Research Overview
The main research interests include evolutionary reinforcement learning, AutoML, evolutionary computation, intelligent control and their applications to robotic control, computer-aided medical diagnosis, and industrial systems.
Research Projects
1. Attack Visualization Learning Perception, Security Collaborative Regulation and Application of Industrial Internet Heterogeneous Convergence System, Key Program of the Joint Fund of the National Natural Science Foundation of China (Participant)
2. Reconstruction of Industrial Furnace Combustion Field and Optimal Control of Energy Efficiency, Key Program of the National Natural Science Foundation of China (Participant)
3. Research on Topology Balance Model and Energy Optimization Management Method for Energy-Oriented Industrial Internet, Cultivation Project of the Major Research Plan of the National Natural Science Foundation of China (Participant)
4. Research on Intelligent Data-Driven Learning and Optimization Control System for Modern Power Stations Based on Big Data, Key Project of Shanghai Municipal Science and Technology Commission (Principal Investigator)
Honors and Awards
1. Autonomous Technology and Application of Instrumentation & Control Systems for Highly Reliable New Energy Power Plants, First Prize of Science and Technology Progress Award, Chinese Society of Instrumentation, 2022
2. Key Technologies and Application of Independent Instrumentation and Control Equipment and Systems for Large PWR Nuclear Power Plants, First Prize of Shanghai Science and Technology Progress Award, 2018
3. Automatic Control System and Application for Major Power Generation Projects, First Prize of Shanghai Science and Technology Progress Award, 2011
4. Key Technologies of Network Measurement and Control System and Power Station Automation, Second Prize of Shanghai Science and Technology Progress Award, 2009
5. 2020 Outstanding Scientist and Technologist of the China Simulation Federation
6. Shanghai Outstanding Master's Degree Dissertation (2014)
7. Bronze Award of China International College Students' Innovation Competition (2025, Supervisor)
Honorary Titles
1. Shanghai Chenguang Program Scholar
Teaching Courses
1. Detection Technique Basis
2. The Application of Evolutionary Computing in Intelligent Measurement and Control Systems
3. Intelligent Optimization and AutoML
Selected Publications
1. Chen Z, Gao K, Wang H, et al. Learning-based modeling and control design for a coaxial helicopter with aerodynamic coupling[J]. Transactions of the Institute of Measurement and Control, 2025, 47(8): 1513-1520.
2. Yao, J.; Zhou, S.; Wang, L.; Zhang, X. An Improved Multi-Objective Adaptive Human Learning Optimization Algorithm and Its Application in Optimizing Formulation Schemes for Rotary Hearth Furnaces. Appl. Sci. 2025, 15, 6526.
3. Chuanliang Cheng, Chen Peng, Xiangpeng Xie, Ling Wang, An effective multi-model based nonlinear control for USC power plant, ISA Transactions, 2024, 147, 350-359.
4. Wang L, Jia Y, Huang B, et al. Continuous human learning optimization with enhanced exploitation and exploration[J]. Soft Computing, 2024, 28, 5795-5852.
5. Zhang P, Wang L, Fei Z, et al. A novel human learning optimization algorithm with Bayesian inference learning[J]. Knowledge-Based Systems, 2023, 271: 110564.
6. Cheng C, Peng C, Wang L, et al. Generalized predictive control of ultra-supercritical power plant by using a composite weighted human learning optimization network[J]. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2023, 237(3): 501-512.
7. Du J J, Wang L, Fei M, et al. A human learning optimization algorithm with competitive and cooperative learning[J]. Complex & Intelligent Systems, 2022: 1-27.
8. Zhang P, Du J, Wang L, et al. A human learning optimization algorithm with reasoning learning[J]. Applied Soft Computing, 2022: 108816.
