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NeuroEvolution by Augmented Topologies

Neuro-Evolution of Augmenting Topologies (NEAT) is a genetic algorithm for evolving neural networks written by Ken Stanley at University of Texas at Austin and published under the GPL; it integrates with Guile, a GNU common lisp interpreter.

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Genetic Algorithm | Genetic Algorithms

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This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "NeuroEvolution by Augmented Topologies".

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