西安电子科技大学数学与统计学院导师教师师资介绍简介-李宏

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基本信息
姓名：李宏
职位：副教授
工作单位：数学与统计学院

联系方式
通信地址：西安市太白南路2号西安电子科技大学70信箱（邮编：710071）
电子邮箱：lihong@mail.xidian.edu.cn
办公电话：
办公地点：南校区信远II区211西

个人简介
李宏，博士，副教授。汉族，陕西丹凤人。2003年3月获得西安电子科技大学运筹学与控制论专业理学硕士学位，2009年6月获得西安电子科技大学智能信息处理专业工学博士学位。在国内外学术刊物和国际会议上发表论文30余篇，主持陕西省自然科学基础研究计划项目一项，主持中央高校基本科研业务费一项，参与国家自然科学基金项目两项。2012年获陕西科学技术二等奖一项（第三完成人）。2014年5月-2015年5月，在英国埃塞克斯大学计算机科学与电子工程学院访问交流。

科学研究
研究兴趣：
1. 进化计算
2. 双层规划算法及其应用
3. 智能信息处理
研究团队承担的科研项目：
1.陕西省自然科学基础研究计划项目《非光滑双层规划的进化算法研究与应用》（项目批准号2013JM1022），2013.1-2014.12，主持
2.中央高校基本科研业务费《三类复杂非线性双层规划问题的算法研究》（K），2011.6-2013.6，主持。
3.国家自然科学基金项目《复杂多目标规划及不可微双层规划的进化算法研究》（**），2004.1-2006.12，主要参加者。
科研获奖：
1. 2012年获陕西高等学校科学技术一等奖（排名第三）；
2. 2012年获陕西科学技术二等奖（排名第三）。

学术论文
[1] 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, Vol.107, 2016, 271–288.
[2] Hong Li, Li Zhang, and 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, Vol.47, No.10, 2016, 2330-2341.
[3] Hong Li, Li Zhang, Yongchang Jiao. Discrete differential evolution algorithm for integer linear bilevel programming problems, Journal of Systems Engineering and Electronics, Vol. 27, No. 4, 2016, pp.912-919.
[4]Hong Li, Li Zhang. Solving linear bilevel programming problems using a binary differential evolution, 2015 11th International Conference on Computational Intelligence and Security (CIS), 2015, pp. 38-42.
[5] Hong Li, Li Zhang. A discrete hybrid differential evolution algorithm for solving integer programming problems. Engineering Optimization, Vol. 46, No. 9, 2014, 1238-1268.
[6] Hong Li, Li Zhang, and Yongchang Jiao. Solution for integer linear bilevel programming problems using orthogonal genetic algorithm. Journal of Systems Engineering and Electronics, Vol. 25, No. 3, 2014, 443-451.
[7] Hong Li, Li Zhang. A differential evolution with two mutation strategies and a selection based on an improved constraint-handling technique for bilevel programming problems. Mathematical Problems in Engineering, Vol. 2014, 2014, 1-16.
[8] Hong Li, Li Zhang. A differential evolution with two mutation strategies for linear bilevel programming problems. 9th International Conference on Computational Intelligence and Security, 2013, 55-60.
[9]Hong Li, Yong-Chang Jiao and Li Zhang. Hybrid differential evolution with a simplified quadratic approximation forconstrained optimization problems. Engineering Optimization, Vol. 43, No. 2, February 2011, 115–134.
[10] Hong Li, Yongchang Jiao, and Li Zhang. Orthogonal genetic algorithm for solving quadratic bilevel programming problems.Journal of Systems Engineering and Electronics,2010, 21(5):763-770.
[11]Hong Li, Yong-Chang Jiao, Fu-Shun Zhang, and Li Zhang. An efficient method for linear bilevel programming problems based on the orthogonal genetic algorithm. International Journal of Innovative Computing, Information and Control, 2009, 5(9): 2837-2846.
[12] Hong Li, Yong-Chang Jiao. A Hybrid Evolutionary Algorithm for Mixed-Integer Nonlinear Bilevel ProgrammingProblems. Second International Conference on Genetic and Evolutionary Computing, Sept. 25-26, 2008, Jingzhou, Hubei, China, pp.549-553.
[13]Hong Li, Yong-Chang Jiao, Li Zhang and Fu-Shun Zhang. Global optimization method based on the statistical genetic algorithm for solving nonlinear bilevel programming problems. Proceedings of 2007 International Conference on Computational Intelligence and Security, Harbin, Heilongjiang, China, December 15-19, 2007, 96-100.
[14] Hong Li, Yong-chang Jiao，Li Zhang and Yuping Wang. Fast Computational Method for a Class of Nonlinear Bilevel Programming Problems Using the Hybrid Genetic Algorithm. Proceedings of the 2006 International Conference on Computational Intelligence and Security, November 3-6, 2006, Guangzhou, China, Part I, 219-224.
[15] Hong Li, Yong-Chang Jiao, Li Zhang, and Ze-Wei Gu. Genetic Algorithm Based on the Orthogonal Design for Multidimensional Knapsack Problems. Advances in Natural Computation, Part 1, Proceedings, Lecture Notes in Computer Science 4221, Springer-Verlag,2006, 696-705.
[16]Hong Li, Yong-Chang Jiao and Yuping Wang. Integrating the simplified interpolation into the Genetic Algorithm for constrained optimization problems. In Computational Intelligence and Security, Part 1, Proceedings, Lecture Notes in Artificial Intelligence 3801, Springer-Verlag, 2005, 247-254.
[17] Yan-Yan Tan, Yong-Chang Jiao, Hong Li, Xin-Kuan Wang. A modification to MOEA/D-DE for multiobjective optimization problems with complicated Pareto sets. Information Sciences, 2012, 213: 14-38.
[18] Yuping Wang, Hong Li, and Chuangyin Dang. A new evolutionary algorithm for a class of nonlinear bilevel programming problems and its global convergence. INFORMS Journal on Computing, 2011, 23(4): 618-629.

