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docs/sphinx/source/applications.rst

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@@ -91,13 +91,17 @@ in the following papers (note that the below list is **actively updated**):
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* Harbin Institute of Technology + Southern University of Science and Technology + University of Technology Sydney
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* 2: Duan, Q., Zhou, G., Shao, C., Yang, Y. and Shi, Y., 2022. `Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization <https://link.springer.com/chapter/10.1007/978-3-031-14721-0_20>`_. In International Conference on Parallel Problem Solving from Nature (pp. 281-294). Springer, Cham. [**used**, this research paper entered the nomination list of the Best Paper Award on PPSN-2022]
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* Harbin Institute of Technology + Southern University of Science and Technology + University of Technology Sydney
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* Harbin Institute of Technology +
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Southern University of Science and Technology +
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University of Technology Sydney
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* **1**: Duan, Q., Zhou, G., Shao, C., Yang, Y. and Shi, Y., 2022, July.
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`Distributed Evolution Strategies for Large-Scale Optimization
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<https://dl.acm.org/doi/abs/10.1145/3520304.3528784>`_.
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In Proceedings of ACM Genetic and Evolutionary Computation Conference Companion (pp. 395-398). ACM.
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* *used* (heavily depend upon `PyPop7`)
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* https://github.com/Evolutionary-Intelligence/DES has been deleted
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since its more advanced versions are provided
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* Harbin Institute of Technology +
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Southern University of Science and Technology +
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University of Technology Sydney

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