Thursday, 22 October 2015

Call for Papers WCCI 2016 Special Session on "When Evolutionary Computation Meets Data Mining"


Many of the tasks carried out in data mining and machine learning, such as feature subset selection, associate rule mining, model building, etc., can be transformed as optimization problems.  Thus it is very natural that Evolutionary Computation (EC),  has been widely applied to these tasks in the fields of data mining (DM) and machine learning (ML),  as an optimization technique.

On the other hand, EC is a class of population-based iterative algorithms, which generate abundant data about the search space, problem feature and population information during the optimization process. Therefore, the data mining and machine learning techniques can also be used to analyze these data for improving the performance of EC.  A plethora of successful applications have been reported, including the creation of new optimization paradigm such as Estimation of Distribution Algorithm,  the adaptation of parameters or operators in an algorithm, mining the external archive for promising search regions, etc.  

However, there remain many open issues and opportunities that are continually emerging as intriguing challenges for bridging the gaps between EC and DM. The aim of this special session is to serve as a forum for scientists in this field to exchange the latest advantages in theories, technologies, and practice.

We invite researchers to submit their original and unpublished work related to, but not limited to, the following topics:
  • EC Enhanced by Data Mining and Machine Learning Concepts and/or Method
  • Data Mining and Machine Learning Based on EC Techniques    
  • Data Mining and Machine Learning Enhanced Multi-Objective Optimization     
  • Data Mining and Machine Learning Enhanced Constrained Optimization
  • Data Mining and Machine Learning Enhanced Memetic Computation
  • Multi-Objective Optimization and Rule Mining Problems
  • Knowledge Discovery in Data Mining via Evolutionary Algorithm
  • Genetic Programming in Data Mining
  • Multi-Agent Data Mining using Evolutionary Computation
  • Medical Data Mining with Evolutionary Computation
  • Evolutionary Computation in Intelligent Network Management
  • Evolutionary Clustering in Noisy Data Sets
  • Big Data Projects with Evolutionary Computation
  • Real World Applications   

Paper Submission:

All papers should be submitted electronically through To submit your papers to the special session, please select the Special Session name in the Main Research topic. For more submission information, please visit All accepted papers will be published in the IEEE CEC 2016 proceedings, included in the IEEE Xplore digital library.


Zhun Fan
Department of Electronic Engineering, Shantou University, Shantou, China

Zhun Fan received his Ph.D. (Electrical and Computer Engineering) in 2004 from the Michigan State University. He received the B.S. degree in 1995 and M.S degree in 2000, both from Huazhong University of Science and Technology, China. From 2004 to 2011, he was employed as an Assistant Professor and Associate Professor at the Technical University of Denmark. He has also been working at the BEACON Center for Study of Evolution in Action at Michigan State University. He is currently a Professor and Head of Department of Electronic and Informatics Engineering at the Shantou University, China.  He is also the Director of the Guangdong Provincial Key Laboratory of Digital Signal and Image Processing.  His major research interests include applying evolutionary computation and computational intelligence in design automation and optimization of mechatronic systems, computational intelligence, wireless communication networks, MEMS, intelligent control and robotic systems, robot vision etc

Xinye Cai
Nanjing University of Aeronautics and Astronautics, Nanjing, China

Xinye Cai received his BEng. Degree in Electronic&Information Engineering Department from Huazhong Univeristy of Science&Technology, China in 2004, and a Msc. degree in Electronic Department University of York, UK in 2006. Later, he received his PhD degree in Electrical&Computer Engineering Department in Kansas State University in 2009. Currently, he is an Associate Professor with the College of Computer Science and Technology, Nanjing University of Aeronautics&Astronautics, China. His main research interests include evolutionary computation, multi-objective optimization, constrained optimization and relevant real-world application.

