NEAT in HyperNEAT Substituted with Genetic Programming

@inproceedings{Buk2009NEATIH,
  title={NEAT in HyperNEAT Substituted with Genetic Programming},
  author={Zdenek Buk and Jan Koutn{\'i}k and Miroslav Snorek},
  booktitle={ICANNGA},
  year={2009}
}
In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm with our implementation, in which we replaced the underlying NEAT with genetic programming. The algorithm was named HyperGP. The evolved neural networks were used as controllers of autonomous mobile agents (robots) in simulation. The agents were trained to drive with maximum average speed. This forces them to learn how… CONTINUE READING
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