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陳偉能，華南理工大學(xué)計(jì)算機(jī)科學(xué)與工程學(xué)院教授,，博士生導(dǎo)師,、副院長。
主要研究方向是群體智能,、進(jìn)化計(jì)算及其應(yīng)用,，已發(fā)表國際期刊和國際會(huì)議論文200余篇，其中IEEE Transactions長文70余篇,；牽頭主持國家科技創(chuàng)新2030——“新一代人工智能”重大項(xiàng)目,，國家自然科學(xué)基金企業(yè)創(chuàng)新聯(lián)合基金重點(diǎn)支持項(xiàng)目、國家重點(diǎn)研發(fā)計(jì)劃國際合作交流項(xiàng)目,、國家自然科學(xué)基金-英國皇家學(xué)會(huì)牛頓基金項(xiàng)目等,，任大數(shù)據(jù)與計(jì)算智能粵港聯(lián)合創(chuàng)新平臺(tái)負(fù)責(zé)人。2016年獲國家優(yōu)秀青年科學(xué)基金資助,，2015年獲廣東省杰出青年科學(xué)基金資助,；2018年獲霍英東青年教師獎(jiǎng)。現(xiàn)任IEEE廣州分會(huì)副主席,、IEEE SMC廣州分支主席,、中國計(jì)算機(jī)學(xué)會(huì)協(xié)同計(jì)算專業(yè)委員會(huì)常務(wù)委員、人工智能與模式識(shí)別專業(yè)委員會(huì)委員,、任國際期刊IEEE Transactions on Neural Networks and Learning Systems及Complex & Intelligent Systems副編輯,。
演化計(jì)算
群體智能
演化學(xué)習(xí)
智能優(yōu)化應(yīng)用（智慧交通、物聯(lián)等）
IEEE廣州分會(huì)副主席、IEEE SMC廣州分支主席
中國計(jì)算機(jī)學(xué)會(huì)人工智能與模式識(shí)別專業(yè)委員會(huì)（CCFAI）委員,、CCFAI演化計(jì)算學(xué)組副主任
中國計(jì)算機(jī)學(xué)會(huì)協(xié)同計(jì)算專業(yè)委員會(huì)（CCF TCCC）常務(wù)委員
IEEE Transactions on Neural Networks and Learning Systems副編輯
Complex and Intelligent Systems副編輯
發(fā)表IEEE Trans.期刊長文70余篇,，主要工作包括：
[1] Xiao-Cheng Liao, Wei-neng Chen (陳偉能，通訊作者), Xiao-Qi Guo, Jing-Hui Zhong and Xiao-Min Hu, “Crowd Management Through Optimal Layout of Fences: An Ant Colony Approach Based on Crowd Simulation”,， IEEE Transactions on Intelligent Transportation Systems, accepted in 2023, in press.
[2] Xiao-Cheng Liao, Ya-Hui Jia, Xiao-Min Hu, and Wei-neng Chen (陳偉能,，通訊作者), et al., “Uncertain Commuters Assignment Through Genetic Programming Hyper-Heuristic”, IEEE Transactions on Computational Social Systems, accepted in 2023, in press.
[3] Feng-Feng Wei, Wei-neng Chen (陳偉能，通訊作者) and Jun Zhang, “A Hybrid Regressor and Classifier-Assisted Evolutionary Algorithm for Expensive Optimization With Incomplete Constraint Information”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, accepted in 2023, in press.
[4] Zhi-Xuan Zhang, Wei-neng Chen (陳偉能,，通訊作者), Wen Shi, SW 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, accepted in 2023, in press.
[5] Bowen Zhao, Ximeng Liu, An Song, Wei-neng Chen (陳偉能,，通訊作者), KK Lai, Jun Zhang and Robert Deng, “PriMPSO: A Privacy-Preserving Multiagent Particle Swarm Optimization Algorithm”, IEEE Transactions on Cybernetics, accepted in 2023, in press.
[6] Xiao-Qi Guo, Wei-neng Chen (陳偉能，通訊作者), Feng-Feng Wei, Wentao Mao, Xiao-Min Hu and Jun Zhang, “Edge–Cloud Co-Evolutionary Algorithms for Distributed Data-Driven Optimization Problems”, IEEE Transactions on Cybernetics, accepted in 2023, in press.
[7] Feng-feng Wei, Wei-neng Chen (陳偉能,，通訊作者), Qing Li, SW Jeon and Jun Zhang, “Distributed and Expensive Evolutionary Constrained Optimization with On-Demand Evaluation”, IEEE Transactions on Evolutionary Computation, vol. 27, no. 3, pp. 671-685, 2023.
[8] Wen Shi, Wei-neng Chen (陳偉能,，通訊作者), et al., “A Coevolutionary Estimation of Distribution Algorithm for Group Insurance Portfolio”，IEEE Transactions on Systems, Men and Cybernetics: Systems, in press, 2022.
