WCCI 2016 Special Session on "Evolutionary Fuzzy Systems"

Brief Description:

For more than two decades, evolutionary computation and various meta-heuristics have frequently been used for fuzzy system design under the name of evolutionary fuzzy systems. Their learning and adaptation capabilities enable structure and parameter optimization of fuzzy systems for many kinds of machine learning tasks such as modeling, classification, and rule mining. Their flexible frameworks also enable to handle multiple objectives like accuracy and interpretability maximization and many kinds of data types like imbalanced, missing, and privacy-preserving data sets. The aim of the session is to provide a forum to disseminate and discuss recent and significant research efforts on Evolutionary Fuzzy Systems in order to deal with current challenges on this topic.

Scope and Topics:

The session is open to any high quality submission from researchers working at the particular intersection of evolutionary algorithms and fuzzy systems. The topics of this special session are as follows:

• Evolutionary Learning/Tuning of Fuzzy Rule-Based Systems
• Evolutionary Selection of Fuzzy Rules
• Interpretability-Accuracy Tradeoff 
• Multiobjective Evolutionary Fuzzy Systems
• Evolutionary Fuzzy Neural Networks
• Evolutionary Fuzzy Clustering
• Swarm Intelligence for Fuzzy Systems
• Preprocessing and Postprocessing for Evolutionary Fuzzy Systems
• Applications of Evolutionary Fuzzy Systems to Real World Problems

Also see: http://www.wcci2016.org/spsessions.php

Please submit papers to FUZZ-IEEE 2016 submission site (http://ieee-cis.org/conferences/fuzzieee2016/upload.php).
If you are invited as reviewers of FUZZ-IEEE 2016 and interested in evolutionary fuzzy systems, please select our special session on the review system. You can change your research topics for review from “Edit your contact information”. Please choose “S. Special Sessions > SS-16 Evolutionary fuzzy systems”. Thank you so much in advance for your contributions to our special session.

Organizers:

Yusuke Nojima
Department of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University
nojima@cs.osakafu-u.ac.jp

Rafael Alcalá
Department of Computer Science and Artificial Intelligence, University of Granada
alcala@decsai.ugr.es

Hisao Ishibuchi
Department of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University
hisaoi@cs.osakafu-u.ac.jp

Short biography of the organizers:

Yusuke Nojima (M’00) received the B.S. and M.S. Degrees in mechanical engineering from Osaka Institute of Technology, Osaka, Japan, in 1999 and 2001, respectively, and the Ph.D. degree in system function science from Kobe University, Hyogo, Japan, in 2004. Since 2004, he has been with Osaka Prefecture University, Osaka, Japan, where he was a Research Associate and is currently an Associate Professor in Department of Computer Science and Intelligent Systems. He serves as an associate editor of IEEE Computational Intelligence Magazine. He has co-edited five Special Issues at international journals, four of them on the evolutionary fuzzy systems topic. He was Program Co-Chair at GEFS 2010 and General Co-Chair at GEFS 2011 and GEFS 2013. He is a member of the Fuzzy Systems Technical Committee (FSTC) at the IEEE Computational Intelligence Society (CIS), and a chair of the “Evolutionary Fuzzy Systems” Task Force from July 2014. His research interests include multiobjective genetic fuzzy systems, evolutionary multi objective optimization, parallel distributed data mining, and ensemble classifier design. He received the Best Paper Awards from HIS 2006, FUZZ-IEEE 2009 and 2011, WAC 2010, SCIS&ISIS 2010, ACIIDS 2015, etc.

Rafael Alcalá received the M.Sc. degree in Computer Science in 1998 and the Ph.D. degree in Computer Science in 2003, both from the University of Granada, Spain. From 1998 to 2003, he was with Department of Computer Science, University of Jaén. He is currently an Associate Professor in the Department of Computer Science and Artificial Intelligence at the University of Granada, where he is a Member of the Soft Computing and Intelligent Information Systems Research Group. He has published over 90 papers in international journals, book chapters and conferences. He has worked on several research projects supported by the Spanish government and the European Union. As edited activities, he has co-edited six special issues: the IEEE Transactions on Fuzzy Systems special issue on “Genetic Fuzzy Systems: What’s next”, the Evolutionary Intelligence special issue on “Genetic Fuzzy Systems: New Advances” and, the Special Issues on “Evolutionary Fuzzy Systems” at the Soft Computing journal, the International Journal of Computational Intelligence Systems, the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems and the International Journal on Knowledge-Based Systems. He currently serves as member of the editorial/reviewer board of the journals: IEEE Transactions on Fuzzy Systems (AE), the Scientific World Journal and the Journal of Universal Computer Science. He was a member of the Fuzzy Systems Technical Committee (FSTC) at the IEEE Computational Intelligence Society (CIS) from January 2009 to December 2013, and a chair of the “Evolutionary Fuzzy Systems” Task Force from January 2009 to June 2014. He was Program Co-Chair at GEFS 2010, Area Co-Chair at FUZZ-IEEE 2011 and General Co-Chair at GEFS 2011 and GEFS 2013. His current research interests include multi-objective genetic algorithms and genetic fuzzy systems, particularly the learning/tuning of fuzzy systems for modeling and control with a good trade-off between accuracy and interpretability, as well as fuzzy association rules.

Hisao Ishibuchi (M93-SM10) received the B.Sc. and M.Sc. degrees in precision mechanics from Kyoto University, Kyoto, Japan, in 1985 and 1987, respectively, and the Ph.D. degree in computer science from Osaka Prefecture University, Sakai, Osaka, Japan, in 1992. Since 1987, he has been with Osaka Prefecture University, where he is currently a Professor with the Department of Computer Science and Intelligent Systems. His research interests include fuzzy rule-based classifiers, evolutionary multi- objective optimization, evolutionary fuzzy systems and evolutionary games. He received a Best Paper Award from GECCO 2004, HIS-NCEI 2006, FUZZ- IEEE 2009, WAC 2010, SCIS & ISIS 2010, FUZZ-IEEE 2011, and ACIIDS 2015. He also received the 2007 JSPS Prize from Japan Society for the Promotion of Science. Dr. Ishibuchi was the IEEE CIS Vice-President for Technical Activities (2010-2013). He has been a Chair or Co-Chair of a number of conferences such as Program Chair of IEEE CEC 2010, General Chair of ICMLA 2011, Program Co-Chair of FUZZ-IEEE 2011-2013, Technical Co- Chair of IEEE CEC 2013, Program Co-Chair of IEEE CEC 2014, Program Chair of IES 2014, Publicity Chair of IEEE SSCI 2014, Technical Co-Chair of SEAL 2014, Special Sessions Chair of IEEE CEC 2015, and Program Co- Chair of FUZZ-IEEE 2015. Currently, he is the Editor-in-Chief of IEEE Computational Intelligence Magazine (2014-2015). He is also an Associate Editor of IEEE Trans. on Fuzzy Systems, IEEE Trans. on Evolutionary Computation, IEEE Trans. on Cybernetics, and IEEE Access, and a Steering Committee Member of IEEE Trans. on Autonomous Mental Development. He is an IEEE Fellow (2014).