Neuroevolution of Augmenting Topologies Demos (2003)
Author: Kenneth Stanley
NEAT Demo Page

The NEAT Demo Page contains several examples of complex, interesting behaviors evolved using Neuroevolution of Augmenting Topologies (NEAT).
Kenneth Stanley Postdoctoral Alumni kstanley [at] cs ucf edu
Risto Miikkulainen Faculty risto [at] cs utexas edu
IJCNN-2013 Tutorial on Evolution of Neural Networks 2013
Risto Miikkulainen, To Appear In unpublished. Tutorial slides..
Coevolution of Neural Networks using a Layered Pareto Archive 2006
German A. Monroy, Kenneth O. Stanley, Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 329-336, Seattle, Washington, July 2006. New York, NY: ACM Press.
Competitive Coevolution through Evolutionary Complexification 2004
Kenneth O. Stanley and Risto Miikkulainen, Journal of Artificial Intelligence Research, Vol. 21 (2004), pp. 63-100.
Evolving Neural Networks Through Augmenting Topologies 2002
Kenneth O. Stanley and Risto Miikkulainen, Evolutionary Computation, Vol. 10, 2 (2002), pp. 99-127.
NEAT C# The SharpNEAT package contains C# source code for the NeuroEvolution of Augmenting Topologies method (see the original <... 2003

NEAT C++ for Microsoft Windows The Windows NEAT package contains C++ source code for the NeuroEvolution of Augmenting Topologies method (see the origin... 2002

NEAT C++ The NEAT package contains source code implementing the NeuroEvolution of Augmenting Topologies method. The source code i... 2010

NEAT Delphi The Delphi NEAT package contains Delphi source code for the NeuroEvolution of Augmenting Topologies method (see the orig... 2003

NEAT Java (JNEAT) The JNEAT package contains Java source code for the NeuroEvolution of Augmenting Topologies method (see the original 2002

NEAT Matlab The Matlab NEAT package contains Matlab source code for the NeuroEvolution of Augmenting Topologies method (see the orig... 2003

NEAT: ANJI (Another NEAT Java Implementation) The ANJI package contains Java source code for the NeuroEvolution of Augmenting Topologies method (see the original 2004