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

Jesús Alcalá, University of Granada, Spain
Pietro Ducange, University of Pisa, Italy
María José Gacto, University of Jaén, Spain

Program Committee

José María Alonso, University of Alcalá, Spain
Ulrich Bodenhofer, Johannes Kepler University, Linz, Austria
Alberto Bugarín, 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
Chun-Hao Chen, Tamkang University, Taiwan
France Cheong, RMIT University Melbourne, Australia
Marco Cococcioni, University of Pisa, Italy
Oscar Cordón, University of Granada, Spain
Keeley Crockett, Manchester Metropolitan University, UK
Paulo Fazendeiro, University of Beira Interior, Portugal
Shinji Fukuda, Kyushu University, Japan
Fernando Gomide, University of Campinas, Brazil
Antonio González, University of Granada, Spain
Pedro González, University of Jaén, Spain
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
Frank Klawonn, Ostfalia University of Applied Sciences, Germany
Naoyuki Kubota, Tokyo Metropolitan University, Japan
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
Adel M. Alimi, University of Sfax, Tunisia  
Edward Tunstel,  John Hopkins University, USA
Raúl Pérez, University of Granada, Spain
Myriam Regattieri Delgado, Federal University of Technology of Paraná, Brazil
Luciano Sánchez, University of Oviedo, Spain
José Antonio Sanz, University of Navarra, Spain
Gregorio Sáinz, University of Valladolid, Spain
Dimitris G. Stavrakoudis, , Aristotle University of Thessaloniki, Greece
John Theocharis, Aristotle University of Thessaloniki, Greece
Bogdan Trawinski, Wroclaw University of Technology, Poland
Pedro Villar, University of Granada, Spain