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IEEE Symposium on Foundations of Computational Intelligence(IEEE FOCI'16)

The 2016 IEEE Symposium on Foundations of Computational Intelligence (FOCI 2015) will take place as part of the IEEE Symposium Series on Computational Intelligence (SSCI 2016).

Computational intelligence techniques are widely used to tackle real-world problems due to their numerous successful applications. However, the reasons behind these successes are often not well understood. A solid theoretical foundation of computational intelligence techniques explains the reasons behind the success of these methods. Furthermore, theoretical analyses lead to the understanding of which problems are solved efficiently by a given technique and which are not. Amongst the benefits to practitioners a solid theoretical understanding (a) provides guidance on the choice of the best technique for the problem at hand, (b) helps to identify optimal parameter settings and ultimately (c) aids the design of more effective techniques.

IEEE FOCI'16 will focus on fundamental theoretical foundations of (but not limited to) the three main branches of computational intelligence, Neural Networks and other machine learning methods, Fuzzy Logic and Evolutionary Computation. Although the symposium's main interest is in theoretical foundations, computational studies of a foundational nature are also welcome.

As in the previous SSCI editions, accepted papers will be included in the Conference Proceedings Citation Index.

IEEE FOCI'16, provides an ideal forum for those who are interested in the foundational issues of computational intelligence to exchange their ideas and present their latest findings. Participants of FOCI'16 will also benefit from the interaction at one location with the participants of the several other symposia running concurrently at IEEE SSCI 2016, each highlighting various aspects of computational intelligence. As a whole, this international event will attract top researchers, practitioners, and students from around the world to discuss the latest advances in the field of computational intelligence.

NON EXCLUSIVE LIST OF TOPICS

All bio-inspired search heuristics will be considered for all problem domains including

Accepted Special Sessions

Organizers

Manuel Ojeda-Aciego
Universidad de Málaga, Spain. Email:aciego@ctima.uma.es
Pietro S. Oliveto
The University of Sheffield, UK. Email:p.oliveto@sheffield.ac.uk
Leonardo Franco
Universidad de Málaga, Spain. Email:lfranco@lcc.uma.es

Programme Committee
(To be defined)