肖赤心导师主页

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基本信息

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姓名: 肖赤心
职称: 副教授
单位电话:
电子信箱: chixinxiao@hotmail.com
办公室: 工科楼 N413
个人主页: https://sites.google.com/site/chixinxiao/home

个人简介

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个人简介

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中文简介：

中南大学人工智能工学博士（2009）；澳大利亚伍伦贡大学(The University of Wollongong)智能电网信息科学全职博士（2020 ）；曾先后在英国埃塞克斯大学（The University of Essex）从事多目标优化博士后研究工作(2010)，澳大利亚纽卡斯尔大学(The University of Newcastle)和悉尼大学（The University of Sydney）从事智能计算在智能电网的深度应用研究工作(2014)。研究方向：人工智能及其工业应用、智能电网、智能计算（依托大数据）。



English Simple Biography:

I joined the College of Information Engineering at Xiangtan University in July 2004. From 2005 to 2011, I had first studied at Central South University, where I was a P.H.D. candidate of Artificial Intelligence Institute, and then been researching at University of Essex, United Kingdom, as a postdoctoral fellow funded by China Scholarship Council until April 2011. After 2014, I have been cooperating formally with an Australia associated laboratory,the Centre for Intelligent Electricity Networks of AU, which is sponsored by the University of Newcastle and the University of Sydney. My current researches are mainly focused on bridging multi-objective evolutionary algorithms based on decomposition to power system optimization domain, besides that, serving professional intelligent algorithms for the Smart Grid. My research profile, which was written many years ago and should be updated, is here.

主讲课程

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Compiler Principle and Application, Artificial Intelligence

研究方向

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(计算机科学与技术)Research expertise:Evolutionary Computation and Application, e.g., Evolutionary Extreme Learning Machine(E-ELM),Evolving Neural Network;Machine Learning;Natural Language Processing was also my research interest. My current researches are mainly focused on Multi-Objective Optimization and its applications, particular in Power System and Power Market Optimization

研究方向

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Java, C/C++, C[Sharp], MATLAB, SQL, XML,Javascript,LaTex,object-oriented analysis and design, algorithm design, software configuration management, system administration in Linux flavors, excellent troubleshooting and debugging skillss

著作

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Research on Evolutionary Algorithms for High Dimensional Optimization and Their Applications. PhD Thesis submitted, College of Information Science and Engineering, Central South University,Changsha, Hunan, China, 2009



主要代表性论文

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Recent

[1] C. Xiao, D. Sutanto, K. M. Muttaqi, M. Zhang, K. Meng and Z. Y. Dong, "Online Sequential Extreme Learning Machine Algorithm for Better Predispatch Electricity Price Forecasting Grids," in IEEE Transactions on Industry Applications, vol. 57, no. 2, pp. 1860-1871, March-April 2021, doi: 10.1109/TIA.2021.**.
[2] C. Xiao, D. Sutanto, K. M. Muttaqi and M. Zhang, "A Judicious Decision-Making Approach for Power Dispatch in Smart Grid Using a Multiobjective Evolutionary Algorithm Based on Decomposition," in IEEE Transactions on Industry Applications, vol. 56, no. 2, pp. 1918-1929, March-April 2020, doi: 10.1109/TIA.2019.**.
[3] C. Xiao, D. Sutanto, K. M. Muttaqi, and M. Zhang, “Multi-period data driven control strategy for real-time management of energy storages in virtual power plants integrated with power grid,” International Journal of Electrical Power & Energy Systems, vol. 118, p. 105747, Jun. 2020, doi: 10.1016/j.ijepes.2019.105747.
[4] C. Xiao, Z. Dong, Y. Xu, K. Meng, X. Zhou, and X. Zhang, “Rational and self-adaptive evolutionary extreme learning machine for electricity price forecast,” Memetic Computing, vol. 8, no. 3, pp. 223–233, 2016.
Before 2009

A Good Nodes Set Evolution Strategy for Constrained Optimization. 2007 IEEE Congress of Evolutionary Computation,09-2007,Singapore, 943-950.
An Evolutionary Strategy Based on Lexicographic Order for Combinational Problem. Control Theory and Applications. Vol.27,No.4, 2010:473~481.
A Constrained Optimization Evolutionary Algorithm Based on Good Lattice Points Principle. Control and Decision. Vol.24, No.2,2009:249~254.
High Dimensional Evolutionary Strategy for Tuning the Structure and Parameters of a Neural Network. Journal of Chinese Computer Systems. Vol.29, No.12, 2008.
The Application of Evolutionary Strategy to Negative Selection Algorithm. Journal of Chinese Computer Systems. Vol.29, No.11, 2008:2091~2094.
Tuning of the Structure and Parameters of a Neural Network Using a Hybrid Good Point Set Evolutionary Strategy. Natural Computation(ICNC) 2009,Tianjin,Volume 4,492-496.



学术交流

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Constrained Multi-objective Evolutionary Algorithm Based on Decomposition for Environmental/Economic Dispatch. 2014 Symposium Series on Computational Intelligence,Orlando,Florida,U.S.A.(As the chair of CICA'14 Session 4: Evolutionary Computation in Control and Automation)


A Good Nodes Set Evolution Strategy for Constrained Optimization. 2007 IEEE Congress of Evolutionary Computation,September 2007,Singapore.