Call For Papers
Special Session: Evolutionary Machine Learning
The 10th International Conference on Simulated Evolution And Learning (SEAL 2014)
15-18 December 2014, Dunedin, New Zealand
http://seal2014.otago.ac.nz/
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Machine learning and evolutionary computation are two major fields of computational intelligence. They share many fundamental similarities and are frequently explored together to tackle complex, large-scale, and dynamic learning problems under various sources of uncertainties.
This special session will cover a broad range of topics related to evolutionary machine learning, including novel learning algorithms and their innovative applications. We will focus on both theoretical and practical research in this field. The aim is to show how the global search performed by evolutionary methods can complement the local search of non-evolutionary methods and how the combination of the two can improve learning effectiveness and performance within a wide range of clustering, classification, regression, prediction, and control tasks.
Topics of interest include, but not limited to:
– Learning Classifier Systems
– Genetic Programming (GP) and its application to machine learning tasks
– Evolutionary ensembles
– Neuroevolution and its application to machine learning tasks
– Genetic fuzzy systems
– Hyper-parameter tuning with evolutionary methods
– Theoretical analysis of evolutionary learning algorithms
– Interesting practical applications
– Advanced computing platforms for evolutionary machine learning
– Other Genetics-Based Machine Learning: hybrid learning systems combining evolutionary techniques with machine learning methods
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Important Dates:
28 July 2014, deadline for submission of full papers (<=12 pages)
29 August 2014, Notification of acceptance
16 September 2014, Deadline for camera-ready copies of accepted papers
15-18 December 2014, Conference sessions (including tutorials and workshops)
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Paper Submission:
You should follow the SEAL 2014 Submission Web Site
(http://seal2014.otago.ac.nz/submissions.aspx). In the Main Research Topic, please choose
“Evolutionary Machine Learning ”
Special session papers are treated the same as regular conference papers. All papers will be fully refereed by a minimum of two specialized referees. Before final acceptance, all referees comments must be considered. All accepted papers that are presented at the conference will be included in the conference proceedings, to be published in Lecture Notes in Computer Science (LNCS) by Springer. Selected papers will be invited for further revision and extension for possible publication in a special issue of a SCI journal after further review Soft Computing (Springer, Impact Factor 1.124).
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Special Session Organizers:
Dr Aaron Chen
School of Engineering and Computer Science, Victoria University of Wellington,
PO Box 600, Wellington, New Zealand.
Email: aaron.chen@ecs.vuw.ac.nz
Homepage: http://ecs.victoria.ac.nz/Main/AaronChen
Dr Will Browne
School of Engineering and Computer Science, Victoria University of Wellington,
PO Box 600, Wellington, New Zealand.
Email: will.browne@vuw.ac.nz
Homepage: http://ecs.victoria.ac.nz/Main/WillBrowne