基本信息

个人简介

       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。主要研究方向是群体智能、演化计算及其应用。

       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。

       现任大数据与计算智能粤港联合创新平台负责人、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，中国计算机学会协同计算专业委员会委员，国际期刊IEEE Trans. on Neural Network & Learning Systems及Complex and Intelligent Systems副编辑。

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

社会兼职

◆ 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

研究方向

◆群体智能

◆进化计算

◆运筹与优化

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

发表文章

部分代表性论著

[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.