GEFS 2011 - GEFS 2011 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems

GEFS 2011
2011 IEEE 5th 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.

GEFS2011 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 GEFS2011 is to facilitate the promotion of novel problems, research, results, and future directions in the growing area of genetic and evolutionary fuzzy systems. GEFS2011 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 5th edition of GEFS will be held on April 11-15, 2011 as a part of the Symposium Series on Computational Intelligence sponsored by the IEEE Computational Intelligence Society (IEEE SSCI 2011) in Paris, France.

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

Symposium Publicity Chairs
Jesus Alcala, University of Granada, Spain
Pietro Ducange, University of Pisa

Program Committee
José María Alonso, European Center for Soft Computing, Spain
Michela Antonelli, University of Pisa, Italy
Ulrich Bodenhofer, Johannes Kepler University, Linz, Austria
Piero Bonissone, General Electric Global Research, USA
Alberto Bugar¡n, University of Santiago de Compostela, Spain
Brian Carse, University of the West of England, Bristol, UK
Jorge Casillas, University of Granada, Spain
Oscar Castillo, Tijuana Institute of Technology, Mexico
France Cheong, RMIT University Melbourne, Australia
Marco Cococcioni, University of Pisa, Italy
Oscar Cordón, European Center for Soft Computing, Spain
Keeley Crockett, Manchester Metropolitan University, UK
Paulo Fazendeiro, University of Beira Interior, Portugal
Fernando Gomide, University of Campinas, Brazil
Antonio González, University of Granada, Spain
Pedro González, University of Jaén, Spain
Hani Hagras, University of Essex, UK
Francisco Herrera, University of Granada, Spain
Tzung-Pei Hong, National University of Kaohsiung, Taiwan
Hisao Ishibuchi, Osaka Prefecture University, Japan
María José del Jesus, University of Jaén, Spain
Fernando Jiménez Barrionuevo, University of Murcia, Spain
Yaochu Jin, Honda Research Institute Europe, Germany
Janusz Kacprzyk, Polish Academy of Sciences, Poland
Nik Kasabov, Auckland University of Technology, New Zealand
Mehmet Kaya, Firat University, Turkey
Frank Klawonn, Ostfalia University of Applied Sciences, Germany
Hannu Koivisto, Tampere University of Technology, Finland
Naoyuki Kubota, Tokyo Metropolitan University, Japan
Beatrice Lazzerini, University of Pisa, Italy Luis Magdalena, European Center for Soft Computing, Spain
Francesco Marcelloni, University of Pisa, Italy
Mahdi Mahfouf, The University of Sheffield, UK
Francisco Alfredo Márquez, University of Huelva, Spain
Trevor Martin, University of Bristol, UK
Manuel Mucientes, University of Santiago de Compostela, Spain
Witold Pedrycz, University of Alberta, Canada
Antonio Peregrín, University of Huelva, Spain
Raúl Pérez, University of Granada, Spain
Pietari Pulkkinen, Tampere University of Technology, Finland
Arnaud Quirin, European Center for Soft Computing, Spain
Myriam Regattieri Delgado, Federal University of Technology of Paraná, Brazil
Luciano Sánchez, University of Oviedo, Spain
John Theocharis, Aristotle University of Thessaloniki, Greece
Bogdan Trawinski, Wroclaw University of Technology, Poland
Edward Tunstel, John Hopkins University, USA
Pedro Villar, University of Granada, Spain