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高卫峰

副教授
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基本信息

教师姓名: 高卫峰
教师拼音名称: GWF
所在单位: 数学与统计学院
学历: 博士研究生毕业
性别:
学位: 理学博士学位
职称: 副教授
在职信息: 在职
毕业院校: 西安电子科技大学
是否在职:
博士生导师 博士生导师
硕士生导师 硕士生导师
学科: 应用数学
所属院系: 数学与统计学院

联系方式

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个人简介

. / Personal Profile

高卫峰, 博士,副教授,博士生导师,硕士生导师。

教育经历:

2004.08-2008.07   西安电子科技大学      学士

2008.08-2013.12   西安电子科技大学      博士                   导师:刘三阳

2012.08-2013.08   俄克拉荷马州立大学   联合培养博士生  合作导师:Gary G. Yen

工作经历:

2014.03-2014.12   中国石油大学(华东)     讲师

2015.01-2017.07   中国石油大学(华东)     副教授

2017.08-至今        西安电子科技大学             副教授

2018.01-至今        香港城市大学                    香江学者   合作导师:张青富

研究简况:

一直从事计算智能理论及其应用的研究,在高性能智能优化算法设计方面,取得了若干有意义的结果。发表学术论文30余篇,其中JCR一区20;以第一作者发表的论文被SCI他引800余次,被Google Scholar引用1800余次H指数为171篇论文入选ESI热点论文4篇论文入选ESI高被引论文3篇论文分别获Computers & Operations Research、Journal of Computational and Applied Mathematics 和Information Processing Letters 近5年“Most Cited Article”国际论文奖,得到了四十多个国家和地区的国际同行的好评。入选陕西省青年百人计划香江学者计划陕西省高校科协青年人才托举计划西安电子科技大学华山学者菁英人才计划;获第十二届陕西青年科技奖、第八届吴文俊人工智能优秀青年奖、2017年陕西省科学技术一等奖、2016年陕西省高等学校科学技术一等奖1项。主持国家自然科学基金(面上和青年项目)、省自然科学基金等十余项科研项目。

Google Scholar: https://xueshu.glgoo.org/citations?user=6hVUbUcAAAAJ&hl=zh-CN&oi=ao

主持科研项目:

1. 融合学习机制的人工蜂群算法在阵列天线综合中应用的研究,国家自然科学基金面上项目,2018.01-2021.12;

2. 基于人工蜂群算法求解多模态优化问题研究,国家自然科学基金青年基金,2015.01-2017.12;

3. 进化计算的理论和算法,香江学者博士后基金,2018.01-2020.01;

4. 两类复杂优化问题的高效求解算法研究,陕西省自然科学基础研究计划,2018.01-2019-12;

5. 基于知识学习的差分进化算法在复杂优化问题中的研究,山东自然科学基金青年基金,2014.12-2017.12;

6. 大数据优化建模的人工蜂群算法研究,青岛市科技计划项目, 2015.09 -2017.09;

7. 西安电子科技大学“华山学者”菁英人才计划启动基金,2017.01- 2019.12。

主要学术论文:

[1] Weifeng Gao, Hailong Sheng, Jue Wang, and Shouyang Wang. Artificial bee colony algorithm based on novel mechanism for fuzzy portfolio selection, IEEE Transactions on Fuzzy Systems, Early Access, 2018 . (IF: 8.415)

[2] Weifeng Gao, Sanyang Liu, Lingling Huang. A novel artificial bee colony algorithm based on modified search equation and orthogonal learning, IEEE Transactions on Cybernetics, 43 (3), 1011-1024, 2013. (IF: 7.384, 被引200, ESI高被引论文)

[3] Weifeng Gao, Gary G. Yen, Sanyang Liu. A cluster-based differential evolution with self-adaptive strategy for multimodal optimization, IEEE Transactions on Cybernetics, 44 (4), 1314 -1327, 2014. (IF: 7.384, 被引50)

[4] Weifeng Gao, Gary G. Yen, Sanyang Liu. A dual-population differential evolution with coevolution for constrained optimization, IEEE Transactions on Cybernetics, 45 (5), 1094-1107, 2015. (IF: 7.384, 被引36)

[5] Weifeng Gao, Lingling Huang, Sanyang Liu, Cai Dai. Artificial bee colony algorithm based on information learning, IEEE Transactions on Cybernetics, 45(12), 2827-2839, 2015. (IF: 7.384, 被引47)

[6] Weifeng Gao, Sanyang Liu, Lingling Huang. A global best artificial bee colony algorithm for global optimization, Journal of Computational and Applied Mathematics, 236(11), 2741-2753, 2012. (IF: 1.357, 被引289, ESI热点论文和高被引论文)

[7] Weifeng Gao, Sanyang Liu. A modified artificial bee colony algorithm, Computers & Operations Research, 39(3), 687-697, 2012. (IF: 2.600, 被引446, ESI高被引论文)

[8] Weifeng Gao, Sanyang Liu. Improved artificial bee colony algorithm for global optimization, Information Processing Letters, 111(17), 871-882, 2011. (IF: 0.843, 被引301, ESI高被引论文)

[9] Weifeng Gao, Zhifang Wei, Yuting Luo and Jin Cao. Artificial bee colony algorithm based on Parzen window method, Applied Soft Computing, Accept (2018.10). (IF: 3.907)

