • Rohitash Chandra
  • Marcus Frean
  • Mengjie Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6464)

Abstract

The cooperative coevolution paradigm decomposes a large problem into a set of subcomponents and solves them independently in order to collectively solve the large problem. This work introduces a novel encoding scheme for building subcomponents based on functional properties of a neuron. The encoding scheme is used for training feedforward neural networks. The results show that the proposed encoding scheme achieves better performance when compared to its previous counterparts.

Keywords

Feedforward neural networks cooperative coevolution evolutionary algorithms 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Rohitash Chandra
    • 1
    • 2
  • Marcus Frean
    • 1
  • Mengjie Zhang
    • 1
  1. 1.School of Engineering and Computing ScienceVictoria Universty of WellingtonWellingtonNew Zealand
  2. 2.Department of Computing Science and Information SystemsFiji National UniversitySuvaFiji

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