Evolving neural networks through augmenting topologies
Evolutionary Computation
A Taxonomy for artificial embryogeny
Artificial Life
Efficient evolution of neural networks through complexification
Efficient evolution of neural networks through complexification
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There is a gap between neuroevolution systems employing artificial ontogeny and those being able to solve difficult control tasks. The NEON system builds on ideas of the well known NEAT neuroevolution system to make possible a stepwise transition from a direct encoding to complex genetic architectures using developmental processes.