Mr. LI Zhenhua (李振華)
Research Output
- 2022
- Published
Cooperative Coevolution with Knowledge-based Dynamic Variable Decomposition for Bilevel Multiobjective Optimization
Cai, X., Sun, Q., Li, Z., Xiao, Y., Mei, Y., Zhang, Q. & Li, X., Dec 2022, In: IEEE Transactions on Evolutionary Computation. 26, 6, p. 1553-1565Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Scopus citations: 3 - 2020
- Published
Evolution strategies for continuous optimization: A survey of the state-of-the-art
Li, Z., Lin, X., Zhang, Q. & Liu, H., Aug 2020, In: Swarm and Evolutionary Computation. 56, 100694.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Scopus citations: 33 - Published
Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization
Li, Z., Zhang, Q., Lin, X. & Zhen, H., May 2020, In: IEEE Transactions on Cybernetics. 50, 5, p. 2073-2083Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Scopus citations: 29 - 2019
- Published
Pareto Multi-Task Learning
Lin, X., Zhen, H., Li, Z., Zhang, Q. & Kwong, S., Dec 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). Wallach, H., Larochelle, H., Beygelzimer, A., d'Alché-Buc, F., Fox, E. & Garnett, R. (eds.). 11 p. (Advances in Neural Information Processing Systems; vol. 32).Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Scopus citations: 69 - 2018
- Published
A Simple Yet Efficient Evolution Strategy for Large-Scale Black-Box Optimization
Li, Z. & Zhang, Q., Oct 2018, In: IEEE Transactions on Evolutionary Computation. 22, 5, p. 637-646Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Scopus citations: 35 - 2017
- Published
An efficient rank-1 update for Cholesky CMA-ES using auxiliary evolution path
Li, Z. & Zhang, Q., 8 Jun 2017, 2017 IEEE Congress on Evolutionary Computation (CEC) : Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 913-920 7969406Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Scopus citations: 11 - 2016
- Published
What does the evolution path learn in CMA-ES?
Li, Z. & Zhang, Q., 2016, Parallel Problem Solving from Nature: 14th International Conference, PPSN 2016, Proceedings. Hart, E., Paechter, B., Handl, J., López-Ibáñez, M., Lewis, P. R. & Ochoa, G. (eds.). Springer Verlag, Vol. 9921 LNCS. p. 751-760 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9921 LNCS).Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Scopus citations: 4
