GEFS 2013

6th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems

After almost twenty years of efforts towards augmenting fuzzy systems with learning and adaptation capabilities, one of the most prominent approaches to do so has resulted in the emergence of genetic fuzzy systems. These kinds of hybrid systems meld the approximate reasoning method of fuzzy systems with the adaptation capabilities of evolutionary algorithms. On the one hand, fuzzy systems have demonstrated the ability to formalize in a computationally efficient manner the approximate reasoning typical of humans. On the other hand, genetic (and in general evolution-inspired) algorithms constitute a robust technique in complex optimization, identification, learning, and adaptation problems. In this way, their confluence leads to increased capabilities for the design and optimization of fuzzy systems.

GEFS2013 will become the fifth workshop in a series of highly successful symposiums dedicated to serving the needs of academics and practitioners in computational intelligence following the previous workshops in Granada (Spain), Ambleside (UK), Witten-Bommerholz (Germany) and Mieres (Spain). The objective of GEFS2013 is to facilitate the promotion of novel problems, research, results, and future directions in the growing area of genetic and evolutionary fuzzy systems. GEFS2013 will provide an opportunity to meet researchers working on the topic, make new contacts and exchange ideas.
The GEFS series of workshops are an important part of the activities of the Evolutionary Fuzzy Systems Task Force of the Fuzzy System Technical Committee (IEEE Computational Intelligence Society). This 6th edition of GEFS will be held on April 16-19, 2013 as a part of the Symposium Series on Computational Intelligence sponsored by the IEEE Computational Intelligence Society (IEEE SSCI 2013) in Singapore.

Topics

The workshop program will focus on:

Genetic Fuzzy Rule-Based Systems
Michigan, Pittsburgh, and iterative rule learning approaches in genetic fuzzy rule-based systems
Multiobjective genetic fuzzy systems
Genetic learning and tuning of fuzzy rule-based systems
Genetic fuzzy systems and the interpretability-accuracy trade-off
Scalability issues on genetic fuzzy rule-based systems for high-dimensional problems
Genetic fuzzy association rule mining
Other Evolutionary Fuzzy Systems
Evolutionary fuzzy rule-based systems
Evolutionary fuzzy clustering
Evolutionary-neuro-fuzzy systems
Meta-heuristic approaches in Evolutionary fuzzy systems
Real-world applications of genetic and evolutionary fuzzy systems
Robotics and control systems
Industrial applications
Data mining and knowledge discovery
Bioinformatics
Other application domains
And in general, proposals focussed on the application of genetic or evolutionary algorithms for the design and/or optimization of fuzzy systems.

Related Webpages

Genetic Fuzzy Systems: Taxonomy, Current Research Trends and Prospects
Recent Journal Papers on Genetic Fuzzy Rule-Based Systems
Keynote, Tutorial and Panel Sessions

Please forward your proposals with detailed abstract and bio-sketches of the speakers to Workshop Co-Chairs and SSCI Keynote-Tutorial Chair, Dr S Das.

Special Sessions

Please forward your special session proposals to Workshop Co-Chairs.



Workshop Co-Chairs

Rafael Alcala, University of Granada, Spain
Yusuke Nojima, Osaka Prefecture University, Japan

Publicity Chairs

Jesus Alcala, University of Granada, Spain
Pietro Ducange, University of Pisa