Wei-Neng Chen (S’07-M’12-SM’17) received the bachelor’s and Ph.D. degrees in computer science from Sun Yat-sen University, Guangzhou, China, in 2006 and 2012, respectively. Since 2016, he has been a Full Professor with the School of Computer Science and Engineering, South China University of Technology, Guangzhou. He has co-authored over 100 international journal and conference papers, including more than 70 papers published in the IEEE Transactions journals. His current research interests include computational intelligence, swarm intelligence, network science, and their applications.
Dr. Chen was a recipient of the IEEE Computational Intelligence Society (CIS) Outstanding Dissertation Award in 2016, and the National Science Fund for Excellent Young Scholars in 2016. He was also a Principle Investigator (PI) of the National Science and Technology Innovation 2030 -- the Next Generation Artificial Intelligence Key Project. He is currently the Vice-Chair of the IEEE Guangzhou Section, and the Chair of IEEE SMC Society Guangzhou Chapter. He is also a Committee Member of the IEEE CIS Emerging Topics Task Force. He serves as an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, and the Complex & Intelligent Systems.
1 Evolutionary optimization:includes distributed evolutionary computation (DEC) and data-driven evolutionary optimization (DDEO).
1.1 Distributed evolutionary computation (DEC)
Guo, Xiao-Qi, Feng-Feng Wei, Jun Zhang, and Wei-Neng Chen (陈伟能,通讯作者), "A Classifier-Ensemble-Based Surrogate-Assisted Evolutionary Algorithm for Distributed Data-Driven Optimization," in IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2024.3361000.
Zhao, Bowen, Wei-Neng Chen (陈伟能,通讯作者), Xiaoguo Li, Ximeng Liu, Qingqi Pei, and Jun Zhang, "When Evolutionary Computation Meets Privacy," in IEEE Computational Intelligence Magazine, vol. 19, no. 1, pp. 66-74, Feb. 2024, doi: 10.1109/MCI.2023.3327892.
Chen, Tai-You, Wei-Neng Chen (陈伟能,通讯作者), Xiao-Qi Guo, Yue-Jiao Gong, and Jun Zhang., "A Multiagent Co-Evolutionary Algorithm With Penalty-Based Objective for Network-Based Distributed Optimization," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2024.3380389.
Chen, Tai-You, Wei-Neng Chen (陈伟能,通讯作者), Feng-Feng Wei, Xiao-Min Hu, and Jun Zhang, "Multi-Agent Swarm Optimization With Adaptive Internal and External Learning for Complex Consensus-Based Distributed Optimization," in IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2024.3380436.
Zhao, Bowen, Wei-Neng Chen (陈伟能,通讯作者), Feng-Feng Wei, Ximeng Liu, Qingqi Pei, and Jun Zhang, "PEGA: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization," in IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2023.3346863.
Xiao-Qi Guo, Wei-Neng Chen (陈伟能,通讯作者), Feng-Feng Wei, Wen-Tao Mao, Xiao-Min Hu, Jun Zhang, "Edge–Cloud Co-Evolutionary Algorithms for Distributed Data-Driven Optimization Problems," in IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2022.3219452.
Bowen Zhao, Ximeng Liu, An Song, Wei-Neng Chen (陈伟能,通讯作者), Kuei-Kuei Lai, Jun Zhang, Robert H Deng, "PriMPSO: A Privacy-Preserving Multiagent Particle Swarm Optimization Algorithm," in IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2022.3224169.
Qiang Yang, Wei-Neng Chen (陈伟能,通讯作者), Tianlong Gu, Huaxiang Zhang, Huaqiang Yuan, Sam Kwong and Jun Zhang, “A Distributed Swarm Optimizer with Adaptive Communication for Large Scale Optimization”, IEEE Transactions on Cybernetics, vol. 50, no. 7, pp. 3393-3408, July 2020, doi: 10.1109/TCYB.2019.2904543.
Wei-Neng Chen (陈伟能), Ya-hui Jia, Feng Zhao, Xiao-Nan Luo, Xing-Dong Jia, and Jun Zhang, “A Cooperative Co-evolutionary Approach to Large-Scale Multisource Water Distribution Network Optimization”, IEEE Transactions on Evolutionary Computation, vol. 23, no. 5, pp. 842-857, 2019.
Ya-Hui Jia, Wei-Neng Chen (陈伟能,通讯作者), Tianlong Gu, Huaxiang Zhang, Hua-Qiang Yuan, Sam Kwong , and Jun Zhang (通讯作者), “Distributed Cooperative Co-Evolution With Adaptive Computing Resource Allocation for Large Scale Optimization”, IEEE Transactions on Evolutionary Computation, vol. 23, no. 2, pp. 188-202, 2019.
