李宏，男，汉族，博士，教授，硕士生导师

陕西先进计算与应用创新中心副主任

西电-九洲先进计算联合实验室副主任

教育经历

1991-1995 西安文理学院 本科

2000-2003 西安电子科技大学 硕士

2005-2009 西安电子科技大学 博士

工作经历

2000-2003 西安电子科技大学 助教

2003-2008 西安电子科技大学 讲师

2008-至今 西安电子科技大学 副教授

2014-2015 英国埃塞克斯大学计算机科学与电子工程学院, 访问学者

2025-至今 中国石油大学（北京）克拉玛依校区 教授

讲授课程

1. 高等数学

2. 线性代数

3. 智能优化算法

4. 最优化方法

5. 工程数学

6. 应用概率案例分析与实践

7. 机器学习

研究方向

1. 机器学习

2. 计算智能

3. 大数据分析与处理

4. 多目标优化与双层规划

科研项目

1. 主持陕西省自然科学基础研究计划项目三项，已结题。

2. 参与国家自然科学基金四项，已结题。

3. 参与横向课题四项，已结题。

代表性论文

1. 李宏，双层规划的智能优化算法及其应用，清华大学出版社，2026.

2. Hong Li, Lixia Bai, Weifeng Gao, Jin Xie, Lingling Huang. Many-objective coevolutionary learning algorithm with extreme learning machine auto-encoder for ensemble classifier of feedforward neural networks. Expert Systems with Applications, 2024, 246: 123186.

3. Hong Li, Weifeng Gao, Jin Xie, and Gary G. Yen. Multiobjective bilevel programming model for multilayer perceptron neural networks. Information Sciences, 2023, 642: 119031.

4. Hong Li, and Li Zhang. A hybrid heuristic approach with adaptive scalarization for linear semivectorial bilevel programming and its application. Memetic Computing, 2022, 14: 433-449.

5. Hong Li, and Li Zhang. An efficient solution strategy for bilevel multiobjective optimization problems using multiobjective evolutionary algorithm. Soft Computing, 2021, 25(13): 8241-8261.

6. Hong Li, and Li Zhang. A bilevel learning model and algorithm for self-organizing feed-forward neural networks for pattern classification. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(11): 4901-4915.

7. Hong Li, Qingfu Zhang, Qin Chen, Li Zhang, Yong-Chang Jiao. Multiobjective differential   evolution algorithm based on decomposition for a type of multiobjective bilevel programming problems. Knowledge-Based Systems, 2016, 107: 271–288.

8. Hong Li, Li Zhang, Yong-Chang Jiao. An interactive approach based on a discrete differential evolution algorithm for a class of integer bilevel programming problems. International Journal of Systems Science, 2016, 47 (10): 2330-2341.

9. Hong Li, Li Zhang, Yongchang Jiao. Discrete differential evolution algorithm for integer linear bilevel programming problems. Journal of Systems Engineering and Electronics, 2016, 27(4): 912-919.

10. Hong Li, Li Zhang. A discrete hybrid differential evolution algorithm for solving integer programming problems, Engineering Optimization, 2014, 46(9) , 1238-1268.

11. Hong Li, Li Zhang, Yongchang Jiao. Solution for integer linear bilevel programming problems using orthogonal genetic algorithm. Journal of Systems Engineering and Electronics, 2014, 25(3): 443-451.

12. Zhihui Li, Hong Li, Weifeng Gao, Jin Xie, Adam Slowik. Feature selection in high-dimensional classification via an adaptive multifactor evolutionary algorithm with local search, Applied Soft Computing, 2025, 169: 112574.

13. Lixia Bai, Hong Li, Weifeng Gao, Jin Xie, Houqiang Wang. A joint multiobjective optimization of feature selection and classifier design for high-dimensional data classification. Information Sciences, 2023, 626: 457-473.

14. Lixia Bai, Hong Li, Weifeng Gao, Jin Xie. A cooperative genetic algorithm based on extreme learning machine for data classification. Soft Computing, 2022, 26: 8585-8601.

15. Houqiang Wang, Hong Li, Weifeng Gao, Jin Xie, PrUb-EL: A hybrid framework based on  deep learning for identifying ubiquitination sites in Arabidopsis thaliana using ensemble learning strategy, Analytical Biochemistry, 2022, 658: 114935.

16. Li Zhang，Hong Li，Xian-Guang Kong. Evolving feedforward artificial neural networks using a two-stage approach. Neurocomputing, 2019, 360: 25-36.

17. Li Zhang, Hong Li, Weifeng Gao. A coevolutionary artificial bee colony for training feedforword neural networks, Neural Computing and Applications, 2025，37（27）： 22649-22666.

主要成果（专利及奖励等）

1. 2012年陕西省科学技术奖：二等奖

2. 2012年陕西省高等学校科学技术奖：一等奖

3. 授权发明专利8项

4. 申请专利16项

5. 2025年西安电子科技大学师德标兵

6. 2026年中国石油大学（北京）克拉玛依校区“最美援建教师”

联系方式：13720412693

E-mail：2024563014@cupk.edu.cn