NEAT: ANJI (Another NEAT Java Implementation)
Released 2004
The ANJI package contains Java source code for the NeuroEvolution of Augmenting Topologies method (see the original NEAT C++ package). Note that ANJI is not based direcly on Kenneth Stanley's original source code so it may differ in some respects. It includes implementations of experiments for XOR and Tic Tac Toe.

For answers to common questions, refer to our FAQ .

ANJI was written by Derek James and Philip Tucker based on descriptions of NEAT in papers published by Kenneth Stanley and Risto Miikkulainen. Please direct bug reports to Derek or Philip. Please contact kstanley@cs.utexas.edu for other comments, including ideas or plans for expanding the open source software.

Versions:
v1.0 6/9/04 james-tucker
For more information please visit
The ANJI Homepage.

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.
Projects
NEAT: Evolving Increasingly Complex Neural Network Topologies 2000 - 2011
Areas of Interest
Neuroevolution
Demos
Neuroevolution of Augmenting Topologies DemosKenneth Stanley2003
Labs
Neural Networks