Chen, Wei-Neng, Feng-Feng Wei, Tian-Fang Zhao, Kay Chen Tan, and Jun Zhang. A Survey on Distributed Evolutionary Computation[J]. arXiv preprint arXiv:2304.05811, 2023.
Wei, Feng-Feng, Wei-Neng Chen, Xiao-Qi Guo, Bowen Zhao, Sang-Woon Jeon, and Jun Zhang. CEC: Crowdsourcing-based Evolutionary Computation for Distributed Optimization[J]. arXiv preprint arXiv:2304.05817, 2023.
1.2 Data-driven evolutionary optimization (DDEO)
Feng-Feng Wei, Wei-Neng Chen (陈伟能,通讯作者), Wen-Tao Mao, Xiao-Min Hu and Jun Zhang, "An Efficient Two-Stage Surrogate-Assisted Differential Evolution for Expensive Inequality Constrained Optimization," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2023.3299434.
Feng-Feng Wei, Wei-Neng Chen (陈伟能,通讯作者), Jun Zhang, “A Hybrid Regressor and Classifier-Assisted Evolutionary Algorithm for Expensive Optimization With Incomplete Constraint Information" in IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023.
Feng-Feng Wei, Wei-Neng Chen (陈伟能,通讯作者), Qing Li, Sang-Woon Jeon, Jun Zhang, "Distributed and Expensive Evolutionary Constrained Optimization with On-Demand Evaluation," in IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC.2022.3177936.
Feng-Feng Wei, Wei-Neng Chen (陈伟能,通讯作者), Qiang Yang, Jeremiah Deng, Xiao-Nan Luo, Hun Jin, Jun Zhang "A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization," in IEEE Transactions on Evolutionary Computation, vol. 25, no. 2, pp. 219-233, April 2021, doi: 10.1109/TEVC.2020.3017865.
魏凤凤, 陈伟能. 自适应约束评估的代理模型辅助演化算法[J]. Journal of Frontiers of Computer Science & Technology, 2023, 17(6).
2 Evolutionary learning: includes genetic programing (GP) and evolutionary reinforcement learning (ERL)
Xiao-Cheng Liao, Wei-Neng Chen (陈伟能,通讯作者), Ya-Hui Jia and Wen-Jin Qiu, "Towards Scalable Dynamic Traffic Assignment With Streaming Agents: A Decentralized Control Approach Using Genetic Programming," in IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2023.3296671.
Xiao-Cheng Liao, Ya-Hui Jia, Xiao-Min Hu, Wei-Neng Chen (陈伟能,通讯作者), “Uncertain Commuters Assignment Through Genetic Programming Hyper-Heuristic” in IEEE Transactions on Computational Social Systems, 2023.
Chen, Xiang-Ling, Xiao-Cheng Liao, and Wei-Neng Chen (陈伟能,通讯作者). "Heuristic Navigation Model Based on Genetic Programming for Multi-UAV Power Inspection Problem with Charging Stations." 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2023.
Wu, X., Zhu, Q., Lin, Q., Chen, W., & Li, J. (2024, May). Adaptive Evolutionary Reinforcement Learning Algorithm with Early Termination Strategy. In Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (pp. 1947-1955).
C. -J. Fan, Y. -H. Jia and W. -N. Chen, "Automated Order Dispatching Strategies Design Using Genetic Programming for Dynamic Ridesharing Problem," 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Honolulu, Oahu, HI, USA, 2023, pp. 348-355.
J. Dong, J. Zhong, W. -N. Chen and J. Zhang, "An Efficient Federated Genetic Programming Framework for Symbolic Regression," in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 7, no. 3, pp. 858-871, June 2023.
3 Applications: includes social networks, traffic assignment, workflow scheduling, etc.
3.1 Social networks
Gu, Ming, Tian-Fang Zhao, Liang Yang, Xiao-Kun Wu, and Wei-Neng Chen (陈伟能,通讯作者), "Modeling Information Cocoons in Networked Populations: Insights From Backgrounds and Preferences," in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2024.3354508.
Shi, Xuan-Li, Wei-Neng Chen (陈伟能,通讯作者), Jing-Hui Zhong, and Jun Zhang, "A Max–Min Ant System With Repetitive Influence Reduction Strategy for Interactive Dissemination of Positive and Negative Information," in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2023.3328994.
Xuan-Li Shi, Feng-Feng Wei, Wei-Neng Chen (陈伟能,通讯作者). A swarm-optimizer-assisted simulation and prediction model for emerging infectious diseases based on SEIR.Complex Intell. Syst.(2022). https://doi.org/10.1007/s40747-022-00908-1.
