科研成果
[1] Jing Jie, Dai Rui, Hui Zheng*, et al. Adaptive Surrogate-based Swarm Intelligence Algorithm and Its Application in Wastewater Treatment Processes[J]. International Journal of Bio-Inspired Computation, 2022 (SCI). [2] Rui Dai, Hui zheng*, Jing Jie, et al. Automatic Particle Swarm Optimizer Based on Reinforcement Learning, BIC-TA2021. [3] Rui Dai, Jing Jie, Hui Zheng*, et al. Framework and Experimental Analysis of Generalized Surrogate-Assisted Particle Swarm Optimization[J]. International Journal of Computing Science and Mathematics,2021. [4] Jing Jie, Kairui Liu, Hui Zheng*, et al. High dimensional feature data reduction of multichannel sEMG for gesture recognition based on double phases PSO[J].Complex & Intelligent Systems (2021) 7:1877–1893 (SCI) [5] Lu Lu, Hui Zheng*, Jing Jie, et al. Reinforcement Learning Based Particle Swarm Optimization for Sewage Treatment Control[J].Complex & Intelligent Systems (2021) 7: 2199–2210 (SCI) [6]郑慧，介婧等，基于强化学习粒子群算法的污水处理优化控制方法，发明专利，2021. [7]戈萧，郑慧*. 基于插值参考点的多目标路径规划方法研究[J]. 浙江科技学院，2020，32（6）：1-8. [8] Jing Jie, Lei Zhang, Hui Zheng*, et al. Interactive Swarm Intelligence Algorithm Based on Master-Slave Gaussian Surrogate Model. ICIC 2018. [9] Jing Jie*, Jing Zhang, Hui Zheng, et al. Formalized model and analysis of mixed swarm based cooperative particle swarm optimization[J]. Neurocomputing, 2016, 174: 542-552.(SCI) [10] Hui Zheng*, Jing Jie, Xiaoli Wu. Chaotic particle swarm optimization for fitting magnetic spin parameters of transition metal complexes[J]. International Journal of Computing Science and Mathematics, 2014, 5(2): 165-173. [11] Hui Zheng, Jing Jie*, et al. Multi-swarm chaotic particle swarm optimization for protein folding[J]. Journal of Bionanoscience, 2013, 7(6): 643-648.