[9] Xiaokun Wu, Tianfang Zhao, Wei-neng Chen (陳偉能,，通訊作者), et al., “Toward Predicting Active Participants in Tweet Streams: A case study on Two Civil Rights Events”, IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 6, pp. 2975 - 2987, 2022.
[10] An Song, Wei-neng Chen (陳偉能,，通訊作者), Xiao-Nan Luo, Zhi-Hui Zhan and Jun Zhang, "Scheduling Workflows with Composite Tasks: A Nested Particle Swarm Optimization Approach," IEEE Transactions on Services Computing, vol. 15, no. 2, pp. 1074 – 1088, 2022.
[11] Feng-Feng Wei, Wei-neng Chen (陳偉能，通訊作者), Qiang Yang, J. Da Deng, Xiao-Nan Luo, Hu Jin, et al., “A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization” IEEE Transactions on Evolutionary Computation, vol. 25, no. 2, pp. 219-233, 2021.
[12] Zhi-Min Huang, Wei-Neng Chen (Corresponding Author), et al., “An Ant Colony System with Incremental Flow Assignment for Multi-Path Crowd Evacuation”, IEEE Transactions on Cybernetics, vol. 51, no. 11, pp. 5559 - 5572, 2021.
[13] Wen Shi, Wei-neng Chen (陳偉能,，通訊作者), et al., “Handling Uncertainty in Financial Decision Making: a Clustering Estimation of Distribution Algorithm with Simplified Simulation”, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 5, no. 1, pp. 42-56, 2021.
[14] Tian-Fang Zhao, Wei-neng Chen (陳偉能,，通訊作者), 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, 2021.
[15] Zhi-Xuan Zhang, Wei-neng Chen (陳偉能，通訊作者), Hu Jin and Jun Zhang, “A Preference Bi-Objective Evolutionary Algorithm for the Payment Scheduling Negotiation Problem”, IEEE Transactions on Cybernetics, vol. 51, no. 12, pp. 6105 – 6118, 2021.
[16] Tian-fang Zhao, Wei-neng Chen (陳偉能,，通訊作者), et al., “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, 2021.
[17] An Song, Wei-neng Chen (陳偉能,，通訊作者), Tianlong Gu, Huaqiang Yuan, Sam Kwong, and Jun Zhang, “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.
[18] Wei-neng Chen (陳偉能，通訊作者), Da-Zhao Tan, et al., “Ant Colony Optimization for the Control of Pollutant Spreading on Social Networks”, IEEE Transactions on Cybernetics, vol. 50, no. 9, pp. 4053 – 4065, 2020.
[19] An Song, Wei-neng Chen (陳偉能,，通訊作者), et al., “A Divide-and-conquer Evolutionary Algorithm for Large-scale Virtual Network Embedding”, IEEE Transactions on Evolutionary Computation, vol. 24, no. 3, pp. 566-580, 2020.
[20] Xue Yu, Wei-neng Chen (陳偉能,，通訊作者), et al., “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, 2020.
[21] Q. Yang, Wei-neng Chen (陳偉能，通訊作者), T. Gu, H, Zhang, H, Yuan, S. Kwong and J. Zhang, “A Distributed Swarm Optimizer with Adaptive Communication for Large Scale Optimization”, IEEE Trans. on Cybernetics, vol. 50, no. 7, pp. 3393 – 3408, 2020.
[22] Wei-neng Chen (陳偉能,，通訊作者), 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, 2019.
[23] Xue Yu, Wei-neng Chen (陳偉能,，通訊作者), Tianlong Gu, Huaqiang Yuan, Huaxiang Zhang, and Jun Zhang, “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.
[24] Ya-Hui Jia, Wei-neng Chen (陳偉能，通訊作者), Tianlong Gu, Huaxiang Zhang, Hua-Qiang Yuan, Sam Kwong , and Jun Zhang, “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.
[25] Wen Shi, Wei-neng Chen (陳偉能,，通訊作者), Ying Lin, Tianlong Gu, Sam Kwong, and Jun Zhang, “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.
[26] Ya-Hui Jia, Wei-neng Chen (陳偉能,，通訊作者), Huaqiang Yuan, Tianlong Gu, Huaxiang Zhang, Ying Gao, and Jun Zhang, “An Intelligent Cloud Workflow Scheduling System with Time Estimation and Adaptive Ant Colony Optimization”, IEEE Transactions on Systems, Men and Cybernetics: Systems, in press, 2018.