Tian-Fang Zhao, Wei-Neng Chen (陈伟能,通讯作者), Xin-Xin Ma, Xiao-Kun Wu. Evolutionary Computation in Social Propagation over Complex Networks: A Survey. International Journal of Automation and Computing, vol. 18, no. 4, pp.503-520, 2021. https://doi.org/10.1007/s11633-021-1302-3.
Xiao Kun Wu, Tian-Fang Zhao, Wei-Neng Chen (陈伟能,通讯作者) and Jun Zhang, "Toward Predicting Active Participants in Tweet Streams: A case study on Two Civil Rights Events," in IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 6, pp. 2975-2987, 1 June 2022, doi: 10.1109/TKDE.2020.3017635.
Tian-fang Zhao, Wei-Neng Chen (陈伟能,通讯作者), Alan Wee-Chung Liew, Tianlong Gu, Xiao-Kun Wu and Jun Zhang, “A Binary Particle Swarm Optimizer with Priority Planning and Hierarchical Learning for Networked Epidemic Control”, IEEE Transactions on Systems, Men and Cybernetics: Systems, vol. 51, no. 8, pp. 5090-5104, Aug. 2021, doi: 10.1109/TSMC.2019.2945055.
Tian-Fang Zhao, Wei-Neng Chen (陈伟能,通讯作者), Sam Kwong, Tian-Long Gu, Hua-Qaing Yuan, Jie Zhang and Jun Zhang, "Evolutionary Divide-and-Conquer Algorithm for Virus Spreading Control Over Networks," IEEE Transactions on Cybernetics, vol. 51, no. 7, pp. 3752-3766, July 2021, doi: 10.1109/TCYB.2020.2975530.
Wei-Neng Chen (陈伟能), Da-Zhao Tan, Qiang Yang, Tianlong Gu and Jun Zhang., “Ant Colony Optimization for the Control of Pollutant Spreading on Social Networks”, IEEE Transactions on Cybernetics, vol. 50, no. 9, pp. 4053-4065, Sept. 2020, doi: 10.1109/TCYB.2019.2922266.
Xuyun Wen, Wei-Neng Chen (陈伟能,通讯作者), Ying Lin, Tianlong Gu, Huaxiang Zhang, Yun Li, Yilong Yin, and Jun Zhang (通讯作者), “A Maximal Clique Based Multiobjective Evolutionary Algorithm for Overlapping Community Detection,” IEEE Transactions on Evolutionary Computation, vol. 21, no. 3, pp. 363-377, 2017.
3.2 Traffic assignment
Xiao-Cheng Liao, Wei-Neng Chen (陈伟能,通讯作者), Xiao-Qi Guo, et al. Crowd Management Through Optimal Layout of Fences: An Ant Colony Approach Based on Crowd Simulation[J]. IEEE Transactions on Intelligent Transportation Systems, 2023.
Zhi-Xuan Zhang, Wei-Neng Chen (陈伟能,通讯作者), Wen Shi, Sang-Woon Jeon, and Jun Zhang. "An Individual Evolutionary Game Model Guided by Global Evolutionary Optimization for Vehicle Energy Station Distribution." IEEE Transactions on Computational Social Systems (2023).
Zhi-Min Huang, Wei-Neng Chen (陈伟能,通讯作者), Qing Li, Xiao-Nan Luo, Hua-Qiang Yuan, Jun Zhang, "Ant Colony Evacuation Planner: An Ant Colony System With Incremental Flow Assignment for Multipath Crowd Evacuation," in IEEE Transactions on Cybernetics, vol. 51, no. 11, pp. 5559-5572, Nov. 2021, doi: 10.1109/TCYB.2020.3013271.
Xue Yu, Wei-Neng Chen (陈伟能,通讯作者), Xiao-Min Hu, Tianlong Gu, Huaqiang Yuan, Yuren Zhou and Jun Zhang., “Path Planning in Multiple-AUV systems for Difficult Target Traveling Missions: A Hybrid Metaheuristic Approach”, IEEE Transactions on Cognitive and Developmental Systems, vol. 12, no. 3, pp. 561-574, Sept. 2020, doi: 10.1109/TCDS.2019.2944945.
Xue Yu, Wei-Neng Chen (陈伟能,通讯作者), Tianlong Gu, Huaqiang Yuan, Huaxiang Zhang, and Jun Zhang (通讯作者), “ACO-A*: Ant Colony Optimization Plus A* for 3D Traveling in Environments with Dense Obstacles”, IEEE Transactions on Evolutionary Computation, vol. 23, no. 4, pp. 617-631, 2019.
