NEAT C++ for Microsoft Windows
Released 2002
The Windows NEAT package contains C++ source code for the NeuroEvolution of Augmenting Topologies method (see the original NEAT package above). It includes an animated demo task and a precompiled executable that runs under Windows. The included task is a minesweeper problem in which sweepers have to cover as much area as possible in a finite amount of time (see screenshot ).

For answers to common questions, refer to our FAQ .

Windows NEAT was written by Mat Buckland, based on the NEAT method by Kenneth Stanley. Please direct bug reports to fup@btinternet.com. Please contact kstanley@cs.utexas.edu for other comments, including ideas or plans for expanding the open source software.

Versions:
v1.0 9/7/02 buckland

Download:
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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.
Evolving a Roving Eye for Go 2004
Kenneth O. Stanley and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004), Berlin 2004. Springer Verlag.
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 Robotics
Demos
Neuroevolution of Augmenting Topologies DemosKenneth Stanley2003
Labs
Neural Networks