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2016 IEEE Symposium on Differential Evolution

Differential Evolution (DE) is arguably one of the most powerful stochastic real-parameter optimization algorithms in current use. DE is a very simple algorithm, requiring only a few lines of code in most of the existing programming languages. Additionally, it has very few control parameters. Nonetheless, DE exhibits remarkable performance in optimizing a wide variety of optimization problems in terms of final accuracy, convergence speed, and robustness as evidenced by the consistently excellent performance in all of the CEC competitions (http://www3.ntu.edu.sg/home/epnsugan). The last decade has witnessed a rapidly growing research interest in DE as demonstrated by the significant increase in the number of research publications on DE in the forms of monographs, edited volumes and archival articles. Although research on and with DE has reached an impressive state, there are still many open problems and new application areas are continually emerging for the algorithm. This Symposium aims at bringing researchers and users from academia and industry together to report, interact and review the latest progress in this field, to explore future directions of research and to publicize DE to a wider audience from diverse fields joining the IEEE SSCI 2016 in Athens, Greece and beyond.

Topics

Authors are invited to submit their original and unpublished work in the areas including (but not limited to) the following:


Special Sessions

All special session proposals containing a title of the special session, to which symposium it is proposed to, names, affiliations and email addresses of proposers, together with a description of aims and scope of the special session and a list of 6-10 potential contributors, should be sent to hisaoi@cs.osakafu-u.ac.jp.

Further information about special session proposals and a list of accepted special sessions can be found at:http://ssci2016.cs.surrey.ac.uk/Special%20Sessions.htm

Organisers

Janez Brest
University of Maribor, Maribor.
E-mail: janez.brest@uni-mb.si
Swagatam Das
Indian Statistical Institute, Kolkata-700 108, India.Indian Statistical Institute, Kolkata-700 108, India.
E-mail: swagatam.das@isical.ac.in
Ferrante Neri
De Montfort University, UK.
E-mail: fneri@dmu.ac.uk

Technical Program Committee