Dr Huixiang Zhen
You can also find my publications or codes from [Google Scholar Profile] [DBLP Profile] [Research Gate] [Github]
The papers here are for faster dissemination and academic research convenience purpose only, and the copyright of the final papers belongs to the corresponding publishers!
Journal Papers
Huixiang Zhen, Bing Xue, Wenyin Gong, Mengjie Zhang and Ling Wang. "Offline evolutionary optimization with problem-driven model pool design and weighted model selection indicator," in Swarm and Evolutionary Computation, 2025, Accept. [code]
Fei Ming, Bing Xue, Mengjie Zhang, Wenyin Gong and Huixiang Zhen. "Constrained Multi-objective Optimization via Relaxations on Both Constraints and Objectives," in IEEE Transactions on Artificial Intelligence, 2024, https://doi.org/10.1109/TAI.2024.3454025.
Fei Ming, Wenyin Gong, Huixiang Zhen, Ling Wang and Liang Gao. "Constrained multi-objective optimization evolutionary algorithm for real-world continuous mechanical design problems," in Engineering Applications of Artificial Intelligence, 2024, https://doi.org/10.1016/j.engappai.2024.108673.
Kuihua Huang, Huixiang Zhen, Wenyin Gong, Rui Wang and Weiwei Bian. "Surrogate-assisted evolutionary sampling particle swarm optimization for high-dimensional expensive optimization," in Neural Computing and Applications, 2023, https://doi.org/10.1007/s00521-023-08661-3. [code]
Huixiang Zhen, Shijie Xiong, Wenyin Gong and Ling Wang. "Neighborhood Evolutionary Sampling with Dynamic Repulsion for Expensive Multimodal Optimization," in Information Sciences, 2023, https://doi.org/10.1016/j.ins.2023.02.049. [code]
Junhua Ku, Huixiang Zhen*, Wenyin Gong. "Offline data-driven optimization based on dual-scale surrogate ensemble," in Memetic Computing, 2022, https://doi.org/10.1007/s12293-022-00380-x.
Huixiang Zhen, Wenyin Gong and Ling Wang, "Evolutionary Sampling Agent for Expensive Problems," in IEEE Transactions on Evolutionary Computation, 2022, doi: 10.1109/TEVC.2022.3177605. [code]
Huixiang Zhen, Wenyin Gong and Ling Wang, "Offline data-driven evolutionary optimization based on model selection," in Swarm and Evolutionary Computation, 2022, 71: 101080. doi: 10.1016/j.swevo.2022.101080. [code]
Fangzhou Yu, Wenyin Gong, and Huixiang Zhen, "A data-driven evolutionary algorithm with multi-evolutionary sampling strategy for expensive optimization," in Knowledge-Based Systems, 2022: 108436. doi: 10.1016/j.knosys.2022.108436.
Huixiang Zhen, Wenyin Gong, Ling Wang, Fei Ming, and Zuowen Liao, "Two-Stage Data-Driven Evolutionary Optimization for High-Dimensional Expensive Problems," in IEEE Transactions on Cybernetics, 2021. doi: 10.1109/TCYB.2021.3118783. [code]
Huixiang Zhen, Wenyin Gong, and Ling Wang, "Data-driven evolutionary sampling optimization for expensive problems," in Journal of Systems Engineering and Electronics, vol. 32, no. 2, pp. 318-330, April 2021. doi: 10.23919/JSEE.2021.000027. [code]
Fei Ming, Wenyin Gong, Huixiang Zhen, Ling Wang, and Zuowen Liao, "A simple two-stage evolutionary algorithm for constrained multi-objective optimization," in Knowledge-Based Systems, 2021, 228: 107263. doi: 10.1016/j.knosys.2021.107263.
Huixiang Zhen, Yuanyuan Li, and Yushan Yang, "Transformation from total-field magnetic anomaly to the projection of the anomalous vector onto the normal geomagnetic field based on an optimization method," in Geophysics, 2019, 84(5): J43-J55. doi: 10.1190/geo2018-0671.1.
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