![]()
-
Haitong Zhao(研究生), Changsheng Zhang，An online-learning-based evolutionary many-objective algorithm. Information Sciences. 509: 1-21 ,2020.(通信作者，影响因子8.10，202306-至今，高被引论文).
-
Liu, Y.(研究生), Zhang, C. & Dong, X. A survey of real-time surface defect inspection methods based on deep learning. Artif Intell Rev 56, 12131–12170 (2023). https://doi.org/10.1007/s10462-023-10475-7. (通信作者，影响因子：12.0).
-
Yang An(研究生), Changsheng Zhang, Xuanyu Zheng, Knowledge reconstruction assisted evolutionary algorithm for neural network architecture search, Knowledge-Based Systems, Volume 264, 2023, 110341, https://doi.org/10.1016/j.knosys.2023.110341. (通信作者，影响因子：8.8).
-
Yang, Y(研究生)., Changsheng Zhang, A Multi-Objective Carnivorous Plant Algorithm for Solving Constrained Multi-Objective Optimization Problems, Biomimetics, (2023), 8(2), 136; https://doi.org/10.3390/biomimetics8020136(通信作者，影响因子：4.5).
-
Yuyang Bai(研究生), Changsheng Zhang, Weitong Bai, A two-level parallel decomposition-based artificial bee colony method for dynamic multi-objective optimization problems, Applied Soft Computing, Volume 147, (2023), 110741, https://doi.org/10.1016/j.asoc.2023.110741. (通信作者，影响因子：8.7).
-
Xuanyu Zheng(研究生), Changsheng Zhang, Bin Zhang, A Mayfly algorithm for cardinality constrained portfolio optimization, Expert Systems with Applications, Volume 230, (2023),120656, https://doi.org/10.1016/j.eswa.2023.120656. (通信作者，影响因子：8.5).
-
Yang, Y. (研究生), Zhang, C. & Zhang, B. A non-revisiting framework for evolutionary multi-task optimization. Applied Intelligence, 53, 25931–25953 (2023). https://doi.org/10.1007/s10489-023-04918-5. (通信作者，影响因子：5.3).
-
Chen Zhang(研究生), Changsheng Zhang, Informer Based Method for Stock Intraday Price Prediction, International Journal of Computational Intelligence and Applications. 2024.（SCI,已录用）
-
Yufei Yang(研究生), Changsheng Zhang(通信作者), Yi Liu, Jiaxu Ning, Ying Guo, Deep reinforcement learning assisted novelty search in Voronoi regions for constrained multi-objective optimization, Swarm and Evolutionary Computation, Volume 91,2024,101732, https://doi.org/10.1016/j.swevo.2024.101732.(中科院一区，影响因子8.2)
-
Haitong Zhao(研究生), Changsheng Zhang(通信作者), Bing Xue, Mengjie Zhang, Bin Zhang. A Two-Stage Differential Evolutionary Algorithm for Deep Ensemble Model Generation, IEEE Transactions on Evolutionary Computation, vol. 28, no. 3, pp. 810-824, June 2024, doi: 10.1109/TEVC.2022.3231387.(中科院一区，影响因子14.3).
-
Chen Zhang(研究生), Liming Liu, Yufei Yang, Yu Sun, Jiaxu Ning, Yu Zhang, Changsheng Zhang(通信作者), Ying Guo. An opposition-based learning-based search mechanism for flying foxes optimization algorithm. Computers, Materials & Continua, 79(3), 5201-5223,2024. https://doi.org/10.32604/cmc.2024.050863.(SCI)
-
Zheng, Xuanyu(研究生), Changsheng Zhang, Yang An, and Bin Zhang, A Metaheuristic Framework with Experience Reuse for Dynamic Multi-Objective Big Data Optimization. Applied Sciences. 2024; 14(11):4878. https://doi.org/10.3390/app14114878.(SCI)
-
Yufei Yang(研究生), Changsheng Zhang(通信作者), Bin Zhang, Jiaxu Ning, A reinforcement learning assisted evolutionary algorithm for constrained multi-task optimization, Information Sciences, 2024, 120863, https://doi.org/10.1016/j.ins.2024.120863.(中科院一区，影响因子8.1)
-
Xingjun Dong（研究生）, Changsheng Zhang（通信作者）, Junhao Wang, Yao Chen, Dawei Wang, Real-time detection of surface cracking defects for large-sized stamped parts,Computers in Industry, Volumes 159–160, 2024,104105, https://doi.org/10.1016/j.compind.2024.104105.（中科院一区，影响因子10.0）
