Organizers: Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi, Francisco Herrera

This session has been accepted at the FUZZ-IEEE 2013 conference which will be held in Hyderabad, India at July 7-10, 2013.

After almost forty years of development, fuzzy systems have demonstrated their superb ability to solve different problems arising in various application domains. In the last two decades, the cooperative framework established made the research interest move to augment fuzzy systems with learning and adaptation capabilities. Since the first pioneer works dated back to 1991, one of the most successful approaches to hybridize fuzzy systems with learning and adaptation methods, apart of course from fuzzy neural networks, has resulted in so-called Evolutionary Fuzzy Systems. These hybrid computational intelligence techniques augment the approximate reasoning method of fuzzy systems with the learning capabilities of evolutionary algorithms.

This topic has attracted considerable attention in the Computation Intelligence community in the last few years. The predominat type of EFS is that focused on FRBSs. However other kinds of EFSs have been developed, with succesful results. In the last few years we observe the increase of published papers in the topic due to the high potential of EFSs. A non exhaustive list of recent journal papers on Evolutionary/Genetic Fuzzy Rule-Based Systems (2007-Present) can be found at http://sci2s.ugr.es/gfs/biblio.php, as a part of the Website "Genetic Fuzzy Systems: Taxonomy, Current Research Trends and Prospects" devoted to maintain additional materials to the paper:

F. Herrera, Genetic Fuzzy Systems: Taxonomy, Current Research Trends and Prospects. Evolutionary Intelligence 1 (2008) 27-46 doi: 10.1007/s12065-007-0001-5

Objectives and Scope

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. The session is therefore open to any high quality submission from researchers working at the particular intersection of evolutionary algorithms and fuzzy systems called Evolutionary Fuzzy Systems. Potential authors for this Special Session should present original research and innovative results including (but not limited to) the following topics:

• Evolutionary Learning/Tuning of Fuzzy Rule-Based Systems
• Evolutionary Selection of Fuzzy Rules
• Evolutionary Fuzzy Systems and the Interpretability-Accuracy Trade-off
• Multi-objective Evolutionary Fuzzy Systems
• Evolutionary Fuzzy Neural Networks
• Evolutionary Fuzzy Clustering
• Swarm Intelligence with Fuzzy Systems
• Applications of Evolutionary Fuzzy Systems

Important Dates

• Special session organizers would be able to better control and handle those contributions that will take part in the special session if they receive tentative titles and authors before the submission deadline. Please, send this information at your earliest convenience (this is not essential) to the organizers by email.
• Deadline for Papers Submission (according FUZZ-IEEE 2013 instructions):    January 5, 2013.
  • Each paper should follow the formatting guidelines for the conference, which can be consulted here.
  • To submit your paper, please use the Electronic Submission System for FUZZ-IEEE 2013 to fill in the author and paper information forms and to attach a PDF camera ready version of the paper. When making a submission, the author must choose "SS-13. Evolutionary Fuzzy Systems" special session in the main research topic input box (please take care on this selection since there are close titles in other topics).
  • Additionally, please once the paper has been submitted send an email to the special session organizers enclosing the submitted pdf.
• By April 10, 2013, authors will receive the notification of acceptance/rejection.
• Deadline for Camera-ready papers: May 10, 2013.

Organizers and Contact

Rafael Alcalá. Contact information:

Email address: alcala@decsai.ugr.es

Postal address: Department of Computer Science and Artificial Intelligence, University of Granada, E-18071 Granada, Spain

Telephone number: +34-958-246251

Fax Number: +34-958-243317

Yusuke Nojima. Contact information:

Email address: nojima@cs.osakafu-u.ac.jp

Postal address: Department of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, Sakai, Osaka 599-8531, Japan

Telephone number: +81-72-254-9198

Fax Number: +81-72-254-9915

Hisao Ishibuchi. Contact information:

Email address: hisaoi@cs.osakafu-u.ac.jp

Postal address: Department of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, Sakai, Osaka 599-8531, Japan

Telephone number: +81-72-254-9350

Fax Number: +81-72-254-9915

Francisco Herrera. Contact information:

Email address: herrera@decsai.ugr.es

Postal address: Department of Computer Science and Artificial Intelligence, University of Granada, E-18071 Granada, Spain

Telephone number: +34-958-240598

Fax Number: +34-958-243317