Citation

If you use Gradient-Free-Optimizers in your research or projects, please consider citing it.

BibTeX Entry

For academic papers and publications:

@software{gradient_free_optimizers,
    author = {Simon Blanke},
    title = {Gradient-Free-Optimizers: Simple and reliable optimization with
             local, global, population-based and sequential techniques in
             numerical search spaces},
    year = {2019},
    url = {https://github.com/SimonBlanke/Gradient-Free-Optimizers},
    version = {1.6.0}
}

Note

Update the version field to match the version you used in your work. You can check the version with:

import gradient_free_optimizers
print(gradient_free_optimizers.__version__)

Text Citation

For less formal contexts:

Blanke, S. (2019). Gradient-Free-Optimizers: Simple and reliable optimization with local, global, population-based and sequential techniques in numerical search spaces. SimonBlanke/Gradient-Free-Optimizers

Citing Specific Algorithms

If you use specific algorithms from GFO, consider also citing the original papers:

Bayesian Optimization:

@article{mockus1978bayesian,
    title={The application of Bayesian methods for seeking the extremum},
    author={Mockus, Jonas},
    journal={Towards Global Optimization},
    volume={2},
    pages={117--129},
    year={1978}
}

Tree-structured Parzen Estimator (TPE):

@inproceedings{bergstra2011algorithms,
    title={Algorithms for hyper-parameter optimization},
    author={Bergstra, James and Bardenet, R{\'e}mi and Bengio, Yoshua and K{\'e}gl, Bal{\'a}zs},
    booktitle={Advances in Neural Information Processing Systems},
    pages={2546--2554},
    year={2011}
}

Particle Swarm Optimization:

@inproceedings{kennedy1995particle,
    title={Particle swarm optimization},
    author={Kennedy, James and Eberhart, Russell},
    booktitle={Proceedings of IEEE International Conference on Neural Networks},
    volume={4},
    pages={1942--1948},
    year={1995}
}

Differential Evolution:

@article{storn1997differential,
    title={Differential evolution--a simple and efficient heuristic for global optimization over continuous spaces},
    author={Storn, Rainer and Price, Kenneth},
    journal={Journal of Global Optimization},
    volume={11},
    number={4},
    pages={341--359},
    year={1997}
}

DOI and Zenodo

For a permanent identifier, you can cite the Zenodo archive:

Note

A Zenodo DOI may be available for specific releases. Check the GitHub repository for the latest DOI badge.

Acknowledgments in Papers

If you prefer to acknowledge GFO in your paper’s acknowledgments section:

“We thank Simon Blanke for developing Gradient-Free-Optimizers, which was used for hyperparameter optimization in this work.”

Or:

“Optimization experiments were conducted using the Gradient-Free-Optimizers library (Blanke, 2019).”

Let Us Know

We’d love to hear about your work using GFO! If you publish a paper or project:

We may feature your work in future documentation or announcements.

Commercial Use

GFO is released under the MIT License and can be used freely in commercial applications without citation requirements. However, citations in technical documentation or papers are appreciated!

See License for details.