个人简介：

欧阳海滨，2016年获得东北大学博士学位。研究方向为群智能优化算法研究与应用，大规模复杂系统控制与优化，无人系统控制优化与调度。至今已发表期刊论文60多篇，其中中科院1区/2区论文20多篇。主持参加多项国家自然科学基金项目，广东省自然科学基金项目和广州市科技计划项目。中国自动化学会会员，中国仿真学会会员，中国仿真学会智能优化与调度专委会委员，中国自动化学会工业物联网技术与应用专委会委员。中科院1区期刊Applied Soft Computing编委，SCI期刊sustainability客座编辑，SCI期刊Mathematics客座编辑，2021，2022年度被评为控制理论与应用杂志优秀审稿人。曾获广东省数学建模竞赛优秀指导教师，广州大学年度学术新锐，现在是国内外优秀杂志的审稿人，包括控制理论与应用(EI)，控制与决策(EI)，IEEE Transactions on Evolutionary Computation, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Artificial Intelligence, Information Sciences(SCI), Applied Soft Computing (SCI), Swarm and Evolutionary Computation (SCI)等。

研究领域：

◆研究方向一: 计算智能及多目标优化算法研究及其应用

◆研究方向二: 机器人与无人机路径规划，优化与调度研究

◆研究方向三: 复杂大规模电力系统优化与配置研究

◆研究方向四: 图像聚类与特征选择研究

学习经历：

◆2022.7-2023.7  华南理工大学，计算机科学与工程学院，国内访学

◆2017.6-2017.12，加拿大渥太华大学，访学

◆2012/9-2016/1，东北大学，控制理论与控制工程，博士

◆2010/9-2012/7，东北大学，控制理论与控制工程，硕士

◆2006/9-2010/7，渤海大学，自动化，学士

工作经历:

◆2019/4-至今，广州大学，机械与电气工程学院，副教授

◆2016/6-2019/4，广州大学，机械与电气工程学院，讲师

教学课程与指导学生

讲授本科课程：自动控制原理，现代控制理论，智能计算设计前沿与程序实现（小班课），复变函数与积分变换，模式识别与智能计算，MATLAB 程序设计

研究生课程：计算智能

指导学生已发表SCI论文14篇，申报国家级创新训练项目1项，省级4项，挑战杯国家级二等奖1项，优秀创新毕业论文一等奖1项。

学术及科研成果:

（1）学术兼职

中科院一区top期刊Applied soft computing编委，SCI期刊sustainability客座编辑，SCI期刊Mathematics客座编辑，30多种国内外期刊杂志审稿人，主要的一些包括：控制理论与应用(EI)，控制与决策(EI), IEEE Transactions on Neural Networks and Learning Systems(SCI), IEEE Transactions on Evolutionary Computation, Applied Soft Computing (SCI), Engineering Applications of Artificial Intelligence (SCI), IEEE/CAA Journal of Automatica Sinica (SCI), Expert Systems with Applications (SCI)，Mathematics and Computers in Simulation(SCI)，IEEE Transactions on Emerging Topics in Computational Intelligence（SCI）Artificial Intelligence Review（SCI）等。

（2）科研服务

主持参加多项国家自然科学基金项目,广东省自然科学基金项目和广州市科技计划项目。

（3）代表性论文

1. Haibin Ouyang*, Gao L, Li S, et al. Improved novel global harmony search with a new relaxation method for reliability optimization problems [J]. Information Sciences, 2015, 305: 14-55. (SCI，中科院 1区)

2. Haibin Ouyang*, Gao L, Li S, et al. Improved global-best-guided particle swarm optimization with learning operation for global optimization problems[J]. Applied Soft Computing, 2017, 52: 987-1008. (SCI, 中科院2区)

3. Haibin Ouyang*, Kang Liu, Chunliang Zhang, Steven Li, Liqun Gao, Large-scale mobile users deployment optimization based on a two-stage hybrid global HS-DE algorithm in multi-UAV-enabled mobile edge computing, Engineering Applications of Artificial Intelligence, 2023, 124: 106608. (SCI, 中科院2区)

4. Haibin Ouyang*, Gao L, Li S, Kong X, et al. On the iterative convergence of harmony search algorithm and a proposed modification [J]. Applied Mathematics and Computation, 2014, 247: 1064-1095. (SCI, 中科院2区)

5. Haibin Ouyang*, Gao L, Kong X, et al. Hybrid harmony search particle swarm optimization with global dimension selection [J]. Information Sciences, 2016, 346: 318-337. （SCI，中科院 1区）

6. Bozhen Chen, Haibin Ouyang*, Steven Li, Dexuan Zou. Differential evolution algorithm with a complementary mutation strategy and data Fusion-Based parameter adaptation, Information Sciences, 2024, 668: 120522. （SCI，中科院 1区）

7. Haibin Ouyang*, Siqi Liang, Steven Li, Ziyu Zhou, Zhi-Hui Zhan, A dual population collaborative harmony search algorithm with adaptive population size for the system reliability-redundancy allocation problems, Journal of Computational Design and Engineering, 2024, 11(2): 285–313. (SCI, 中科院2区)

8. Haibin Ouyang*, Jianhong Chen, Steven Li, Jianhua Xiang, Zhi-Hui Zhan, Altruistic population algorithm: A metaheuristic search algorithm for solving multimodal multi-objective optimization problems, Mathematics and Computers in Simulation, 2023,210: 296-319. (SCI, 中科院2区)

9. Haibin Ouyang*, Gao L, Li S, et al. Improved Harmony Search Algorithm: LHS[J]. Applied Soft Computing, 2017, 53, 133-167. (SCI, 中科院2区)

10. Wenqi Wei, Haibin Ouyang*, Chunliang Zhang, Steven Li, Liyun Fu, Liqun Gao, Dynamic Collaborative Fireworks Algorithm and its applications in robust pole assignment optimization, Applied Soft Computing, 100, 2021, 106999. (SCI, 中科院2区)

11. Haibin Ouyang*, Gao L, Kong X, et al. Teaching-learning based optimization with global crossover for global optimization problems [J]. Applied Mathematics and Computation, 2015, 265: 533-556. (SCI,中科院2区)

12. Chang He, Weiqing Huang, Haibin Ouyang*, Steven Li, Jianhua Xiang. Virus control optimizer based on the prevention and control mechanism of COVID-19 for engineering optimization problems, 2023, Applied Soft Computing 147(1):110770. (SCI, 中科院1区)

13. Wenqi Wei, Haibin Ouyang*, Steven Li, Xuanbo Zhao, Dexuan Zou, A modified fireworks algorithm with dynamic search interval based on closed-loop control, Mathematics and Computers in Simulation, 2022, 200: 329-360. (SCI, 中科院2区)