个人简介

贾亚晖，男，1992年生，博士，华南理工大学未来技术学院副教授，博导，人工智能方向。主要从事人工智能和计算智能方面研究，包含进化计算优化方法和进化计算学习方法，主要应用场景包括传统组合优化问题、智慧交通、智慧物流等。担任IEEE Trans. on Evolutionary Computation, IEEE Trans. On Cybernetics等国际顶级期刊审稿人且多次获邀出任IEEE WCCI等领域内重要国际会议的程序委员会委员。个人主页：https://flyki.github.io/

联系邮箱：jiayahui@scut.edu.cn

教育背景

2013-2019年中山大学数据科学与计算机学院获得工学博士学位，师从陈伟能教授。

2009-2013年中山大学软件学院获得工学学士学位；

工作经历

2021年 - 至今 于华南理工大学未来技术学院担任准聘副教授。

2019年 - 2021年于新西兰维多利亚大学从事博士后工作，师从张孟杰院士。

标志性成果

[1]Ya-Hui Jia（贾亚晖）, Yi Mei, Mengjie Zhang, “A Two Stage Swarm Optimizer for Water Distribution Network Optimization,” IEEE Transactions on Cybernetics.

[2]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.

[3]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.

[4]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.

[5]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.

[6]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.

[7]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.

[8]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.

[9]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.

[10]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.

[11]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.

[12]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.

[13]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.

[14]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.