How to Cite PyPop7

Versions

If this open-source pure-Python library was used in your paper or project, it is highly welcomed but NOT mandatory to cite the following arXiv preprint paper (First Edition: 12 Dec 2022; Latest Edition: 5 Jul 2024):

Duan, Q., Zhou, G., Shao, C., and Others, 2024. PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization. arXiv preprint arXiv:2212.05652.

Now it has been submitted to JMLR, after 3-round reviews from 28 Mar 2023 to 01 Nov 2023 to 05 Jul 2024, and finally accepted in 11 Oct 2024.)

• [v1] Mon, 12 Dec 2022 (470 KB)

• [v2] Wed, 29 Mar 2023 (102 KB)

• [v3] Thu, 2 Nov 2023 (5,442 KB)

• [v4] Fri, 5 Jul 2024 (14,844 KB)

BibTeX

The BibTeX citation format for PyPop7 is given in detail below:

Note

@article{2024-JMLR-Duan, title={{PyPop7}: A {pure-Python} library for population-based black-box optimization}, author={Duan, Qiqi and Zhou, Guochen and Shao, Chang and Others}, journal={Journal of Machine Learning Research}, volume={25}, number={296}, pages={1–28}, year={2024} }