[27] Xuyun Wen, Wei-neng Chen (陳偉能，通訊作者), Ying Lin, Tianlong Gu, Huaxiang Zhang, Yun Li, Yilong Yin, and Jun Zhang#, “A Maximal Clique Based Multiobjective Evolutionary Algorithm for Overlapping Community Detection,” IEEE Transactions on Evolutionary Computation, vol. 21, no. 3, pp. 363-377, 2017
[28] Qiang Yang, Wei-neng Chen (陳偉能,，通訊作者), Jeremiah Da Deng, Yun Li, Tianlong Gu ; Jun Zhang, “A Level-based Learning Swarm Optimizer for Large Scale Optimization”, IEEE Transactions on Evolutionary Computation, vol. 22, no. 4, pp. 578-594, 2018.
[29] Qiang Yang, Wei-neng Chen (陳偉能,，通訊作者), Zhengtao Yu, Tianlong Gu, Yun Li, Huaxiang Zhang and Jun Zhang#, “Adaptive Multimodal Continuous Ant Colony Optimization,” IEEE Transactions on Evolutionary Computation, vol. 21, no. 2, pp. 191-205, 2017.
[30] Qunfeng Liu, Wei-neng Chen (陳偉能，通訊作者), Jeremiah D. Deng, Tianlong Gu, Huaxiang Zhang, Zhengtao Yu, and Jun Zhang#, “Benchmarking Stochastic Algorithms for Global Optimization Problems by Visualizing Confidence Intervals”, IEEE Transactions on Cybernetics, vol. 47, no. 9, pp. 2924-2937, 2017
[31] Ya-hui Jia, Wei-neng Chen (陳偉能,，通訊作者), Tianlong Gu, Huaxiang Zhang, Huaqiang Yuan, Ying Lin, Wei-Jie Yu and Jun Zhang#, “A Dynamic Logistic Dispatching System With Set-Based Particle Swarm Optimization”, IEEE Transactions on Systems, Men and Cybernetics: Systems, vol. 48, no. 9, pp. 1607-1621, 2018.
[32] Xue Yu, Wei-neng Chen (陳偉能,，通訊作者), Tianlong Gu, Huaxiang Zhang, Huaqiang Yuan, Sam Kwong, Fellow, IEEE, and Jun Zhang#, "Set-Based Discrete Particle Swarm Optimization Based on Decomposition for Permutation-Based Multiobjective Combinatorial Optimization Problems", IEEE Trans. on Cybernetics, vol. 48, no. 7, pp. 2139-2153, 2018.
[33] Qiang Yang, Wei-neng Chen (陳偉能，通訊作者), Tianlong Gu, Huaxiang Zhang, Jeremiah D. Deng , Yun Li and Jun Zhang#, “Segment-Based Predominant Learning Swarm Optimizer for Large-Scale Optimization,” IEEE Transactions on Cybernetics, vol. 47, no. 9, pp. 2896-2910, 2017
[34] Qiang Yang, Wei-neng Chen (陳偉能,，通訊作者), Yun Li, Philip Chen, Xiang-Min Xu and Jun Zhang, “Multimodal Estimation of Distribution Algorithms,” IEEE Trans. on Cybernetics, vol. 47, no. 3, pp. 636-650, 2017.
[35] Ni Chen, Wei-neng Chen (陳偉能,，通訊作者), Yue-jiao Gong, Zhi-hui Zhan, Jun Zhang, Yun Li and Yu-song Tan, “An Evolutionary Algorithm with Double-Level Archives for Multi-Objective Optimization,” IEEE Trans. on Cybernetics, vol. 45, no. 9, pp. 1851-1863, Spet. 2015.
[36] Wei-neng Chen (陳偉能) Jun Zhang, Ying Lin, Ni Chen, Zhi-hui Zhan, H.S.H. Chung, Yun Li and Yu-hui Shi, “Particle Swarm Optimization with an Aging Leader and Challengers”, IEEE Tran. on Evolutionary Computation, vol. 17, no. 2, pp. 241-258, 2013. 【ESI高被引論文】
[37] Wei-neng Chen (陳偉能) 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.
[38] M. Shen, Wei-neng Chen (陳偉能,，通訊作者), et. al, “Optimal Selection of Parameters for Non-uniform Embedding of Chaotic Time Series Using Ant Colony Optimization”, IEEE Transactions on Cybernetics, vol.43, no.2, pp. 790 - 802, 2013.
[39] Wei-neng Chen (陳偉能), Jun Zhang, H.S.H. Chung, Wen-Liang Zhong, Wei-Gang Wu and Yu-hui Shi, “A novel set-based particle swarm optimization method for discrete optimization problem,” IEEE Transactions on Evolutionary Computation, vol. 14, no. 2, pp. 278-300, 2010.
[40] Wei-neng Chen (陳偉能), Jun Zhang, H.S.H. 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.
[41] Wei-neng Chen (陳偉能) 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.
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廣州市番禺區(qū)大學(xué)城外環(huán)東路382號(hào)華南理工大學(xué)B3
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