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IEEE CIS Task Force on Differential Evolution

Chair
Ferrante Neri, De Montfort University, UK

Co-chair
Ponnuthurai N. Suganthan, Nanyang Technological University, Singapore

Co-chair
Janez Brest, Institute of Computer Science, FEECS, University of Maribor, Slovenia


Chair History: P. N. Suganthan (2013, 2017), Janez Brest (2014, 2015, 2016)


Why a Tasking Force Group? The main aim of the task force groups of the IEEE CIS Technical Committee on Evolutionary Computation is to promote the research and applications in Differential Evolution.


NEW The 2018 DE special issue in SWEVO journal

Members



Activities IEEE Symposium on Differential Evolution, IEEE Symposium Series on Computational Intelligence


Links: IEEE CIS, Evolutionary Computation TC

Motivation:

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.

Goals:
The main goal of this task force is to promote research on differential evolution. ...

Scope:
The scope of this task force includes the following topics:

Planned Activities:

Resources and Relevant Links:

NEW The 2018 DE special issue in SWEVO journal

IEEE Symposium on Differential Evolution 2017 (SDE 2017) under SSCI 2017, Honolulu, USA

IEEE Congress on Evolutionary Computation (CEC 2017 in San Sebastian, Spain; SS on Differential Evolution: Past, Present and Future


IEEE Symposium on Differential Evolution 2016 (SDE 2016) under SSCI 2016, Athens, Greece

IEEE World Congress on Computational Intelligence WCCI 2016 in Vancouver, Canada

IEEE Symposium on Differential Evolution 2015 (SDE 2015) under SSCI 2015, Cape Town, South Africa

IEEE Symposium on Differential Evolution 2014 (SDE 2014) under SSCI 2014, Orlando, FL, USA

IEEE Symposium on Differential Evolution 2013 (SDE 2013) under SSCI 2013, Singapore


Symposium on Swarm Intelligence and Differential Evolution (SIDE 2012)


IEEE Congress on Evolutionary Computation (CEC_2015), Sendai, Japan :: Special Session on: Differential Evolution: Past, Present and Future


Some codes, Tutorial & Survey on DE are availible from http://www.ntu.edu.sg/home/epnsugan/

Codes from University of Berkeley: http://www.icsi.berkeley.edu/~storn/code.html