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docs/sphinx/source/design-philosophy.rst

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@@ -168,6 +168,9 @@ intelligence (SI), and metaheuristics communities, please refer to the following
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<https://jmlr.csail.mit.edu/papers/volume8/sonnenburg07a/sonnenburg07a.pdf>`_. Journal of Machine Learning Research,
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8, pp.2443-2466.
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For benchmarking, please refer to e.g., `BBSR - Benchmarking, Benchmarks, Software, and Reproducibility in ACM GECCO 2025
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<https://gecco-2025.sigevo.org/Tracks#BBSR%20-%20Benchmarking,%20Benchmarks,%20Software,%20and%20Reproducibility>`_.
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Finally, we expect to see more interesting discussions about the **beauty** of BBO from different perspectives. For any
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**new/missed** BBO, we provide a *unified* API interface to help freely add them if they satisfy the above design
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philosophy well. See the `development guide <https://pypop.readthedocs.io/en/latest/development-guide.html>`_ for details.

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