Paul Kaufmann, Roman Kalkreuth. Parametrizing Cartesian Genetic Programming: An Empirical Study. In Gabriele Kern-Isberner, Johannes Fürnkranz, Matthias Thimm, editors, KI 2017: Advances in Artificial Intelligence - 40th Annual German Conference on AI, Dortmund, Germany, September 25-29, 2017, Proceedings. Volume 10505 of Lecture Notes in Computer Science, pages 316-322, Springer, 2017. [doi]
@inproceedings{KaufmannK17-1, title = {Parametrizing Cartesian Genetic Programming: An Empirical Study}, author = {Paul Kaufmann and Roman Kalkreuth}, year = {2017}, doi = {10.1007/978-3-319-67190-1_26}, url = {https://doi.org/10.1007/978-3-319-67190-1_26}, researchr = {https://researchr.org/publication/KaufmannK17-1}, cites = {0}, citedby = {0}, pages = {316-322}, booktitle = {KI 2017: Advances in Artificial Intelligence - 40th Annual German Conference on AI, Dortmund, Germany, September 25-29, 2017, Proceedings}, editor = {Gabriele Kern-Isberner and Johannes Fürnkranz and Matthias Thimm}, volume = {10505}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, isbn = {978-3-319-67190-1}, }