Evolution of neural networks using Cartesian Genetic Programming
Maryam Mahsal Khan, Gul Muhammad Khan, Julian Francis Miller · 2010
A novel Neuroevolutionary technique based on Cartesian Genetic Programming is proposed (CGPANN). ANNs are encoded and evolved using a representation adapted from the CGP. We have tested the new approach on the single pole balancing problem. Results show that CGPANN evolves solutions faster and of higher quality than the most powerful algorithms of Neuroevolution in the literature.