NEAT C#
Released 2003
The SharpNEAT package contains C# source code for the NeuroEvolution of Augmenting Topologies method (see the original NEAT C++ package). It includes implementations of experiments for XOR and predator/prey. A Windows executable is included. For more information please visit Colin Green's SharpNEAT Page.

For answers to common questions about the NEAT method, refer to our NEAT Users Page .

SharpNEAT and its two experiments were written by Colin Green based on the NEAT method by Kenneth Stanley. Please direct bug reports to sharpneat@dsl.pipex.com. Please contact kstanley@cs.utexas.edu for other comments, including ideas or plans for expanding the open source software.

Versions:
v1.0 4/6/03 green

Note: Colin Green frequently updates the current release version of SharpNEAT. It is possible that a more recent version is available than the zip file below. Please refer to his SharpNEAT Page for the most recent information.

Download:
ZIP
People
Kenneth Stanley Postdoctoral Alumni kstanley [at] cs ucf edu
Publications
Neuroevolution 2022
Risto Miikkulainen, To Appear In Encyclopedia of Machine Learning and Data Science, 3rd Edition, Dinh Phung, Claude Sammut and Geoffrey I. Webb (Eds.), New York, 2022. Springer.
Neuroevolution 2015
Risto Miikkulainen, In Encyclopedia of Machine Learning, 2nd Edition, Sammut, C. and Webb, G. I. (Eds.), Berlin, 2015. Springer.
Neuroevolution 2010
Risto Miikkulainen, In Encyclopedia of Machine Learning, New York 2010. Springer.
Competitive Coevolution through Evolutionary Complexification 2004
Kenneth O. Stanley and Risto Miikkulainen, Journal of Artificial Intelligence Research, Vol. 21 (2004), pp. 63-100.
Continual Coevolution Through Complexification 2002
Kenneth O. Stanley and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002), William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and Riccardo Pol...
Efficient Evolution Of Neural Network Topologies 2002
Kenneth O. Stanley and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and Riccardo Poli and Karthik...
Efficient Reinforcement Learning Through Evolving Neural Network Topologies 2002
Kenneth O. Stanley and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002), pp. 9, San Francisco 2002. Morgan Kaufmann.
Evolving Neural Networks Through Augmenting Topologies 2002
Kenneth O. Stanley and Risto Miikkulainen, Evolutionary Computation, Vol. 10, 2 (2002), pp. 99-127.
Projects
NEAT: Evolving Increasingly Complex Neural Network Topologies 2000 - 2011
Areas of Interest
Neuroevolution
Demos
Neuroevolution of Augmenting Topologies DemosKenneth Stanley2003
Labs
Neural Networks