彭雷，博士，副教授，博士生导师，华中科技大学计算机软件与理论专业研究生毕业，获工学博士学位。2014-2015年，英国University of Strathclyde 大学Advanced Space Concept Lab 实验室从事航天智能优化算法合作研究。先后主持完成国家自然科学基金、博士后科学面上基金、863重大专项子课题、航天科工基金、湖北省自然科学基金等科研项目20余项。已在国内外重要学术期刊发表论文60余篇，参与出版专著7部，获得国家发明专利20余项、软件著作权10项。目前担任IEEE计算智能学会Task Force on Computational Intelligence in Aerospace Science委员，Expert Systems with Applications、Artificial intelligence Review、Advance in Space Research等国际学术期刊审稿人。2025年获中国仪器仪表学会科技进步二等奖；2024年获湖北省技术发明二等奖；2021年获中国仿真学会科学技术奖创新技术奖一等奖；2019年获湖北省科学技术进步二等奖，第二届空间智能技术创新大赛二等奖。获第七届湖北省高等学校教学成果三等奖，第六届青年教师教学优秀奖，主持完成省级和校级教学项目5项，以第一作者在计算机教育（中国计算机学会CCF T2重要期刊）等教研期刊发表教学论文3篇，参与编写计算机教材3部。指导学生在全国挑战杯、全国计算机仿真大赛等赛事上获一等奖等奖励15项，指导本科生获得校级和院级大学生科研立项重点项目和一般项目20余项，获得校级优秀本科毕业论文7篇，校级优秀硕士毕业论文1篇。

研究方向：

智能计算及其航天应用、基于深度学习的故障检测、基于深度强化学习的大规模组合优化等。

部分代表成果：

1. Peng, Lei, Mengxin Chi, Guangming Dai, Maocai Wang, and Zhuoming Yuan. Multi-operator differential evolution with a novel local search framework based on reinforcement learning for engineering optimization problems. Applied Intelligence, 2026, 56 (8):299. 

2. Zhang, Ziyun, Lei Peng*, Guangming Dai, Maocai Wang, Ying Gao, Jiayi Lin, Yandan Chen, and Wentian Cai. A novel multi-channel distinctive pooling for weakly supervised multi-label surface defect segmentation. Measurement, 2026, 257:118610.

3. Yuan, Zhuoming, Guangming Dai, Lei Peng*, and Maocai Wang. Granularity-based hierarchical learning differential evolution via knowledge reuse for space trajectory optimization. Engineering Applications of Artificial Intelligence,2026, 175:114565. 

4. Zhang, Wanbing, Guangming Dai, Lei Peng*, Maocai Wang, Zhuoming Yuan, Zhiming Song, and Xiaoyu Chen. Reinforcement-learning-based improved snake optimizer for real-world engineering problems. Engineering Optimization, 2026, 58 (4):1101-32. 

5. Yuan, Zhuoming, Lei Peng*, Guangming Dai, Maocai Wang, Wanbing Zhang, Qingrui Zhou, and Wei Zheng. An improved multi-operator differential evolution via a knowledge-guided information sharing strategy for global optimization. Expert Systems with Applications, 2025, 269:126403.

6. Yuan, Zhuoming, Guangming Dai, Lei Peng*, Maocai Wang, Zhiming Song, and Xiaoyu Chen. Scenario-based self-learning transfer framework for multi-task optimization problems. Knowledge-Based Systems,2025, 325:113824.

7. Zhuoming Yuan, Lei Peng*, Guangming Dai, Maocai Wang, Jian Li, Wanbing Zhang, and Qianqian Yu. An improved multi-operator differential evolution with two-phase migration strategy for numerical optimization. Information Sciences, 2024, 669: 120548.

8. Lei Peng, Zhuoming Yuan, Guangming Dai, Maocai Wang, Jian Li, Zhiming Song, and Xiaoyu Chen. A Multi-strategy Improved Snake Optimizer Assisted with Population Crowding Analysis for Engineering Design Problems. Journal of Bionic Engineering, 2024, 21 (3):1567-91.

9. Yu, Qianqian, Guangming Dai, Chen Yang, Lei Peng, Maocai Wang, and Xiaoyu Chen. Bi-level multi-objective optimization of the structure and attitude for space solar power station. Advances in Space Research, 2024, 73 (3):1952-65.

