Dual Network Representation Applied to the Evolution of Neural Controllers

This paperpresentsa new approachto the evolutionof neuralnetworks. 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. There is no need for a separate weight optimization procedure and networks with more than one type of activation function can be evolved. This paper describes the representation, the crossover operator, and reports on results of the application of the method to evolve a neural controller for the pole-balancing problem.

• Type: Conference
• Year: 1998
• Where: EPS
• Authors: João Carlos Figueira Pujol, Riccardo Poli
• Keywords: Artificial Intelligence, Crossover Operator, EPS 1998, Grid-based Representation, Separate Weight Optimization