I just recently began to experiment with HyperNEAT (Hypercube based Neuroevolution of Augmenting Topologies). It is a new way to evolve neural networks created by Dr. Stanley. It uses the geometry of the placement of neurons in a neural network as input into a CPPN (Compositional Pattern Producing Network) which is evolved to learn the connection weights between neurons.