[10] Weifeng Gao, F.T.S. Chan, Lingling Huang, Sanyang Liu. Bare bones artificial bee colony algorithm with parameter adaptation and fitness-based neighborhood, Information Sciences, 316, 180-200, 2015. (IF: 4.832, 被引38)

[11] Weifeng Gao, Sanyang Liu, Lingling Huang. Enhancing artificial bee colony algorithm using more information-based search equations, Information Sciences, 270 (20), 112-133, 2014. (IF: 4.832, 被引96)

[12] Weifeng Gao, Sanyang Liu, Lingling Huang. A novel artificial bee colony algorithm with Powell's method, Applied Soft Computing, 13(9), 3763-3775, 2013. (IF: 3.907, 被引100)

[13] Weifeng Gao, Lingling Huang, Jue Wang, Sanyang Liu, Chuandong Qin. Enhanced artificial bee colony algorithm through differential evolution, Applied Soft Computing, 48, 137-150, 2016. (IF: 3.907, 被引17)

[14] Weifeng Gao, Lingling Huang, Sanyang Liu, F.T.S. Chan, Cai Dai, Xian Shan. Artificial bee colony algorithm with multiple search strategies, Applied Mathematics and Computation, 271, 269-287, 2015. (IF: 1.738, 被引28)

[15] Weifeng Gao, Sanyang Liu, Lingling Huang. Particle swarm optimization with chaotic opposition-based population initialization and stochastic search technique, Communications in Nonlinear Science and Numerical Simulations, 17(11), 4316-4327, 2012. (IF: 2.866, 被引65)

[16] Weifeng Gao, Sanyang Liu, Fei Jiang. An improved artificial bee colony algorithm for directing orbits of chaotic systems, Applied Mathematics and Computation, 218 (7), 3868-3879, 2011. (IF: 1.738, 被引38)

[17] Weifeng Gao, Gary G. Yen, Sanyang Liu. A novel differential evolution for constrained optimization, 2014 IEEE International Conference on Systems, Man, and Cybernetics October 5-8, 2014, San Diego, CA, USA. (EI)

[18] Weifeng Gao, Sanyang Liu, Fei Jiang, Jianke Zhang. Hybrid artificial bee colony algorithm, Journal of Systems Engineering and Electronics, 33(5), 1167-1170, 2011. (In Chinese, 被引67)

[19] Weifeng Gao, Sanyang Liu. An efficient particle swarm optimization, Journal of Control and Decision, 26(8), 1158-1162, 2011. (In Chinese, 被引44)  

[20]Weifeng Gao, Sanyang Liu, Hehua Jiao, Chuandong Qin. Particle swarm optimization with search operator of artificial bee colony algorithm, Journal of Control and Decision,27(6), 833-838, 2012. (In Chinese, 被引29)

[21] Weifeng Gao, Sanyang Liu, Lingling Huang. Inspired artificial bee colony algorithm for global optimization problems, Acta Electronica Sinica, 40(12), 2396-2403, 2012. (In Chinese, 被引52)

[22] Jin Cao,  Pu Yu,  Maode Ma, Weifeng Gao. Fast authentication and data transfer scheme for massive NB-IoT devices in 3GPP 5G network, IEEE Internet of Things Journal, Early Access, 2018 . (IF: 5.863)

[23] Jian Wang, Zhenyun Ye, Weifeng Gao, Jacek M. Zurada. Boundedness and convergence analysis of weight elimination for cyclic training of neural networks, Neural Networks, 82, 49-61, 2016. (IF: 3.216)

[24] Laizhong Cui, Genghui Li, Qiuzhen Lin, Zhihua Du, Weifeng Gao, Jianyong Chen, Nan Lu. A novel artificial bee colony algorithm with depth-first search framework and elite-guided search equation, Information Sciences, 367, 1012-1044, 2016. (IF: 4.038)

[25] Lingling Huang, Sanyang Liu, Weifeng Gao. A modified projection method for solving co-coercive variational inequalities, Applied Mathematics and Computation, 217 (7), 3216-3225, 2010.

[26] Genghui Li, Qingfu Zhang, Weifeng Gao. Multipopulation evolution framework for multifactorial optimization, GECCO’18 Proceedings of the Genetic and Evolutionary Computation Conference Companion, Pages 215-216, Kyoto, Japan, July, 2018

[27] Lingling Huang, Sanyang Liu, Weifeng Gao. Differential evolution with the search strategy of artificial bee colony algorithm, Journal of Control and Decision, 27(11), 1644-1648, 2011. (In Chinese)

[28]Fei Jiang, Sanyang Liu, Jianke Zhang, Weifeng Gao. Control and synchronization of chaotic systems with synergy of bacterial foraging and differential evolution, Chinese journal of computational physics, 27(6), 933-939, 2010.

[29] Jianke Zhang, Sanyang Liu, Fei Jiang, Weifeng Gao. New robust optimization counterpart for linear optimization with uncertain data, Journal of Systems Engineering and Electronics, 33(1), 102-105, 2011. (In Chinese)






教育经历

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工作经历

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社会兼职

[1] 担任IEEE Transactions on Evolutionary Computation、IEEE Transactions on Cybernetics 等几十余SCI 期刊的审稿人。

团队成员

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[1]计算智能理论及其应用的研究、基于计算智能的大数据分析等

学术荣誉

/Academic honor

[1]陕西省“百人计划”入选者

招生信息

/ admission information

考试科目:

[1]

曾获荣誉

/ Was awarded the honor

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