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@@ -701,13 +701,14 @@ JCYJ20200109141235597 (2,000,000 Yuan).
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If this open-source Python library is used in your paper or project,
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it is highly welcomed *but NOT mandatory* to cite the following
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arXiv [preprint](https://arxiv.org/abs/2212.05652) paper: **Duan, Q.,
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Zhou, G., Shao, C., Wang, Z., Feng, M., Huang, Y., Tan, Y., Yang, Y.,
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Zhao, Q. and Shi, Y., 2024. PyPop7: A Pure-Python Library for
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Population-Based Black-Box Optimization. arXiv preprint
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arXiv:2212.05652.** (Now it has been submitted to
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[JMLR](https://jmlr.org/), after 3-round reviews from 28 Mar 2023 to
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01 Nov 2023 to 05 Jul 2024, and finally accepted in 11 Oct 2024.)
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arXiv [preprint](https://arxiv.org/abs/2212.05652) paper (First
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Edition: 12 Dec 2022): **Duan, Q., Zhou, G., Shao, C., Wang, Z.,
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Feng, M., Huang, Y., Tan, Y., Yang, Y., Zhao, Q. and Shi, Y., 2024.
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PyPop7: A Pure-Python Library for Population-Based Black-Box
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Optimization. arXiv preprint arXiv:2212.05652.** (Now it has been
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submitted to [JMLR](https://jmlr.org/), after 3-round reviews from
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28 Mar 2023 to 01 Nov 2023 to 05 Jul 2024, and finally accepted in
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11 Oct 2024.)
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### 2025
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