3.3 Workflow scheduling
An Song, Wei-Neng Chen (陈伟能,通讯作者), Xiao-Nan Luo, Zhi-Hui Zhan and Jun Zhang, "Scheduling Workflows with Composite Tasks: A Nested Particle Swarm Optimization Approach," in IEEE Transactions on Services Computing, vol. 15, no. 2, pp. 1074-1088, 1 March-April 2022, doi: 10.1109/TSC.2020.2975774.
Zhi-Xuan Zhang, Wei-Neng Chen (陈伟能,通讯作者), Hu Jin, Jun Zhang, "A Preference Biobjective Evolutionary Algorithm for the Payment Scheduling Negotiation Problem," in IEEE Transactions on Cybernetics, vol. 51, no. 12, pp. 6105-6118, Dec. 2021, doi: 10.1109/TCYB.2020.2966492.
Ya-Hui Jia, Wei-Neng Chen (陈伟能,通讯作者), Huaqiang Yuan, Tianlong Gu, Huaxiang Zhang, Ying Gao, and Jun Zhang (通讯作者), “An Intelligent Cloud Workflow Scheduling System with Time Estimation and Adaptive Ant Colony Optimization”, IEEE Transactions on Systems, Men and Cybernetics: Systems, vol. 51, no. 1, pp. 634-649, Jan. 2021, doi: 10.1109/TSMC.2018.2881018.
Wei-Neng Chen (陈伟能) and Jun Zhang, “Ant Colony Optimization for Software Project Scheduling and Staffing with an Event-Based Scheduler”, IEEE Transactions on Software Engineering, vol. 39, no. 1, pp. 1-17, 2013.
Wei-Neng Chen (陈伟能), Jun Zhang, Henry Shu-Hung Chung, Rui-Zhang Huang and Ou Liu, “Optimizing Discounted Cash Flows in Project Scheduling - An Ant Colony Optimization Approach,” IEEE Transactions on System, Man, and Cybernetics, Part C, vol. 40, no. 1, pp. 64-77, 2010.
Wei-Neng Chen (陈伟能) and Jun Zhang, “An ant colony optimization approach to a Grid workflow scheduling problem with various QoS requirements”, IEEE Transactions on System, Man, and Cybernetics, Part C, vol. 39, no. 1, pp. 29-43, 2009.
Wei-Neng Chen (陈伟能), and Jun Zhang, “Scheduling Multi-mode Projects under Uncertainty to Optimize Cash flows: a Monte Carlo Ant Colony System Approach,” Journal of Computer Science and Technology, vol. 27, no. 5, pp. 950-965, 2012.
3.4 Others
Wen Shi, Wei-Neng Chen (陈伟能,通讯作者), Sam Kwong, Jie Zhang, Hua Wang, Tianlong Gu, Huaqiang Yuan and Jun Zhang, "A Coevolutionary Estimation of Distribution Algorithm for Group Insurance Portfolio," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2021.3096013.
Wen Shi, Wei-Neng Chen (陈伟能,通讯作者), Tianlong Gu, Hu Jin and Jun Zhang, "Handling Uncertainty in Financial Decision Making: A Clustering Estimation of Distribution Algorithm With Simplified Simulation," in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 5, no. 1, pp. 42-56, Feb. 2021, doi: 10.1109/TETCI.2020.3013652.
Wen Shi, Wei-neng Chen (陈伟能,通讯作者), Ying Lin, Tianlong Gu, Sam Kwong, and Jun Zhang (通讯作者), “An Adaptive Estimation of Distribution Algorithm for Multi-Policy Insurance Investment Planning”, IEEE Transactions on Evolutionary Computation, vol. 23, no. 1, pp. 1-14, 2019.
An Song, Wei-Neng Chen (陈伟能,通讯作者), Tianlong Gu, Huaqiang Yuan, Sam Kwong, and Jun Zhang (通讯作者), “Distributed Virtual Network Embedding System with Historical Archives and Set-based Particle Swarm Optimization”, IEEE Transactions on Systems, Men and Cybernetics: Systems, vol. 51, no. 2, pp. 927-942, 2021.
An Song, Wei-Neng Chen (陈伟能,通讯作者), Yue-Jiao Gong, Xiaonan Luo and Jun Zhang, “A Divide-and-conquer Evolutionary Algorithm for Large-scale Virtual Network Embedding”, IEEE Transactions on Evolutionary Computation, vol. 24, no. 3, pp. 566-580, June 2020, doi: 10.1109/TEVC.2019.2941824.
An Song, Wei-Neng Chen (陈伟能,通讯作者), Tianlong Gu, Huaxiang Zhang and Jun Zhang, "A Constructive Particle Swarm Optimizer for Virtual Network Embedding," IEEE Transactions on Network Science and Engineering, vol. 7, no. 3, pp. 1406-1420, 1 July-Sept. 2020, doi: 10.1109/TNSE.2019.2932781.