教师主页移动版

更新日期：2020年10月8日 姓 名 陈伟能 性 别 男 出生年月 1983年11月 籍贯 民 族 政治面貌 最后学历 最后学位 技术职称 教授 导师类别 博、硕导 行政职务 Email cschenwn@scut.edu.cn 工作单位 计算机科学与工程学院 邮政编码 通讯地址 单位电话 个人简介 陈伟能，华南理工大学计算机科学与工程学院教授，博士生导师、副院长，大数据与计算智能粤港联合创新平台负责人。主要研究方向是演化计算、群体智能、运筹优化等，已发表国际期刊和国际会议论文100余篇，其中IEEE Transactions长文50篇。2017年获国家优秀青年科学基金资助，2015年获广东省杰出青年科学基金资助；2018年获霍英东青年教师奖，2016年获IEEE CIS（计算智能学会）杰出博士学位论文奖（全球评选1篇），2012年度中国计算机学会（CCF）优秀博士学位论文奖。现任IEEE广州分会副主席，中国计算机学会人工智能与模式识别专业委员会委员，IEEE Transactions on Neural Networks and Learning Systems及Complex and Intelligent Systems副编辑，主持国家自然科学基金等国家、省部级科研项目8项，是科技部重点领域（机器智能）创新团队的核心成员。 工作经历 2012.7-2016.1  中山大学计算机科学系   讲师、副教授2015.9             英国格拉斯哥大学         Newton Fund访问学者2016.2-今         华南理工大学计算机科学与工程学院    教授2018.7-今         华南理工大学计算机科学与工程学院    副院长 教育经历 2006.9-2012.6   中山大学计算机应用技术专业   博士（硕博连读）2002.9-2006.6   中山大学网络工程专业   本科 获奖、荣誉称号  2018 第十六届霍英东青年教师二等奖 2016 国家优秀青年科学基金获得者 2016 IEEE CIS（计算智能学会）杰出博士学位论文奖（全球唯一） 2015 入选首批“广东特支计划”科技创新青年拔尖人才 2015 广东省杰出青年科学基金获得者 2014 入选广州市珠江科技新星 2013 广东省优秀博士学位论文 2012 中国计算机学会(CCF)优秀博士学位论文奖 2011 第20届全国发明展览会金奖 社会、学会及学术兼职  IEEE高级会员、CCF高级会员 IEEE广州分会主席 中国计算机学会人工智能与模式识别专委会委员 IEEE Transactions on Neural Network and Learning Systems (TNNLS，1区刊物)等2本国际期刊的副编（Associate Editor） 2个国际学术会议程序委员会主席 研究领域 演化计算与群体智能分布式计算智能运筹优化云计算与大数据社会网络挖掘与优化 科研项目  科技创新2030“新一代人工智能”重大项目，“群智涌现机理与演化计算方法”，No. 2018AAA0101304，2019.10-2022.9，895万，项目主持人 国家自然科学基金面上项目，“动态环境下基于概率分布的进化算法及其在物流调度中的应用研究”，No. 61976093，61万，2020.1-2023.12，项目主持人 国家优秀青年科学基金项目，“群体智能算法与应用”，No. 61622206，130万，2017.1-2019.12，项目主持人 国家自然科学基金面上项目，“云计算多工作流调度的动态分布式粒子群优化方法研究”，81万，2014.1—2017.12（在研），No.61379061，项目主持人 国家自然科学基金-英国皇家学会合作交流项目，“动态分布式粒子群优化方法研究”，2015.4-2017.3, No. 61511130078，项目主持人        广东省科技厅粤港联合创新平台项目，“大数据与计算智能粤港联合创新平台”，2018.9-2021.9，平台负责人 广东省杰出青年科学基金项目， “大规模群体智能计算方法研究”，2015.6-2019.5，100万, No. 2015A030306024，项目主持人 “广东特支计划”科技创新青年人才项目，No. 2014TQ01X550, 2015-2017, 30万，项目主持人 发表论文 发表论文100余篇，其中IEEE Transactions长文40余篇，提出的算法被写入Springer出版的《Modern Optimization with R》教科书，先后被Colbourn（组合数学最高终生成就奖获得者）、Napiórkowski（国际水文全球杰出青年科学家）等知名教授应用于软件测试和河流温度预测等领域。[1] 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," IEEE Transactions on Services Computing, in press, 2020.[2] 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, in press, 2020.[3] Zhi-Xuan Zhang, Wei-Neng Chen (陈伟能，通讯作者), Hu Jin and Jun Zhang, “A Preference Bi-Objective Evolutionary Algorithm for the Payment Scheduling Negotiation Problem”, IEEE Transactions on Cybernetics, in press, 2020. [4] 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, in press, 2019.[5] 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, in press, 2019.[6] 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, in press, 2019.[7] 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, in press, 2019.[8] 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, in press, 2019.[9] An Song, Wei-Neng Chen (陈伟能，通讯作者), 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, in press, 2019.[10] 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, in press, 2019.[11] Ya-Hui Jia, Wei-Neng Chen (陈伟能，通讯作者), 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, 2019.