A Taxonomy for Artificial Embryogeny

@article{Stanley2003ATF,
  title={A Taxonomy for Artificial Embryogeny},
  author={Kenneth O. Stanley and Risto Miikkulainen},
  journal={Artificial Life},
  year={2003},
  volume={9},
  pages={93-130}
}
A major challenge for evolutionary computation is to evolve phenotypes such as neural networks, sensory systems, or motor controllers at the same level of complexity as found in biological organisms. In order to meet this challenge, many researchers are proposing indirect encodings, that is, evolutionary mechanisms where the same genes are used multiple times in the process of building a phenotype. Such gene reuse allows compact representations of very complex phenotypes. Development is a… 

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