Evolving neural networks using a dual representation with a combined crossover operator

  title={Evolving neural networks using a dual representation with a combined crossover operator},
  author={Carlos Figueira Pujol and Riccardo PoliAbstract},
|In this paper a new approach to the evolution of neural networks is presented. A linear chromosome combined with a grid-based representation of the network, and a new crossover operator, allow the evolution of the architecture and the weights simultaneously. In our approach there is no need for a separate weight optimization procedure and networks with more than one type of activation function can be evolved. A pruning strategy is also introduced, which leads to the generation of solutions… CONTINUE READING
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