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教授
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  • 姓名:高兴宝
  • 性别:男
  • 职称:教授
  • 职务:
  • E-mail:xinbaog@snnu.edu.cn
  • 工作室:文津楼二段二层2209
性别 职称 教授
职务 邮箱 xinbaog@snnu.edu.cn
工作室 文津楼二段二层2209

基本情况

1988年和1991年在陕西师范大学数学系分别获获理学学士学位和计算数学硕士学位,2000年获西安电子科技大学应用数学系博士学位;多次到香港浸会大学等院校从事神经计算的合作研究。

先后主持国家自然科学基金2项,省自然科学基础计划1项;主要参与国家及省基金5项。主要从事最优化理论与算法、神经网络、进化计算的研究工作。提出了多种求解非线性规划和变分不等式问题的神经网络模型、多种解数值优化的智能方法,在IEEE Trans. Neural Netw. Learn. Syst (IEEE Trans. Neural Netw.), Information Sciences, Knowledge-Based System, Computers and Chemical Engineering, Swarm and Evolutionary Computation, Neural Computation, Neurocomputing, Applied Soft Computing等刊物和国际国内学术会议上发表学术论文60 余篇.

代表性学术论文

  • 1. Xingbao Gao, Exponential stability of globally projected dynamic systems. IEEE Trans. Neural Netw., 2003,14(2):426-43

  • 2. Xingbao Gao, A novel neural network for nonlinear convex programming. IEEE Trans. Neural Netw., 2004, 15(3):613-621

  • 3.Xingbao Gao, Li-Zhi Liao & Weimin Xue, A neural network for a class of convex quadratic minimax problems with constraints. IEEE Trans. Neural Netw., 2004, 15(3):622-628

  • 4.Xingbao Gao, Li-Zhi Liao & Liqun Qi, A novel neural network for variational inequalities with linear and nonlinear constraints. IEEE Trans. Neural Netw., 2005, 16(6):1305-1317

  • 5. Xingbao Gao & Li-Zhi Liao, A novel neural network for a class of convex quadratic minimax problems. Neural Computation, 2006, 18(8):1818-1846

  • 6. Xingbao Gao & Li-Zhi Liao, A new projection-based neural network for constrained variational inequalities. IEEE Trans. Neural Netw., 2009, 20(3):373-388

  • 7.Xingbao Gao & Li-Zhi Liao, A new one-layer neural network for linear and quadratic programming. IEEE Trans. Neural Netw., 2010, 21(6):918-929

  • 8.Xingbao Gao & Li-Zhi Liao,Stability and convergence analysis for a class of neural networks. IEEE Trans. Neural Netw., 2011, 22(11):1770-1782

  • 9.Xingbao Gao & Lizhi Liao, A novel neural network for generally constrained variational inequalities. IEEE Trans. Neural Netw. Learn. Syst., 2017, 28(9): 2062- 2075

  • 10.Mengnan Tian & Xingbao Gao*, Differential evolution with neighborhood-based adaptive evolution mechanism for numerical optimization. Information Sciences, 2019, 478:422-448


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