当前位置: X-MOL首页全球导师 国内导师 › 陈伟能

个人简介

2016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。目前已发表国际期刊和国际会议论文100余篇,其中IEEE Transactions长文40余篇;主持国家重点研发科技创新2030“新一代人工智能”重大项目、国家自然科学基金面上项目、国家自然科学基金-英国皇家学会牛顿基金项目等国家和省部级项目10余项。博士学位论文先后获IEEE CIS(计算智能学会)杰出博士学位论文奖和中国计算机学会(CCF)优秀博士学位论文奖。 学历 ◆ 博士,2006-2012,中山大学,计算机应用技术 ◆ 学士,2002-2006,中山大学,网络工程 教学经历 ◆ 离散数学(Discrete Mathematics) ◆ 数学建模与实验(Mathematical Modeling & Experiment) ◆ 数学分析(Mathematical Analysis) ◆ 高性能计算导论(An Introduction to High Performance Computing) ◆ 数值计算(Numerical Computing) ◆ 计算智能(Computational Intelligence) 工作经历 ◆ 讲师,2012-2013,中山大学 ◆ 副教授,2014-2016,中山大学 ◆ 教授,2016-今,华南理工大学 ◆ Newton Fund 访问学者,2015.8-9,英国格拉斯哥大学 ◆ 访问学者,2017.2,新西兰奥塔哥大学 获奖情况 ◆ 2017 霍英东青年教师奖 ◆ 2016 国家优秀青年科学基金获得者 ◆ 2015 广东省杰出青年科学基金获得者 ◆ 2015 广东省特支计划青年拔尖人才 ◆ 2014 广州市珠江科技新星 科研项目 ◆ 国家重点研发项目(科技创新2030新一代人工智能),“群智涌现机理与演化计算方法”,2018AAA0101300,895万,2019.12-2021.12,项目负责人 ◆ 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 ◆ 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”,2018B050502006,150万,2018.10-2020.10,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 ◆ 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 ◆ 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

研究领域

◆群体智能 ◆进化计算 ◆运筹与优化

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

[1] Wei-neng Chen (陈伟能,通讯作者), Ya-hui Jia, et al., “A Cooperative Co-evolutionary Approach to Large-Scale Multisource Water Distribution Network Optimization”, IEEE Transactions on Evolutionary Computation, vol. 23, no. 5, 842-857, 2019. [2] Wei-neng Chen (陈伟能,通讯作者), Da-Zhao Tan, et al., “Ant Colony Optimization for the Control of Pollutant Spreading on Social Networks”, IEEE Transactions on Cybernetics, in press, 2019. [3] An Song, Wei-Neng Chen (陈伟能,通讯作者), Yue-jiao Gong, et al., “A Divide-and-conquer Evolutionary Algorithm for Large-scale Virtual Network Embedding”, IEEE Transactions on Evolutionary Computation, in press, 2019. [4] Xue Yu, Wei-neng Chen (陈伟能,通讯作者), et al., “Path Planning in Multiple-AUV systems for Difficult Target Traveling Missions: A Hybrid Metaheuristic Approach”, IEEE Transactions on Cognitive and Developmental Systems, accepted in 2019. [5] Tian-fang Zhao, Wei-neng Chen (陈伟能,通讯作者), 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, accepted in 2019. [6] Q. Yang, Wei-neng Chen (陈伟能,通讯作者), et al., “A Distributed Swarm Optimizer with Adaptive Communication for Large Scale Optimization”, IEEE Trans. on Cybernetics, in press, 2019. [7] An Song, Wei-neng Chen (陈伟能,通讯作者), et al., “A Constructive Particle Swarm Optimizer for Virtual Network Embedding”, IEEE Transactions on Network Science and Engineering, accepted in 2019. [8] Xue Yu, Wei-neng Chen (陈伟能,通讯作者), et al., “ACO-A*: Ant Colony Optimization Plus A* for 3D Traveling in Environments with Dense Obstacles”, IEEE Transactions on Evolutionary Computation, 2019, 23(4): 617--631. [9] Wen Shi, Wei-neng Chen (陈伟能,通讯作者), et al., “An Adaptive Estimation of Distribution Algorithm for Multi-Policy Insurance Investment Planning”, IEEE Transactions on Evolutionary Computation, 2019, 23(1): 1-14. [10] Ya-Hui Jia, Wei-neng Chen (陈伟能,通讯作者), et al., “Distributed Cooperative Co-Evolution With Adaptive Computing Resource Allocation for Large Scale Optimization”, IEEE Transactions on Evolutionary Computation, 2019, 23(2): 188-202. [11] An Song, Wei-neng Chen (陈伟能,通讯作者), et al., “Distributed Virtual Network Embedding System with Historical Archives and Set-based Particle Swarm Optimization”, IEEE Transactions on Systems, Men and Cybernetics: Systems, accepted in press, 2018. [12] Ya-Hui Jia, Wei-neng Chen (陈伟能,通讯作者), et al., “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. [13] Qiang Yang, Wei-neng Chen (陈伟能,通讯作者), et al., “A Level-based Learning Swarm Optimizer for Large Scale Optimization”, IEEE Transactions on Evolutionary Computation, vol. 22, no. 4, pp. 578-594, 2018. [14] Ya-hui Jia, Wei-neng Chen (陈伟能,通讯作者), et al., “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. [15] Xue Yu, Wei-neng Chen (陈伟能,通讯作者), et al., 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. [16] Qunfeng Liu, Wei-neng Chen (陈伟能,通讯作者), et al., “Benchmarking Stochastic Algorithms for Global Optimization Problems by Visualizing Confidence Intervals”, IEEE Transactions on Cybernetics, vol. 47, no. 9, pp. 2924-2937, 2017 [17] Qiang Yang, Wei-neng Chen (陈伟能,通讯作者), et al., “Adaptive Multimodal Continuous Ant Colony Optimization,” IEEE Transactions on Evolutionary Computation, vol. 21, no. 2, pp. 191-205, 2017. [18] Xuyun Wen, Wei-neng Chen (陈伟能,通讯作者), et al., “A Maximal Clique Based Multiobjective Evolutionary Algorithm for Overlapping Community Detection,” IEEE Transactions on Evolutionary Computation, vol. 21, no. 3, pp. 363-377, 2017 [19] Qiang Yang, Wei-neng Chen (陈伟能,通讯作者), et al., “Segment-Based Predominant Learning Swarm Optimizer for Large-Scale Optimization,” IEEE Transactions on Cybernetics, vol. 47, no. 9, pp. 2896-2910, 2017 [20] Qiang Yang, Wei-neng Chen (陈伟能,通讯作者), et al., “Multimodal Estimation of Distribution Algorithms,” IEEE Trans. on Cybernetics, vol. 47, no. 3, pp. 636-650, 2017. [21] Ni Chen, Wei-neng Chen (陈伟能,通讯作者), et al., “An Evolutionary Algorithm with Double-Level Archives for Multi-Objective Optimization,” IEEE Trans. on Cybernetics, vol. 45, no. 9, pp. 1851-1863, Spet. 2015. [22] Wei-neng Chen (陈伟能) et al., “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】 [23] 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. [24] M. Shen, Wei-neng Chen (陈伟能) (通讯作者), 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. [25]Wei-neng Chen (陈伟能), et al., “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. [26]Wei-neng Chen (陈伟能), et al., “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. [27]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.

学术兼职

◆ 2016年-今,IEEE 广州分会副主席 ◆ 2019年-今,IEEE Transactions on Neural Network and Learning Systems,副编辑 ◆ 2018年-今,Complex & Intelligent Systems,副编辑

推荐链接
down
wechat
bug