Chuan-Kang Ting
National Chung Cheng University, Chiayi, Taiwan

Chuan-Kang Ting (S’01–M’06–SM’13) received the B.S. degree from National Chiao Tung University, Taiwan, in 1994, the M.S. degree from National Tsing Hua University, Taiwan, in 1996, and the Ph.D. degree from the University of Paderborn, Germany, in 2005. He is currently an Associate Professor at Department of Computer Science and Information Engineering, National Chung Cheng University, Taiwan. His research interests are in evolutionary computation, computational intelligence, metaheuristic algorithms, and their applications in music, creativity, data mining, computer networks, and bioinformatics.

Qingfu Zhang
School of Computer Science & Electronic Engineering, University of Essex, Essex, UK

Qingfu Zhang is currently a Professor with the School of Computer Science and Electronic Engineering, University of Essex, UK. His is also a Changjiang Visiting Chair Professor in Xidian University, China. From 1994 to 2000, he was with the National Laboratory of Parallel Processing and Computing, National University of Defence Science and Technology, China, Hong Kong Polytechnic University, Hong Kong, the German National Research Centre for Information Technology (now Fraunhofer-Gesellschaft, Germany), and the University of Manchester Institute of Science and Technology, Manchester, U.K. He holds two patents and is the author of many research publications. His main research interests include evolutionary computation, optimization, neural networks, data analysis, and their applications. Dr. Zhang is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the IEEE Transactions on Systems, Man, and Cybernetics–Part B. He is also an Editorial Board Member of three other international journals.  MOEA/D, a multobjevitve optimization algorithm developed in his group, won the Unconstrained Multiobjective Optimization Algorithm Competition at the Congress of Evolutionary Computation 2009, and was awarded the 2010 IEEE Transactions on Evolutionary Computation Outstanding Paper Award.

(Provisional) Program Committee

  • Aimin Zhou, East China Normal University, China
  • Bin Li, University of Science and Technology of China, China
  • Ke Tang, University of Science and Technology of China, China
  • Hailin Liu, Guangdong University of Technology, China
  • Hui Li, Xi’an Jiaotong University, China
  • Wei-Neng Chen, Sun Yat-Sen University, China
  • Xiao-Min Hu, Sun Yat-Sen University, China
  • Zhi-Hui Zhan, Sun Yat-Sen University, China
  • Yue-Jiao Gong, Sun Yat-Sen University, China
  • Ying-Lin, Sun Yat-Sen University, China
  • Jing Liang, Zhenzhou University, China 
  • Kai Qin, School of Computer Science and Information Technology, RMIT University, Australia
  • Xiaodong Li, School of Computer Science and Information Technology, RMIT University, Australia
  • Kay Chen Tan, National University of Singapore, Singapore 
  • Licheng Jiao, Xidian University, China
  • Maoguo Gong, Xidian University, China
  • Jing Liu, Xidian University, China
  • Dunwei Gong,  China University of Mining and Technology, China
  • Xiaoyan Sun,  China University of Mining and Technology, China
  • Ling Wang, Tsinghua University, China
  • Mengjie Zhang, Victoria University of Wellington, New Zealand
  • Yanfei Zhong, Wuhan University, China
  • Yanqing Zhang, Georgia State University, USA
  • Yaochu Jin, University of Surrey, UK
  • Ying-Ping Chen, National Chiao Tung University, Taiwan
  • Yong Wang, Central South University of China, China 
  • Zhen Ji, Shenzhen University, China
  • Erik Goodman, Michigan State University, USA
  • Gary Yen, Oklahoma State University, USA
  • Weihua Sheng, Oklahoma State University, USA
  • Jinchao Liu, VisionMetric, UK
  • Stephen L. Smith, University of York, UK
  • Sofiane Achiche, Ecole Polytechnique de MontrĂ©al, Canada
  • Ilmar Santos, Technical University of Denmark, Denmark
  • Hui Cheng, Liverpool John Moores University, UK.
  • Shengxiang Yang, De Montfort University, UK.
  • Ong Yew Soon, Nanyang Technological University
  • Zexuan Zhu, Shenzhen University

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