课程教学
1. 本科生“高等数学”、“线性代数”等课程。
2. 研究生“进化算法基础”、“运筹学方法导引”、“进化计算的理论与方法”。
3. 参加“线性代数”国家级精品课程。
4. 参加“高等数学”精品资源共享课建设。

Profile
Dr. Hong Li
Department of Operations Research and Cybernetics, School of Mathematics and Statistics, Xidian University

Contact Information
Address: Mailbox 70, Xidian University, No.2 South TaiBai Road, Xi'an 710071, China
Email: lihong (at) mail.xidian.edu.cn
Office:Room 211,the Second Districtof Xinyuan Building, South Campusof Xidian University

Introduction
Hong Li was born in Danfeng, Shaanxi, China. He received his Master degree in operational research and cybernetics, and Ph.D. degree in information and communication engineeringfrom Xidian University in 2003, and 2009, respectively. He is currently working as an associate professor in Xidian University. He has published over 30 papers in journals and conferences. In 2012, he obtained the second prize of the Shaanxi Provincial Science and Technolgy Award ...

Research Interests
1.Evolutionary Computation
2. Bilevel Programming
3. Intelligent Information Processing

Research
Research Areas:Evolutionary Computation,Bilevel Programming, and Intelligent Information Processing.
Current Research Project:
Study on algorithms of three types of complex nonlinear bilevel programming problems.

