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CyberAgentAILab / cmaes

Python library for CMA Evolution Strategy.
https://arxiv.org/abs/2402.01373
MIT License
359 stars 62 forks source link

Reference or paper to cite #156

Closed edwinb-ai closed 7 months ago

edwinb-ai commented 10 months ago

Thank you to the developers for a nice implementation of the CMA-ES optimizer.

I have used your implementation in a project, and want to acknowledge it. What is the best way to reference your implementation? Is there a paper that could be cited?

nomuramasahir0 commented 9 months ago

Thank you for using it. We don't have a specific paper right now, so we would be happy if you could provide the link https://github.com/CyberAgentAILab/cmaes in your paper. However, We may publish a paper of this software around February next year, so we will tell you again at that time.

nomuramasahir0 commented 7 months ago

Hi @edwinb-ai

Our paper is now available on arXiv:

Masahiro Nomura, Masashi Shibata. cmaes : A Simple yet Practical Python Library for CMA-ES https://arxiv.org/abs/2402.01373

Bibtex:

@article{nomura2024cmaes,
  title={cmaes : A Simple yet Practical Python Library for CMA-ES},
  author={Nomura, Masahiro and Shibata, Masashi},
  journal={arXiv preprint arXiv:2402.01373},
  year={2024}
}

We are happy if you find this paper useful. Thank you.

edwinb-ai commented 7 months ago

Thank you for the great work you do!