NEAT Delphi
Released 2003
The Delphi NEAT package contains Delphi source code for the NeuroEvolution of Augmenting Topologies method (see the original NEAT C++ package). It includes implementations of experiments for XOR, pole balancing, artificial ant, obstacle avoidance, and symbolic regression. Windows executables are included with animated demos for each experiment. For more information and screenshots of Delphi NEAT, please visit Mattias Fagerlund's Delphi NEAT Page.

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

Delphi NEAT and its five included experiments were written by Mattias Fagerlund based on the NEAT method by Kenneth Stanley. Please direct bug reports to mattias@cambrianlabs.com. Please contact kstanley@cs.utexas.edu for other comments, including ideas or plans for expanding the open source software.

Versions:
v1.0 12/23/03 fagerlund

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Kenneth Stanley Postdoctoral Alumni kstanley [at] cs ucf edu
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.
Evolving Neural Networks Through Augmenting Topologies 2002
Kenneth O. Stanley and Risto Miikkulainen, Evolutionary Computation, Vol. 10, 2 (2002), pp. 99-127.