【人物简介】

　　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博士学位。在国内外学术刊物和国际会议上发表论文20余篇，目前主持陕西省自然科学基础研究计划项目一项，参与国家自然科学基金项目一项。

【研究方向】

双层规划算法及其应用。

【研究成果】

【科研项目】

　　1. 陕西省自然科学基础研究计划项目(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》(K50511700004)，2011.6-2013.6，主持。 　　3. 国家自然科学基金项目《第三代无线网络规划新的优化模型及其可信智能优化方法研究》(60873099)，2009.1- 2011.12，主要参加者。 　　4. 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》(60374063)，2004.1-2006.12，主要参加者。

【论文著作】

　　[1] 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. 　　[2] 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. 　　[3] 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. 　　[4] 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. 　　[5] 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. 　　[6] 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. 　　[7] 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. 　　[8] 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. 　　[9] 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. 　　[10] 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. 　　[11] 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. 　　[12] 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. 　　[13] 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. 　　[14] 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. 　　[15] 李宏, 焦永昌, 张莉. 一种基于新改进的Price-算法的混合遗传算法求解约束优化问题. 工程数学学报, 2009, 26(2): 191-199. 　　[16] 李宏, 焦永昌, 张莉. 一种求解混合整数规划的混合进化算法. 控制与决策, 2008, 23(10): 1098-1102. 　　[17] 李宏, 焦永昌, 王宇平. 一种求解全局优化问题的新混合遗传算法. 控制理论与应用, 2007, 24 (3): 343-348. 　　[18] 李宏, 王宇平, 焦永昌. 基于正交遗传算法的非线性两层规划问题的解法.系统工程与电子技术, 2005, 27(10): 1752-1756. 　　[19] 李宏, 王宇平, 焦永昌. 一种基于进化算法的非线性两层规划的快速全局优化方法. 运筹与管理, 2005, 4: 35-39. 　　[20] 李宏, 王宇平, 焦永昌. 解非线性两层规划问题的新的遗传算法及全局收敛性. 系统工程理论与实践, 2005, 25(3): 62-71.