Important Dates
Paper submission deadline: December 19, 2014 January 16, 2015 (Extended)
Paper acceptance notification: February 20, 2015
Final paper submission deadline: March 13, 2015
Conference dates: May 25-28, 2015
Special Session on
New Directions in Evolutionary Machine Learning
Motivation
Evolutionary Machine Learning (EML) explores technologies that integrate machine learning with evolutionary computation for tasks including optimization, classification, regression, and clustering. Since machine learning contributes to a local search while evolutionary computation contributes to a global search, one of the fundamental interests in EML is a management of interactions between learning and evolution to produce a system performance that cannot be achieved by either of these approaches alone. Historically, this research area was called GBML (genetics-based machine learning) and it was concerned with learning classifier systems (LCS) with its numerous implementations such as fuzzy learning classifier systems (Fuzzy LCS). More recently, EML has emerged as a more general field than GBML; EML covers a wider range of machine learning adapted methods such as genetic programming for ML, evolving ensembles, evolving neural networks, and genetic fuzzy systems; in short, any combination of evolution and machine learning. EML is consequently a broader, more flexible and more capable paradigm than GBML. From this viewpoint, the aim of this special session is to explore potential EML technologies and clarify new directions for EML to show its prospects. For this purpose, this special session focuses on, but is not limited to, the following areas in EML:
– Evolutionary learning systems (e.g., learning classifier systems) – Evolutionary fuzzy systems
– Evolutionary data mining - Evolutionary reinforcement learning - Evolutionary neural networks
– Evolutionary adaptive systems – Artificial immune systems - Accuracy-Interpretability tradeoff in EML
– Applications and theory of EML – Genetic programming applied to machine learning
– Evolutionary feature selection and construction for machine learning - Transfer learning; learning blocks of knowledge (memes, code, etc.) and evolving the sharing to related problem domains
Important Dates
Paper submission deadline: December 19, 2014 January 16, 2015 (Extended)
Paper acceptance notification: February 20, 2015
Final paper submission deadline: March 13, 2015
Conference dates: May 25-28, 2015
Paper Submission
Special session papers are treated the same as regular papers and must be submitted via the CEC 2015 submission website. To submit your paper to this special session, you have to choose our special session (ID SS52) on the submission page.
Organizers
- Keiki Takadama, The University of Electro-Communications, Japan (Contact: keiki@inf.uec.ac.jp)
- Tim Kovacs, University of Bristol, UK.
- Yusuke Nojima, Osaka Prefecture University, Japan
- Will Browne, Victoria University of Wellington, New Zealand
- Masaya, Nakata, The University of Electro-Communications, Japan
Special Session URL: https://sites.google.com/site/cec2015sseml/
Conference URL: http://sites.ieee.org/cec2015/