10. Lei Peng, Zhuoming Yuan, Guangming Dai, Maocai Wang, and Zhe Tang. Reinforcement learning-based hybrid differential evolution for global optimization of interplanetary trajectory design. Swarm and Evolutionary Computation, 2023, 81:101351.

11. Ziyun Zhang, Lei Peng*, Guangming Dai, Maocai Wang, Junfei Bai, Lei Zhang, and Jian Li. A Hybrid Adversarial Domain Adaptation Network for Bearing Fault Diagnosis Under Varying Working Conditions. IEEE Transactions on Instrumentation and Measurement, 2023, 72:1-13.

12. Qianqian Yu, Chen Yang, Guangming Dai, Lei Peng, and Xiaoyu Chen. Synchronous Wireless Sensor and Sink Placement Method Using Dual-Population Co-evolutionary Constrained Multiobjective Optimization Algorithm. IEEE Transactions on Industrial Informatics, 2023, 19 (6):7561-71.

13. Zhe Tang, Lei Peng*, Guangming Dai, Panpan Wang, Yuwei Zhao, Haozhe Yang, Zhuoying Pu & Mingcheng Zuo. Enhancing the search ability of a hybrid LSHADE for global optimization of interplanetary trajectory design. Engineering Optimization, 2023, 55(4),632-649.

14.  Zhang, Yanyun, Guangming Dai, Lei Peng, and Maocai Wang. Enhancing differential evolution algorithm through a population size adaptation strategy. Natural Computing, 2023, 22 (2):379-92.

15. Zuo, Mingcheng, Guangming Dai, Lei Peng, Zhe Tang, Dunwei Gong, and Qinxia Wang. A differential evolution algorithm with the guided movement for population and its application to interplanetary transfer trajectory design. Engineering Applications of Artificial Intelligence, 2022, 110:104727. 

16.  Mingcheng Zuo, Guangming Dai, Lei Peng. A new mutation operator for differential evolution algorithm, Soft Computing, 2021, 25 (21):13595-615

17. Mingcheng Zuo, Guangming Dai, Lei Peng, Maocai Wang. An envelope curve-based theory for the satellite coverage problems. Aerospace Science and Technology, 2020: 105750.

18. Mingcheng Zuo, Guangming Dai, Lei Peng*. Multi-agent genetic algorithm with controllable mutation probability utilizing back propagation neural network for global optimization of trajectory design, Engineering Optimization, 2019, 51(1), 120-139.

19.  Yanyun Zhang, Lei Peng*, Guangming Dai, Maocai Wang. Enhanced Hybrid Differential Evolution for Earth-Moon Low-Energy Transfer Trajectory Optimization, International Journal of Aerospace Engineering, 2018: 1-17.

20.  Mingcheng Zuo, Guangming Dai, Lei Peng*, EP_DE II: A significant algorithm to search the optimal solution for global optimization of multi-gravity assist trajectory, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2018, 232(12): 2326-2337.

指导学生获奖：

1.2024年，第十五届“蓝桥杯”全国软件与信息技术专业人才大赛二等奖.

2.2023年，第十四届“蓝桥杯”全国软件与信息技术专业人才大赛三等奖.

3.2022年，第八届中国国际互联网+大学生创新创业大赛，湖北省二等奖（银奖）.

4.2022年，第五届湖北省“我梦见——楚天创客”大赛 湖北省二等奖（银奖）.

5.2022年，张永成、和崇伟、刘阳，第三届全国大学生算法设计与编程挑战赛（夏季赛），铜奖

6.2019年，第十二届“挑战杯”课外学术科技作品竞赛湖北省省赛二等奖

7.2019年，美国数学建模竞赛，二等奖

8.2016年，第七届全国计算机仿真大赛一等奖

9.2014年，第六届全国计算机仿真大赛三等奖

10.2012年，第五届全国计算机仿真大赛一等奖

团队成员：

空间信息工程实验室

团队负责人戴光明教授，团队共有6名教师，教授2名，副教授3人，讲师1人，其中博士生导师3名。

欢迎计算机类、数学类、地学信息类、自动化类等专业的同学报考（特别欢迎有志于硕博连读的同学报考）。