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更新日期：2022年3月26日 姓 名 贾亚晖 性 别 男 出生年月 1992年3月 籍贯 河北馆陶县 民 族 汉族 政治面貌 群众 最后学历 博士研究生 最后学位 工学博士 技术职称 副教授 导师类别 博、硕导 行政职务 Email jiayahui@scut.edu.cn 工作单位 未来技术学院 邮政编码 通讯地址 华南理工大学广州国际校区B1-c414 单位电话 个人主页 https://flyki.github.io/ 个人简介 贾亚晖博士2019年6月毕业于中山大学数据科学与计算机学院；2019年8月至2021年8月于新西兰惠灵顿维多利亚大学任博士后研究员；现任华南理工大学未来技术学院副教授。自2013年起一直从事进化计算理论及应用研究。围绕相关研究在国际权威期刊和会议上共计发表和录用论文15篇，包含IEEE Trans. on Evolutionary Computation (TEVC)【影响因子11.554/2021】, IEEE Trans. on Cybernetics (TCYB) 【影响因子11.448/2021】和IEEE Trans. on Systems, Man, and Cybernetics: Systems (TSMC) 【影响因子13.451/2021】论文10篇，申请人为第一作者论文12篇。曾受邀在GECCO、WCCI等国际会议上进行成果汇报。目前担任IEEE TEVC，IEEE TCYB, IEEE TSMC，IJCAI，WCCI等多个国际顶级学术期刊和会议审稿人。每年可招收一个博士和两个硕士，欢迎对我的研究方向感兴趣的同学直接联系我进行咨询。 工作经历 2019.08-2021.08 新西兰惠灵顿维多利亚大学 博士后 导师：张孟杰院士，梅一博士2021.11至今 华南理工大学未来技术学院 助理教授 教育经历 2009.09-2013.06 中山大学软件学院 学士2013.09-2019.06 中山大学数据科学与计算机学院 博士 社会、学会及学术兼职 期刊审稿人: IEEE Transactions on Evolutionary Computation (Q1, impact factor = 11.169) IEEE Transactions on Cybernetics (Q1, impact factor = 11.079) IEEE Transactions on IEEE Transactions on Systems, Man, and Cybernetics: Systems (Q1, impact factor = 13.451) Applied Soft Computing (Q1, impact factor = 5.472)国际会议PC会员及审稿人: IEEE Congress on Evolutionary Computation (CEC) 2020, 2021 International Joint Conferences on Artificial Intelligence (IJCAI) 2021 Genetic and Evolutionary Computation Conference (GECCO) 2020, 2021 The International Conference on Advanced Computational Intelligence (ICACI) 2020, 2016 IEEE Symposium Series on Computational Intelligence (SSCI) 2019 研究领域 1. 进化优化(Evolutionary Optimization)，进化学习(Evolutionary Learning)2. 组合优化(Combinatorial Optimization)，运筹学(Operations Research)3. 自动算法设计(Automated Algorithm Design)，超启发算法(Hyper-heuristic)4. 多智能体系统(Multi-agent System)，群体智能(Swarm Intelligence)5. 智慧物流(Intelligent Logistics)，智慧交通(Intelligent Transportation) 发表论文 期刊论文[1] Ya-Hui Jia（贾亚晖）, Yi Mei, Mengjie Zhang, “A Bi-level Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem”, IEEE Transactions on Cybernetics, 2021.[2] Ya-Hui Jia（贾亚晖）, Yi Mei, Mengjie Zhang, “Contribution-based Cooperative Co-evolution for Non-separable Large-scale Problems with Overlapping Subcomponents,” IEEE Transactions on Cybernetics, 2020.[3] Ya-Hui Jia（贾亚晖）, Wei-Neng Chen, Tianlong Gu, et al., “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, 2018.[4] Ya-Hui Jia（贾亚晖）, Wei-Neng Chen, Tianlong Gu, et al., “A Dynamic Logistic Dispatching System With Set-Based Particle Swarm Optimization,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 9, pp. 1607-1621, 2018.[5] Ya-Hui Jia（贾亚晖）, Wei-Neng Chen, Huaqiang Yuan, et al., “An Intelligent Cloud Workflow Scheduling System with Time Estimation and Adaptive Ant Colony Optimization,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 1, pp. 634-649, 2021.[6] Wei-Neng Chen, Ya-Hui Jia（贾亚晖，除导师外一作）, Feng Zhao, et al., “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.[7] Guanqiang Gao, Yi Mei, Ya-Hui Jia（贾亚晖）, et al., “Adaptive Coordination Ant Colony Optimization for Multi-Point Dynamic Aggregation,” IEEE Transactions on Cybernetics, 2020.[8] Guanqiang Gao, Yi Mei, Bin Xin, Ya-Hui Jia（贾亚晖）, Will N. Browne, “Automated Coordination Strategy Design using Genetic Programming for Dynamic Multi-Point Dynamic Aggregation,” IEEE Transactions on Cybernetics, 2021.[9] Ya-Hui Jia（贾亚晖）, Yu-Ren Zhou, Ying Lin, et al., “A Distributed Cooperative Co-evolutionary CMA Evolution Strategy for Global Optimization of Large-Scale Overlapping Problems,” IEEE Access, vol. 7, pp. 19821-19834, 2019.[10] Ya-Hui Jia（贾亚晖）, Yi Mei, Mengjie Zhang, “A Two Stage Swarm Optimizer for Water Distribution Network Optimization,” IEEE Transactions on Cybernetics.[11] Ya-Hui Jia（贾亚晖）, Yi Mei, Mengjie Zhang, “Confidence-based Ant Colony Optimization for Capacitated Electric Vehicle Routing Problem with Comparison of Different Representations,” IEEE Transactions on Evolutionary Computation.会议论文[12] Ya-Hui Jia（贾亚晖）, Yi Mei, Mengjie Zhang, “A Memetic Level-based Learning Swarm Optimizer for Large-scale Water Distribution Network Optimization”, in Proceedings of the 2020 Annual Conference on Genetic and Evolutionary Computation, pp. 1107-1115.[13] Ya-Hui Jia（贾亚晖）, et al., “Generating Software Test Data by Particle Swarm Optimization,” in Proceedings of Asia-Pacific Conference on Simulated Evolution and Learning 2014, pp. 37-47.[14] Ya-Hui Jia（贾亚晖）, Wei-Neng Chen, and Xiao-Min Hu, “A PSO approach for software project planning,” in Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, pp. 7-8.[15] Guanqiang Gao, Yi Mei, Bin Xin, Ya-Hui Jia（贾亚晖）, Will N. Browne, “A Memetic Algorithm for the Task Allocation Problem on Multi-robot Multi-point Dynamic Aggregation Missions,” in Proceedings of the 2020 IEEE Congress on Evolutionary Computation, pp. 1-8. 教学活动 未来技术学院 大一下 《数据结构》 指导学生情况  北京理工大学 高冠强 博士，“Multi-Point Dynamic Aggregation Problems”， 2020，与 Yi Mei, Will Browne, Bin Xin共同指导. 我的团队 华南理工大学计算机科学与工程学院 计算智能团队 http://www2.scut.edu.cn/cs/2020/0518/c25656a376728/page.htm有教授4人，研究生30多人，拥有独立分布式计算集群，团队主持国家级和省部级项目10余项。