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淮北师范大学物理与电子信息学院导师教师师资介绍简介-邹锋
/2021-05-01
邹 锋 个 人 简 历
姓 名:邹锋
学 位:工学博士
职 称:副教授 研究方向:智能计算
E-mail:zfemail@163.com
1、个人简介:
邹锋,博士,副教授、硕士生导师。1998 年至 2002 年就读于湖北民族学院理学院物理学专业,获理学学士学位,2004 年 9 月至 2007 年 6 月,在五邑大学信息学院交通信息工程
及控制专业学习,获工学硕士学位,2011 年 9 月至 2015 年 1 月,在西安理工大学自动化学
院控制理论与控制工程专业学习,获工学博士学位。2017 年 9 月至 2018 年 6
月在同济大学做访问学者。主要从事进化计算、人工智能、多目标优化、动态环境下的优化等研究工作。以第一作者与通讯作者身份发表的科研论文 20 余篇,其中 SCI/EI 收录 20 余篇。
2、承担的科研项目:
主持国家自然科学基金青年基金项目 1 项、安徽省自然科学基金面上项目 1 项、安徽省
高校自然科学基金项目 1 项、安徽省优秀青年人才基金项目 1 项,参加项目有国家自然科学
研究项目 3 项、安徽省自然科学基金项目 2 项等。
1)安徽省自然科学基金面上项目:离散教学多目标优化及在个性化推荐中的应用研究;批准号:1708085MF140;起止年月 2017.7-2019.6。(主持)
2)安徽省高校自然科学研究重点项目:教学演化聚类算法及其应用研究;批准号: KJ2016A639;起止年月 2016.1-2018.12。(主持)
3)国家自然科学基金青年项目:协同教学优化算法及其应用研究;批准号:61304082;起止年月 2014.1-2016.12。(主持)
4)安徽省优秀青年人才基金项目:基于人工生物网络的多目标优化问题研究;批准号:
2010SQRL081;起止年月 2010.1-2011.4。(主持)
3、承担的教研项目:
安徽省高等学校省级教学研究项目--卓越计划模式下数字信号处理课程教学改革的探索和实践(2016jyxm0929)
淮北师范大学校级质量工程项目校级教学研究重点项目--卓越计划模式下数字信号处理课程教学改革的探索和实践(jy2016110)
4、科研成果
已发表的智能计算、多目标优化及其应用方面的著作有:
[1] Feng Zou(邹锋), Debao Chen*, Renquan Lu, Suwen Li, Lehui Wu. Teaching–learning-based
optimization with differential and repulsion learning for global optimization and
nonlinear modeling, Soft Computing, 2017, DOI:10.1007/s00500-017-2722-4 (SCI3区)
[2] Feng Zou, Debao Chen*, Renquan Lu. Hybrid Hierarchical Backtracking Search
Optimization Algorithm and Its Application. Arabian Journal for Science & Engineering,
2018, 43(2): 993–1014. (SCI4区)
[3] Lehui Wu, Feng Zou*, Debao Chen. Discrete Teaching-learning-based
optimization Algorithm for Traveling Salesman Problem. MATEC Web of Conferences, 2017, 128, 02022.
(EI)
[4] Feng Zou, Debao Chen*, Suwen Li, et al. Community detection in complex networks:
Multi-objective discrete backtracking search optimization algorithm with decomposition.
Applied Soft Computing, 2017, 53:285-295. (SCI2区)
[5] Feng Zou, Debao Chen*, Renquan Lu, et al. Hierarchical multi-swarm
cooperative teaching-learning -based optimization for global optimization. Soft Computing. 2017,
21(23): 6983-7004 (SCI3区)
[6] Debao Chen, Feng Zou*, Renquan Lu, et al. Multiobjective discrete teaching-learning-based
optimization based on decomposition for community detection. Information Sciences. 2016, 369:
402-418. (SCI2区)
[7] Debao Chen, Feng Zou*, Jiangtao Wang, et al. SAMCCTLBO: a multi-class cooperative
teaching–learning-based optimization algorithm with simulated annealing. Soft Computing,
2016, 20(5):1921-1943. (SCI3区)
[8] Feng Zou, Debao Chen, Jiangtao Wang. An Improved
Teaching-Learning-Based Optimization with the Social Character of PSO for Global
Optimization. Computational Intelligence and Neuroscience, Vol. 2016, Article ID 4561507, 1-10
(SCI4区)
[9] Feng Zou, Lei Wang*, Xinhong Hei, Debao Chen. Teaching–learning-based optimization
with learning experience of other learners and its application. Applied Soft Computing, 2015, 37:
725–736. (SCI2区)
[10] Feng Zou, Lei Wang*, Debao Chen, Xinhong Hei. An Improved Teaching-Learning-Based
Optimization with Differential Learning and Its Application. Mathematical Problems in
Engineering, Volume 2015, Article ID 754562, 19 pages. (SCI4区)
[11] Feng Zou, Lei Wang*, Xinhong Hei, et al. Teaching–learning-based optimization with
dynamic group strategy for global optimization. Information Sciences, 2014, 273, 112-131.
