Theory-laden design of mutation-based Geometric Semantic Genetic Programming for learning classification trees

Andrea Mambrini, Luca Manzoni, Alberto Moraglio. Theory-laden design of mutation-based Geometric Semantic Genetic Programming for learning classification trees. In Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2013, Cancun, Mexico, June 20-23, 2013. pages 416-423, IEEE, 2013. [doi]

@inproceedings{MambriniMM13,
  title = {Theory-laden design of mutation-based Geometric Semantic Genetic Programming for learning classification trees},
  author = {Andrea Mambrini and Luca Manzoni and Alberto Moraglio},
  year = {2013},
  doi = {10.1109/CEC.2013.6557599},
  url = {http://dx.doi.org/10.1109/CEC.2013.6557599},
  researchr = {https://researchr.org/publication/MambriniMM13},
  cites = {0},
  citedby = {0},
  pages = {416-423},
  booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2013, Cancun, Mexico, June 20-23, 2013},
  publisher = {IEEE},
  isbn = {978-1-4799-0453-2},
}