科研项目
[1]数据和知识驱动的多目标进化方法研究及应用,北京市教委科技一般项目,2022-2024,主持。
[2]再生资源大数据系统测评技术服务,企事业委托项目,2022-2023,主持。
[3]建设智能制造数据资源公共服务平台,工业和信息化部,2021-2023,主持。
[4]城市污水处理生化反应过程协同优化控制方法及应用研究,国家自然科学基金青年项目,2020-2022,主持。
[5]城市污水处理过程优化运行控制知识自动化系统设计方法与应用验证,国家自然科学基金重点项目,2014-2017,参与。
代表性科研成果
[1]Hou Ying*, Wu Yilin, Han Honggui. Multistate-Constrained Multiobjective Differential Evolution Algorithm With Variable Neighborhood Strategy. IEEE Transactions on Cybernetics. DOI: 10.1109/TCYB.2022.3189684.
[2]Hou Ying*, Wu Yilin, Liu Zheng, Han Honggui, Wang Pu. Dynamic Multi-objective Differential Evolution Algorithm Based on the Information of Evolution Progress. Science China-Technological Sciences, 2021, 64(8): 1676-1689.
[3] Qiao Junfei,Hou Ying*, Han Honggui. Optimal Control for Wastewater Treatment Process based on an Adaptive Multi-objective Differential Evolution Algorithm. Neural Computation andApplication,2019, 31(7): 2537-2550.
[4] Qiao Junfei,Hou Ying*, Zhang Lu, Han Honggui. Adaptive Fuzzy Neural Network Control of Wastewater Treatment Process with Multiobjective Operation. Neurocomputing, 2017(275): 383-393.
[5]侯莹*,吴毅琳,白星,韩红桂.数据驱动选择策略的多目标差分进化算法.控制与决策. DOI: 10.13195/j.kzyjc.2021.1957.
[6]侯莹*,韩红桂,乔俊飞.基于参数动态调整的多目标差分进化算法设计.控制与决策, 2017, 32(11): 1985-1990.
[7] Han Honggui, Bai Xing, Han Huayun,Hou Ying, Qiao Junfei. Self-Adjusting Multi-Task Particle Swarm Optimization. IEEE Transactions on Evolutionary Computation, DOI: 10.1109/TEVC.2021.3098523.
[8] Han Honggui, Zhang Lu,Hou Ying, Qiao Junfei. Nonlinear Model Predictive Control Based on a Self-Organizing Recurrent Neural Network. IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(2):402-415.
[9] Qiao Junfei,Hou Ying, Han Honggui. Computing System for Detecting Total Phosphorus in Effluent Using Data Driven A2/O Process. (美国发明专利US 10788473B2.授权公告日: 2020年9月29日)
[10] Qiao Junfei,Hou Ying, Han Honggui, Li Wenjing. Method to predict the effluent ammonia-nitrogen concentration based on a recurrent self-organizing neural network. (美国发明专利US 9, 633, 307.授权公告日: 2017年4月25日.)