dcgp: Differentiable Cartesian Genetic Programming made easy.

Submitted 21 May 2020Published 16 July 2020
Review

Editor: @VivianePons (all papers)
Reviewers: @Ohjeah (all reviews), @shah314 (all reviews)

Authors

Dario Izzo (0000-0002-9846-8423), Francesco Biscani

Citation

Izzo et al., (2020). dcgp: Differentiable Cartesian Genetic Programming made easy.. Journal of Open Source Software, 5(51), 2290, https://doi.org/10.21105/joss.02290

@article{Izzo2020, doi = {10.21105/joss.02290}, url = {https://doi.org/10.21105/joss.02290}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {51}, pages = {2290}, author = {Dario Izzo and Francesco Biscani}, title = {dcgp: Differentiable Cartesian Genetic Programming made easy.}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Python genetic programming cartesian genetic programming symblic regression neural networks

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066