Papers
2017
1. Hong Li, Li Zhang, Qingfu Zhang, Qin Chen, An efficient solution strategy for bilevel multiobjective optimization problems using multiobjective evolutionary algorithms, Information Sciences, (be reviewed), (PDF and DATA).
Before 2017
1. 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, Vol.107, 2016, 271–288.
2. Hong Li, Li Zhang,and 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, Vol.47,No.10, 2016, 2330-2341.
3. Hong Li, Li Zhang, Yongchang Jiao. Discrete differential evolution algorithm for integer linear bilevel programming problems, Journal of Systems Engineering and Electronics, Vol. 27, No. 4, August 2016, pp.912-919.
4. Hong Li, Li Zhang, Solving linear bilevel programming problems using a binary differential evolution, 2015 11th International Conference on Computational Intelligence and Security (CIS), 2015, pp. 38-42.
5. Hong Li, and Li Zhang. A discrete hybrid differential evolution algorithm for solving integer programming problems. Engineering Optimization, Vol. 46, No. 9, 2014, 1238-1268.
6. Hong Li, Li Zhang, and Yongchang Jiao. Solution for integer linear bilevel programming problems using orthogonal genetic algorithm. Journal of Systems Engineering and Electronics, Vol. 25, No. 3, 2014, 443-451.
7. Hong Li, Li Zhang. A differential evolution with two mutation strategies and a selection based on an improved constraint-handling technique for bilevel programming problems. Mathematical Problems in Engineering, Vol. 2014, 2014, 1-16.
8.Hong Li, Yong-Chang Jiao and Li Zhang. Hybrid differential evolution with a simplified quadratic approximation for constrained optimization problems. Engineering Optimization, Vol. 43, No. 2, February 2011, 115–134.
9. Hong Li, Yongchang Jiao, and Li Zhang. Orthogonal genetic algorithm for solving quadratic bilevel programming problems.Journal of Systems Engineering and Electronics,2010, 21(5):763-770.
10. Hong Li, Yong-Chang Jiao, Fu-Shun Zhang, and Li Zhang. An efficient method for linear bilevel programming problems based on the orthogonal genetic algorithm. International Journal of Innovative Computing, Information and Control, 2009, 5(9): 2837-2846.
11. Hong Li, Yong-Chang Jiao. A Hybrid Evolutionary Algorithm for Mixed-Integer Nonlinear Bilevel Programming Problems. Second International Conference on Genetic and Evolutionary Computing, Sept. 25-26, 2008, Jingzhou, Hubei, China, pp.549-553.
12. Hong Li, Yong-Chang Jiao, Li Zhang and Fu-Shun Zhang. Global optimization method based on the statistical genetic algorithm for solving nonlinear bilevel programming problems. Proceedings of 2007 International Conference on Computational Intelligence and Security, Harbin, Heilongjiang, China, December 15-19, 2007, 96-100.
13. Hong Li, Yong-chang Jiao，Li Zhang and Yuping Wang. Fast Computational Method for a Class of Nonlinear Bilevel Programming Problems Using the Hybrid Genetic Algorithm. Proceedings of the 2006 International Conference on Computational Intelligence and Security, November 3-6, 2006, Guangzhou, China, Part I, 219-224.
14. Hong Li, Yong-Chang Jiao, Li Zhang, and Ze-Wei Gu. Genetic Algorithm Based on the Orthogonal Design for Multidimensional Knapsack Problems. Advances in Natural Computation, Part 1, Proceedings, Lecture Notes in Computer Science 4221, Springer-Verlag,2006, 696-705.
15. Hong Li, Yong-Chang Jiao and Yuping Wang. Integrating the simplified interpolation into the Genetic Algorithm for constrained optimization problems. In Computational Intelligence and Security, Part 1, Proceedings, Lecture Notes in Artificial Intelligence 3801, Springer-Verlag, 2005, 247-254.
16. Yan-Yan Tan, Yong-Chang Jiao, Hong Li, Xin-Kuan Wang. A modification to MOEA/D-DE for multiobjective optimization problems with complicated Pareto sets. Information Sciences, 2012, 213: 14-38.
17.Yuping Wang, Hong Li, and Chuangyin Dang. A new evolutionary algorithm for a class of nonlinear bilevel programming problems and its global convergence. INFORMS Journal on Computing, 2011, 23(4): 618-629.
18.Li Zhang, Yong-Chang Jiao, Hong Li, Fu-Shun Zhang. Antenna optimization by hybrid differential evolution. International Journal of RF and Microwave Computer-Aided Engineering, 2010, 20(1): 51-55.
19.Jie Gao, Hong Li, and Yong-Chang, Jiao. Modified Differential Evolution for the Integer Programming Problems. 2009 International Conference on Artificial Intelligence and Computational Intelligence (AICI2009), Vol.1, pp. 213-219, 2009.
20.Zhi Xu, Hong Li, Qi-zhong Liu and Jian-ying Li. Pattern synthesis of conformal antenna array by the hybrid genetic algorithm. Progress in Electromagnetics Research (PIER), 2008, 79: 75-90.
21.Yuping Wang, Yong-Chang Jiao and Hong Li. An evolutionary algorithm for solving nonlinear bilevel programming based on a new constraint-handing scheme.IEEE Trans. on Systems, Man, and Cybernetics-- Part C: Applications and Reviews, 2005, 35(2): 221-232.

Honors
In 2012, he obtainedthe second prize of the Shaanxi Science and Technology Award.

Teaching
CURRICULAR
Master Student
1. Foundation of Evolutionary Algorithms
2. Introduction to Operations Research
Undergraduate Student
1. Advanced Mathematics
2. Linear Algebra