Teaching Publications Awards


IEEE World Congress on Computational Intelligence

25-29 July 2016, Vancouver, Canada

Special Session on Complex Networks and Evolutionary Computation

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:

  • Complex networks and fitness landscape analysis

  • Complex networks and problem difficulty prediction

  • Evolutionary dynamics on complex networks

  • Evolutionary algorithms based on complex networks

  • Community detection using evolutionary algorithms

  • Community detection using multi-objective evolutionary algorithms

  • Real world applications of evolutionary algorithms based on complex networks

Important Dates and Paper Submission:


Please have a look at the IEEE WCCI 2016 Web site here.


Special Session Organizer:

Jing Liu,  Maoguo Gong

Xidian University, Xi'an 710071,  Shaanxi, China.

Prof. Jing Liu (Home Page) 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, she 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 70 research papers which were published by international journals and conferences.

Prof. Maoguo Gong (Home Page) received the B.S. degree in electronic engineering and the Ph.D. degree in electronic science and technology from Xidian University, XiˇŻan, China, in 2003 and 2009, respectively. Since 2006, he has been a Teacher with Xidian University, where he was promoted to be an Associate Professor and a Full Professor, both with exceptive admission, in 2008 and 2010, respectively. His research interests include computational intelligence with applications to optimization, learning, data mining, and image understanding. He has published over 50 papers in journals and conferences, and holds 14 granted patents as the first inventor.

This page was last updated on 23 Sept. 2015.