2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS)
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.
GEFS 2013 becomes the sixth workshop in a series of 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 GEFS 2013 is to facilitate the promotion of novel problems, research, results, and future directions in the growing area of genetic and evolutionary fuzzy systems. GEFS 2013 provides 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 FSTC at IEEE CIS, which sponsors this 6th edition as a part of the Symposium Series on Computational Intelligence sponsored by the IEEE Computational Intelligence Society (IEEE SSCI 2013).