[12] 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.[13] Xue Yu, Wei-Neng Chen (陈伟能，通讯作者), 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.[14] 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, “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.[15] Wen Shi, Wei-neng Chen (陈伟能，通讯作者), 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.[16] Qiang Yang, Wei-Neng Chen (陈伟能，通讯作者), 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.[17] Ya-hui Jia, Wei-Neng Chen (陈伟能，通讯作者), 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.[18] Xue Yu, Wei-Neng Chen (陈伟能，通讯作者)), Tianlong Gu, Huaxiang Zhang, Huaqiang Yuan, Sam Kwong, and Jun Zhang, "Set-Based Discrete Particle Swarm Optimization Based on Decomposition for Permutation-Based Multiobjective Combinatorial Optimization Problems", IEEE Transactions on Cybernetics, vol. 48, no. 7, pp. 2139-2153, 2018.[19] 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, “A Maximal Clique Based Multiobjective Evolutionary Algorithm for Overlapping Community Detection,” IEEE Transactions on Evolutionary Computation, vol. 21, no. 3, pp. 363-377, 2017.[20] Qiang Yang, Wei-Neng Chen (陈伟能，通讯作者), 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.[21] Qunfeng Liu, Wei-Neng Chen (陈伟能，通讯作者), 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.[22] Qiang Yang, Wei-Neng Chen (陈伟能，通讯作者), 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.[23] Qiang Yang, Wei-Neng Chen (陈伟能，通讯作者), Yun Li, Philip Chen, Xiang-Min Xu and Jun Zhang, “Multimodal Estimation of Distribution Algorithms,” IEEE Transactions on Cybernetics, vol. 47, no. 3, pp. 636-650, 2017.[24] Ni Chen, Wei-Neng Chen (陈伟能，通讯作者), 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 Transactions on Cybernetics, vol. 45, no. 9, pp. 1851-1863, 2015.[25] Wei-Neng Chen (陈伟能，通讯作者) and Da-Zhao Tan, “Set-based discrete particle swarm optimization and its applications: a survey,” Frontiers of Computer Sciences, vol. 12, pp. 203-216, 2018[26] Ying Lin, Yu Liu, Wei-Neng Chen (陈伟能，通讯作者) and Jun Zhang, “A Hybrid Differential Evolution Algorithm for Mixed-Variable Optimization Problems”, Information Sciences, vol 446, pp. 170-188, 2018.[27] Wei-Neng Chen (陈伟能), Jun Zhang, Ying Lin, Ni Chen, Zhi-hui Zhan, Henry Shu-Hung Chung, Yun Li and Yu-hui Shi, “Particle Swarm Optimization with an Aging Leader and Challengers”, IEEE Transactions on Evolutionary Computation, vol. 17, no. 2, pp. 241-258, 2013. 【ESI高被引论文】[28] 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.[29] M. Shen, Wei-Neng Chen (陈伟能，通讯作者), Jun Zhang, Henry Shu-Hung Chung and Okyay Kaynak, “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.[30] Wei-Neng Chen (陈伟能), Jun Zhang, Henry Shu-Hung. 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.[31] 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.[32] 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.[33] 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. 指导学生情况 1 研究生指导情况：指导在读博士生5人，硕士生6人，协助指导博士、硕士生10余人。指导的学生已以第一作者发表IEEE Transactions论文13篇，学术会议论文30余篇。2 本科生指导情况：指导学生开展创新科研项目多项，并指导学生参加国际大学生数学建模竞赛、IEEE XTREME极限程序设计竞赛等学科竞赛，其中1个队伍在全球1000队参赛队伍中排名第3。指导本科生发表国际学术会议论文3篇。