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 Risto Miikkulainen In Encyclopedia of Machine Learning, New York, 2010. Springer. 2010

Competitive Coevolution through Evolutionary Complexification Kenneth O. Stanley and Risto Miikkulainen Journal of Artificial Intelligence Research, 21:63-100, 2004. 2004

Evolving a Roving Eye for Go Kenneth O. Stanley and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004), Berlin, 2... 2004

Evolving Neural Networks Through Augmenting Topologies Kenneth O. Stanley and Risto Miikkulainen Evolutionary Computation, 10(2):99-127, 2002. 2002