周晓君

教授 博士生导师 硕士生导师

入职时间:2014-12-23

所在单位:自动化学院

学历:博士研究生毕业

办公地点:中南大学校本部民主楼316

性别:男

联系方式:+86-13787052648

学位:博士学位

在职信息:在职

毕业院校:澳大利亚联邦大学

学科:控制科学与工程
人工智能

学术报告

发布时间:2020-08-16

点击次数:

the International Conference on Digital Manufacturing & Automation (ICDMA2011), Initial version of state transition algorithm, 8/5-8/7, 2011, 中国张家界, IEEE Computer Society, 分会场报告.

The 2nd International Conference on Intelligent Control and Information Processing (ICICIP2011), A new transformation into state transition algorithm for finding the global minimum, 7/25-7/28, 中国哈尔滨,IEEE Computer Society,分会场报告.

Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA2013), A comparative study of state transition algorithm with harmony search and artificial bee colony, 7/12-7/14, 2013, 中国黄山, 安徽理工大学 , 分会场报告.

the 31st Chinese Control Conference (CCC2012) , State transition algorithm for traveling salesman problem, 7/25-7/27, 2012, 中国合肥,中国自动化学会控制理论专业委员(TCCT)主办,分会场报告

the 33rd Chinese Control Conference (CCC2014), State transition algorithm for constrained optimization problems7/28-7/30, 2014,中国南京,中国自动化学会控制理论专业委员(TCCT)主办,分会场报告

the 35th Chinese Control Conference (CCC2016), A matlab toolbox for continuous state transition algorithm, 7/27-7/29, 2016,中国成都, 中国自动化学会控制理论专业委员(TCCT)主办,分会场报告

The 2013 World Congress on Global Optimization (WCGO2013), A multiobjective state transition algorithm for single machine scheduling, 7/7-7/12, 2013, 中国黄山, The International Society of Global Optimization (iSoGO),分会场报告

12th World Congress on Intelligent Control and Automation (WCICA2016) A comparative study of STA on large scale global optimization, 6/12-6/15, 2016,中国桂林,IEEE Control Systems Society, 分会场报告

5th IFAC Workshop on Mining, Mineral and Metal Processing(MMM 2018) Feature selection in froth flotation for production condition recognition, 8/23-8/25, 2018, 中国上海,International Federation of Automatic Control (IFAC), 分会场报告

2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019), Data-driven based state transition algorithm for dynamic optimization, 12/6-12/9, 2019, 中国厦门,IEEE Computational Intelligence Society, 分会场报告


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