Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0003-3551-5672
Google Scholar Profile: TQu92D8AAAAJ
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Dive into the research topics where Guochen ZHOU is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations from the last five years
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Research output
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PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
Duan, Q., Zhou, G., Shao, C., Wang, Z., Feng, M., Huang, Y., Tan, Y., Yang, Y., Zhao, Q. & Shi, Y., Oct 2024, In: Journal of Machine Learning Research. 25, 296.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile7 Link opens in a new tab Citations (Scopus)5 Downloads (CityUHK Scholars) -
Cooperative coevolution for non-separable large-scale black-box optimization: Convergence analyses and distributed accelerations
Duan, Q. (Co-first Author), Shao, C. (Co-first Author), Zhou, G., Yang, H., Zhao, Q. & Shi, Y., Nov 2024, In: Applied Soft Computing. 166, 112232.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
5 Link opens in a new tab Citations (Scopus) -
Distributed Evolution Strategies With Multi-Level Learning for Large-Scale Black-Box Optimization
Duan, Q., Shao, C., Zhou, G., Zhang, M., Zhao, Q. & Shi, Y., Nov 2024, In: IEEE Transactions on Parallel and Distributed Systems. 35, 11, p. 2087-2101 15 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
7 Link opens in a new tab Citations (Scopus) -
Distributed evolution strategies for large-scale optimization
Duan, Q., Zhou, G., Shao, C., Yang, Y. & Shi, Y., 19 Jul 2022, GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. J. E. F. (ed.). Association for Computing Machinery, p. 395-398 4 p.Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access3 Link opens in a new tab Citations (Scopus) -
Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization
Duan, Q., Zhou, G., Shao, C., Yang, Y. & Shi, Y., 2022, Parallel Problem Solving from Nature – PPSN XVII: 17th International Conference, PPSN 2022, Proceedings. Rudolph, G., Kononova, A. V., Aguirre, H., Kerschke, P., Ochoa, G. & Tušar, T. (eds.). Springer, Cham, p. 281-294 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13399 LNCS).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
4 Link opens in a new tab Citations (Scopus)