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肖赤心副教授主页

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| 基本信息 | 个人简介| 主讲课程| 研究方向| 科研成果| 著作| 主要代表性论文

基本信息

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姓名:肖赤心
职称:副教授
电话:
电子信箱:chixinxiao@hotmail.com
办公室:工科楼N413
个人主页:欢迎访问肖赤心个人主页

个人简介

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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.
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主讲课程

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Compiler Principle and Application, Artificial Intelligence
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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 application as well as Power System Optimization
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科研成果

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Students and Candidates:

Current Students:
Mr. Zhigang Xue(09/2013)

Mr. Mingyu Yi (09/2014)
Mr. Wenjie Shu (09/2014)Mr. Hui Pan (09/2015) Candidates:
FormerStudents:
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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
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主要代表性论文

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Selected Publications:
Constrained multi-objective evolutionary algorithm based on decomposition for environmental/economic dispatch, in Computational Intelligence in Control and Automation (CICA), 2014 IEEE Symposium on Computational Intelligence , 12-2014, Orlando,Florida,U.S.A.,pp. 1–8.

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.

Presentations:
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.
Skills:
Development: 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 skills

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