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陈旭

发布时间:2018-01-15 浏览量:

陈旭

博士、讲师、硕士生导师

邮箱:xuchen@ujs.edu.cn

地址:江苏大学电气学院418室

 

工作、学习经历:

2015.07~: 江苏大学,电气信息工程学院,讲师

2018.07~2018.08: Glasgow Caledonian University, Scotland,访问学者

2016.01~2018.12: 江苏大学,电气信息工程学院,博士后

2010.09~2015.06: 华东理工大学,信息科学与工程学院,博士学位

2006.09~2010.06: 江苏大学,理学院,学士学位

 

研究兴趣

进化算法、群体智能优化、多目标优化、动态优化

能源系统优化、光伏系统建模、电力系统调度

复杂工业过程智能建模、控制与优化

 

科研项目

生物地理迁移启发的综合学习粒子群算法及其应用,江苏省自然科学基金 (BK20160540,2016-2019)

面向动态系统优化的进化计算理论与方法研究,化工过程先进控制和优化技术教育部重点实验室开放基金课题,(2017ACOCP05,2017-2018)

新型迁移综合学习粒子群优化及其在最优控制中的应用,中国博士后基金 (2016M591783,2016-2018)

 

学术成果

[1] Xu Chen*, Bin Xu, Congli Mei,Yuhan Ding, Kangji Li. Teaching-learning-based artificial bee colony for solar photovoltaic parameter estimation. Applied Energy, 2018, 212:1578-1588. (IF=7.90)

[2] Xu Chen*, Congli Mei, Bin Xu, Kunjie Yu, Xiuhui Huang. Quadratic interpolation based teaching-learning-based optimization for chemical dynamic system optimization. Knowledge-Based Systems, 2018, 145: 250-263. (IF=4.39)

[3] Xu Chen*, Bin Xu, and Wenli Du. An improved particle swarm optimization with biogeography-based learning strategy for economic dispatch problems. Complexity 2018 (IF=1.83)

[4] Bin Xu*, Xu Chen, and Lili Tao. Differential evolution with adaptive trial vector generation strategy and cluster-replacement-based feasibility rule for constrained optimization. Information Sciences 435 (2018): 240-262. (IF=4.30)

[5] Xu Chen*, Huaglory Tianfield, Congli Mei, Wenli Du, Guohai Liu Biogeography-based learning particle swarm optimization. Soft Computing, 2017, 21 (24):7519–7541. (IF=2.47).

[6] Yu Kunjie, Xu Chen, Xin Wang, and Zhenlei Wang*. Parameters identification of photovoltaic models using self-adaptive teaching-learning-based optimization. Energy Conversion and Management 2017 (145): 233-246. (IF= 6.38)

[7] 陈旭*, 梅从立, 徐斌, 等. 一种求解过程动态优化问题的生物地理学习粒子群算法. 化工学报, 2017, 68(8): 3161-3167.

[8] Xu Chen*, Kunjie Yu, Wenli Du, Wenxiang Zhao, Guohai Liu. Parameters identification of solar cell models using generalized oppositional teaching learning based optimization. Energy, 2016, 99:170-180 (IF=4.52)

[9] Xu Chen*, Huaglory Tianfield, Wenli Du, Guohai Liu. Biogeography-based optimization with covariance matrix based migration. Applied Soft Computing, 2016,45:71-85. (IF= 3.54).

[10] Xu Chen, Wenli Du*, Feng Qian. Solving chemical dynamic optimization problems with ranking-based differential evolution algorithms. Chinese Journal of Chemical Engineering, 2016, 24(11):1600–1608. (IF= 1.17)

[11] Xu Chen, Wenli Du*, Huaglory Tianfield, Rongbin Qi, Wangli He, Feng Qian. Dynamic optimization of industrial processes with nonuniform discretization-based control vector parameterization. IEEE Transactions on Automation Science and Engineering, 2014, 11(4): 1289-1299. (SCI, IF= 2.43)

[12] Xu Chen, Wenli Du*, Feng Qian. Multi-objective differential evolution with ranking-based mutation operator and its application in chemical process optimization. Chemometrics and Intelligent Laboratory Systems, 2014, 136: 85-96. (IF=2.32)

[13] Xu Chen, Wenli Du, Rongbin Qi, Feng Qian, and Huaglory Tianfield. Hybrid gradient particle swarm optimization for dynamic optimization problems of chemical processes. Asia-Pacific Journal of Chemical Engineering 2013,8 (5): 708-720. (IF= 0.62)

 

教授课程

过程控制工程

自动化工具软件

 

审稿人

担任《Swarm and Evolutionary Computation》、《Soft Computing》、《Knowledge-Based Systems》、《Neurocomputing》、《Neural Computing & Applications》、《Advances in Engineering Software》、《Energy Conversion & Management》、《化工学报》、ICSI、CCC、CPCC等国内外学术期刊和会议的审稿人。