Evolving neural networks that are both modular and regular: HyperNEAT plus the connection cost technique. Huizinga, J., Clune, J., & Mouret, J. In Proceedings of Genetic and Evolutionary Computation Conference (GECCO), pages 697-704, 2014.
Evolving neural networks that are both modular and regular: HyperNEAT plus the connection cost technique [link]Paper  bibtex   
@inproceedings{ dblp2078140,
  title = {Evolving neural networks that are both modular and regular: HyperNEAT plus the connection cost technique},
  author = {Joost Huizinga and Jeff Clune and Jean-Baptiste Mouret},
  author_short = {Huizinga, J. and Clune, J. and Mouret, J.},
  bibtype = {inproceedings},
  type = {inproceedings},
  year = {2014},
  key = {dblp2078140},
  id = {dblp2078140},
  biburl = {http://www.dblp.org/rec/bibtex/conf/gecco/HuizingaCM14},
  url = {http://doi.acm.org/10.1145/2576768.2598232},
  conference = {GECCO},
  pages = {697-704},
  text = {GECCO 2014:697-704},
  booktitle = {Proceedings of Genetic and Evolutionary Computation Conference (GECCO)}
}

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