陈伟能，华南理工大学 计算机科学与工程学院-凯发备用网址

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。

2006、2012年在中山大学分别获学士、博士学位。一直围绕群体智能、演化计算及其应用开展研究，已发表国际期刊和国际会议论文100余篇，其中ieee transactions长文70余篇。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。主持科技部科技创新2030——“新一代人工智能”重大项目、国家自然科学基金项目等国家和省部级项目多项。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。

群体智能与演化计算

运筹与优化

ieee广州分会副主席、ieee smc广州分支主席

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

ieee transactions on neural networks and learning systems副编辑

complex and intelligent systems副编辑

发表ieee trans.期刊长文70余篇，主要工作包括：

[1]     xiao-cheng liao, wei-neng chen (陈伟能，通讯作者), 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 (陈伟能，通讯作者), 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 (陈伟能，通讯作者) 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 (陈伟能，通讯作者), 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 (陈伟能，通讯作者), 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 (陈伟能，通讯作者), 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 (陈伟能，通讯作者), 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 (陈伟能，通讯作者), 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 (陈伟能，通讯作者), 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 (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, vol. 15, no. 2, pp. 1074 – 1088, 2022.

[11]  feng-feng wei, wei-neng chen (陈伟能，通讯作者), 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 (陈伟能，通讯作者), 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 (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, 2021.

[15]  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, vol. 51, no. 12, pp. 6105 – 6118, 2021.

[16]  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, vol. 51, no. 8, pp. 5090 – 5104, 2021.

[17]  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, vol. 51, no. 2, pp. 927 – 942, 2021.

[18]  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, vol. 50, no. 9, pp. 4053 – 4065, 2020.

[19]  an song, wei-neng chen (陈伟能，通讯作者), 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 (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, vol. 12, no. 3, pp. 561-574, 2020.

[21]  q. yang, wei-neng chen (陈伟能，通讯作者), 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 (陈伟能，通讯作者), 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 (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.

[24]  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.

[25]  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.

[26]  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, 2018.

[27]  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

[28]  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.

[29]  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.

[30]  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

[31]  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.

[32]  xue yu, wei-neng chen (陈伟能，通讯作者), 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 (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

[34]  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 trans. on cybernetics, vol. 47, no. 3, pp. 636-650, 2017.

[35]  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 trans. on cybernetics, vol. 45, no. 9, pp. 1851-1863, spet. 2015.

[36]  wei-neng chen (陈伟能) 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高被引论文】

[37]  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. 

[38]  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.

[39]  wei-neng chen (陈伟能), 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 (陈伟能), 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 (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.