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师资队伍

陈功贵


1.个人简介

陈功贵,男,重庆邮电大学教授,硕士生导师。硕士毕业:华中科技大学计算机专业,博士毕业:华中科技大学电力系统及其自动化专业。发表SCI、EI收录和权威核心论文四十余篇,从事各种算法、软件编程方面的科研工作,方向一:计算机技术、控制技术、人工智能在电力系统优化与控制中的应用,方向二:人工智能,机器学习。潜心教学科研,关爱每一位学生,手把手教研究生写程序,期望研究生通过三年扎实学习,在导师指导下熟练掌握程序编写方法,既能达到硕士毕业的各项要求,又能毕业后为找到好的工作或继续深造奠定坚实的基础。

2.近期部分第一作者科研论文

[1] Chen G, Qian J, Zhang Z, et al. Application of Modified Pigeon-Inspired Optimization Algorithm and Constraint-Objective Sorting Rule on Multi-Objective Optimal Power Flow Problem[J]. Applied Soft Computing, Volume 92, July 2020, 106321 (SCI收录: Impact Factor: 4.873).

[2] Chen G, Li L, Zhang Z, et al. Short-Term Wind Speed Forecasting With Principle-Subordinate Predictor Based on Conv-LSTM and Improved BPNN[J]. IEEE Access, 2020(8):67955-67973. (SCI收录: Impact Factor: 4.098)

[3] Chen G, Li Z, Zhang Z, et al. An Improved ACO Algorithm Optimized Fuzzy PID Controller for Load Frequency Control in Multi Area Interconnected Power Systems[J]. IEEE Access, 2020(8):6429-6447. (SCI收录: Impact Factor: 4.098)

[4] Chen G, Qian J, Zhang Z, et al. Multi-Objective Optimal Power Flow Based on Hybrid Firefly-Bat Algorithm and Constraints-Prior Object-Fuzzy Sorting Strategy[J]. IEEE Access, 2019(7):139726-139745. (SCI收录: Impact Factor: 4.098)

[5] Chen G, Qian J, Zhang Z, et al. Applications of Novel Hybrid Bat Algorithm with Constrained Pareto Fuzzy Dominant Rule on Multi-objective Optimal Power Flow Problems[J]. IEEE Access, 2019(7):52060-52084. (SCI收录: Impact Factor: 4.098)

[6] Chen G, Yi X, Zhang Z, et al. Solving the Multi-Objective Optimal Power Flow Problem Using the Multi-Objective Firefly Algorithm with a Constraints-Prior Pareto-Domination Approach[J]. Energies, 2018,11(12):3438. (SCI收录: Impact Factor: 2.707)

[7] Chen G, Yi X, Zhang Z, et al. Applications of Multi-Objective Dimension-Based Firefly Algorithm to Optimize the Power Losses, Emission, and Cost in Power Systems[J]. Applied Soft Computing, 2018,68:322-342. (SCI收录: Impact Factor: 4.873)

[8] Chen G, Lu Z, Zhang Z. Improved Krill Herd Algorithm with Novel Constraint Handling Method for Solving Optimal Power Flow Problems[J]. Energies, 2018,11(1):76. (SCI收录: Impact Factor: 2.707)

[9] Chen G, Liu L, Zhang Z, et al. Optimal Reactive Power Dispatch by Improved GSA-Based Algorithm with the Novel Strategies to Handle Constraints[J]. Applied Soft Computing, 2017,50:58-70. (SCI收录: Impact Factor: 4.873)

[10] Chen G, Qiu S, Zhang Z, et al. Optimal Power Flow Using Gbest-Guided Cuckoo Search Algorithm with Feedback Control Strategy and Constraint Domination Rule[J]. Mathematical Problems in Engineering, 2017:9067520. (SCI收录: Impact Factor: 1.179)

[11] Chen G, Liu L, Guo Y, et al. Multi-objective Enhanced PSO Algorithm for Optimizing Power Losses and Voltage Deviation in Power Systems[J]. Compel International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2016,35(1):350-372. (SCI收录: Impact Factor: 0.705)

[12] Chen G, Liu L, Huang S. Enhanced GSA-Based Optimization for Minimization of Power Losses in Power System[J]. Mathematical Problems in Engineering, 2015:527128. (SCI收录:Impact Factor: 1.179)

[13] Chen G, Liu L, Song P, et al. Chaotic Improved PSO-based Multi-Objective Optimization for Minimization of Power Losses and L Index in Power Systems[J]. Energy Conversion and Management, 2014,86:548-560. (SCI收录:Impact Factor: 7.181)

[14] Chen G, Tian X, Zhang Z, et al. Parameter Optimization of PID Sliding Mode Controller for Hydraulic Turbine Regulating System Based on IFABC Algorithm[J]. Engineering Letters, 2020,28(1):168-179. (EI收录)

[15] Chen G, Chen J, Zhang Z, et al. Short-Term Wind Speed Forecasting Based on Fuzzy C-Means Clustering and Improved MEA-BP[J]. IAENG International Journal of Computer Science, 2019,46(4):1-9. (EI收录)

[16] Chen G, Qian J, Zhang Z, et al. Many-objective New Bat Algorithm and Constraint-Priority Non-Inferior Sorting Strategy for Optimal Power Flow[J]. Engineering Letters, 2019,27(4):882-892. (EI收录)

[17] Chen G, Cao J, Zhang Z, et al. Application of Imperialist Competitive Algorithm with Its Enhanced Approaches for Multi-Objective Optimal Reactive Power Dispatch Problem[J]. Engineering Letters, 2019,27(3):579-592. (EI收录)

[18] Chen G, Qian J, Zhang Z, et al. Multi-objective Improved Bat Algorithm for Optimizing Fuel Cost, Emission and Active Power Loss in Power System[J]. IAENG International Journal of Computer Science, 2019,46(1):118-133. (EI收录)

[19] Chen G, Yi X, Zhang Z, et al. Solving Optimal Power Flow Using Cuckoo Search Algorithm with Feedback Control and Local Search Mechanism[J]. IAENG International Journal of Computer Science, 2019,46(2):321-331. (EI收录)

[20] Chen G, Qiu S, Zhang Z, et al. Quasi-Oppositional Cuckoo Search Algorithm for Multi-Objective Optimal Power Flow[J]. IAENG International Journal of Computer Science, 2018,45(2):255-266. (EI收录)

[21] Chen G, Lu Z, Zhang Z, et al. Research on Hybrid Modified Cuckoo Search Algorithm for Optimal Reactive Power Dispatch Problem[J]. IAENG International Journal of Computer Science, 2018,45(2):328-339. (EI收录)

[22] Chen G, Du Y, Song P. Parameter Optimization of Hydro Turbine Governor PID Controller by Chaotic Improved PSO Algorithm[J]. Energy Education Science and Technology Part A: Energy Science and Research, 2014,32(5):3949-3962. (EI收录)

3.排名第一的授权专利

[1]基于模糊自适应的DEPSO算法的水轮机调速器参数优化方法2017.07.28

[2]一种多目标有功调度求解方法及系统 2017.12.19

4.招生学科

控制科学与工程、电气工程、控制工程

5.联系方式

Email:chengonggui@qq.com

移动电话:15696106539

备注: 欢迎电气、自动化、计算机等相关专业的本科生报考!招生要求:能够潜心做研究,有一定编程经验,英语成绩好

地址:重庆市南岸区崇文路2号 重庆邮电大学自动化学院/工业互联网学院 邮编:400065 电话:023-62461770