(SCI2区)
[12] Lei Wang, Feng Zou *, Xinhong Hei, et al. A hybridization of
teaching-learning-based optimization and differential evolution for chaotic time series prediction.
Neural Computing and Applications, 2014, 25(6): 1407-1422. (SCI3区)
[13] Lei Wang, Feng Zou*, Dongdong Yang, et al. An improved
teaching-learning-based optimization with neighborhood search for applications of ANN.
Neurocomputing, 2014, 143, 231-247. (SCI3区)
[14] Feng Zou, Lei Wang*, Xinhong Hei, et al. Bare bones teaching-learning-based optimization.
Scientific World Journal, Volume 2014, Article ID 136920, 17 pages. (SCI3区)
[15] Feng Zou, Lei Wang*, Xinhong Hei, et al. Multi-objective
optimization using teaching-learning-based optimization algorithm. Engineering
Applications of Artificial Intelligence, 2013, 26(4): 1291-1300. (SCI3区)
[16] Feng Zou, Lei Wang*, Xinhong Hei, Qiaoyong Jiang, and Dongdong
Yang. Teaching-Learning-Based Optimization Algorithm in Dynamic Environments //Swarm,
Evolutionary, and Memetic Computing. Springer International Publishing, Lecture Notes in Computer
Science, Volume 8297, 2013: 389-400. (EI)
[17] 邹锋, 陈得宝. 一种人工内分泌多目标微粒群方法. 计算机工程与应用, 2011, 47(4):50-52
[18] 邹锋, 陈得宝, 王江涛. 基于不可行度和内分泌原理的多目标粒子群方法. 计算机应用,
2010, 30(7):1885-1888.
[19] Debao Chen, Feng Zou,* J. T. Wang. A multi-objective endocrine PSO algorithm and
application. Applied Soft Computing, 2011, 11(8): 4508-4520 (SCI2 区)
[20] Debao Chen, Feng Zou, Renquan Lu, et al. Learning Backtracking Search Optimisation
Algorithm and Its Application. Information Sciences, 2017, 376, 71-94. (SCI2 区)
[21] Debao Chen, Feng Zou, Zheng Li, Jiangtao Wang, Suwen Li, An
improved teaching-learning-based optimization algorithm for solving global optimization
problem, Information Sciences, 2015,297:171–190 (SCI2区)
[22] Debao Chen, Feng Zou, Jiangtao Wang,Wujie Yuan. A teaching–learning-based optimization
algorithm with producer–scrounger model for global optimization. soft computing, 2015,
19(3):745-763 (SCI3 区)
[23] Debao Chen, Jing Chen, Hao Jiang, Feng Zou,Tundong Liu. An Improved PSO Algorithm Based on
Particle Exploration for Function Optimization and the Modeling of Chaotic Systems, Soft
computing, 2015, 19(11): 3071-3081 (SCI3 区)
[24] Debao Chen, Jiangtao Wang, Feng Zou, Wujie Yuan, Weibo Hou. Time series prediction with
improved neuro-endocrine model. Neural Computing & Applications, 2014, 24(6):
1465-1475 (SCI3 区)
[25] Debao Chen, Jiangtao Wang, Feng Zou, Haofeng Zhang, Weibo Hou. Linguistic fuzzy model
identification based on PSO with different length of particles. Applied Soft Computing, 2012,
12(11): 3390-3400 (SCI2 区)
[26] Debao Chen, Jiangtao Wang, Feng Zou, W. B. Hou, C. X. Zhao. An improved group search optimizer
with operation of quantum-behaved swarm and its application. Applied Soft Computing,
2012,12(1):712-725 (SCI2 区)
[27] Chen Debao, Zou Feng. A Multi-objective Endocrine PSO Algorithm. The first international
conference on information science and engineering, 2009, 12, NanJing China (EI)
5、获奖:
1)陕西省优秀博士学位论文:《教学优化算法若干改进及其应用研究》,2017 年 12 月。
2) 安徽省自然科学优秀学术论文:An improved group search optimizer with operation of quantum-behaved swarm and
its application(陈得宝、邹锋、王江涛)三等奖,2016 年 1 月。
3)安徽省教学成果奖一等奖,排名第六,2015 年 11 月。
4)淮北师范大学教学成果奖特等奖,排名第六,2015 年 10 月。