刘静

个人信息:Personal Information

教授 博士生导师 硕士生导师

性别:女

学历:博士研究生毕业

学位:博士学位

在职信息:在职

所在单位:人工智能学院

所属院系: 人工智能学院

学科:计算机科学与技术 模式识别与智能系统

办公地点:北校区主楼III-409

联系方式:neouma@mail.xidian.edu.cn

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IEEE Congress on Evolutionary Computation 2019

Wellington, New Zealand

June 10-13, 2019

Special Session on Complex Networks and Evolutionary Computation

 

  Introduction to the special session:

       The application of complex networks to evolutionary computation (EC) has received considerable attention from the EC   community in recent years. The most well-known study should be the attempt of using complex networks, such as small-world   networks and scale-free networks, as the potential population structures in evolutionary algorithms (EAs). Structured populations   have been proposed to as a means for improving the search properties because several researchers have suggested that EAs   populations might have structures endowed with spatial features, like many natural populations. Moreover, empirical results   suggest that using structured populations is often beneficial owing to better diversity maintenance, formation of niches, and     lower  selection pressures in the population favouring the slow spreading of solutions and relieving premature convergence and   stagnation. Moreover, the study of using complex networks to analyse fitness landscapes and designing predictive problem   difficulty measures is also attracting increasing attentions. On the other hand, using EAs to solve problems related to complex     networks, such as community detection, is also a popular topic.

  Scope and Topics:

       This special session seeks to bring together the researchers from around the globe for a creative discussion on   recent advances and challenges in combining complex networks and EAs. The special session will focus on, but not   limited to, the following topics:

  1. Complex networks and fitness landscape analysis

  2. Complex networks and problem difficulty prediction

  3. Evolutionary dynamics on complex networks

  4. Evolutionary algorithms based on complex networks

  5. Community detection using evolutionary algorithms

  6. Community detection using multi-objective evolutionary algorithms

  7. Real world applications of evolutionary algorithms based on complex networks

  Keywords:

       Complex networks, Evolutionary algorithms, Problem difficulty, Community detection, Evolutionary dynamics

  Special Session Organizer:

    Name: Jing Liu1, Wenbo Du2, Xingyi Zhang3
    1 Affiliation: Xidian University, China
    2 Affiliation: Beihang University, China
    3 Affiliation: Anhui University, China

     Prof. Jing Liu received the Ph.D. degree from Xidian University in 2004. In 2005, she joined Xidian University as  a      lecturer, and was  promoted to a full professor in 2009. From Apr. 2007 to Apr. 2008, she worked in The  University of         Queensland, Australia as a postdoctoral research fellow, and from Jul. 2009 to Jul. 2011, sh  worked in University  of  New      South Wales as the Australian Defence Force Academy as a research associate. Her  research interests  include      evolutionary computation, complex networks, and data mining. She has co-authored  more than 100 research  papers      which were published by international journals and conferences. 
     Email: neouma@mail.xidian.edu.cn
     Home page: http://see.xidian.edu.cn/faculty/liujing/

     Dr. Wenbo Du received the Ph.D. degree from University of Science and Technology of China in 2010. In 2011 ,he             joined      Beihang University as an associate professor. From Mar. 2015 to Mar. 2016, he worked in University of      New South      Wales at the Australian Defence Force Academy as a visiting scholar. His research interests include      complex network,  network dynamics and evolutionary  computation. He has published over 50 journal and  conference      papers. Now he  served as a young Academic Editor of Frontiers of  Computer Science, and Editorial  Board of Journal      of Airline  and  Airport Management. 
     Email: wenbodu@buaa.edu.cn

     Prof. Xingyi Zhang received the B.Sc. degree from Fuyang Normal College, Fuyang, China, in 2003, and the  M.Sc. and      Ph.D. degrees  from Huazhong University of Science and Technology, Wuhan, China, in 2006 and 2009, respectively.  He      is currently a Professor  with the School of Computer Science and Technology, Anhui University,  Hefei, China. His  current      research interests include  unconventional models and algorithms of computation, multi-objective  optimization,  and      membrane computing. He is the recipient of the 2017 IEEE Transactions on Evolutionary Computation Outstanding  Paper      Award.
     Email: xyzhanghust@gmail.com

 

 

Prof. Jing Liu With Her Group 
School of Artificial Intelligence, 
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