SPECIAL SESSION ON GENETICS-BASED MACHINE LEARNING

The 2007 IEEE Congress on Evolutionary Computation

25-28 September 2007, Singapore

IMPORTANT DATES Paper Submission: March 31, 2007 Notification of acceptance: May 15th, 2007 Camera-ready submission: June 15th, 2007

CALL FOR PAPERS Since its inception by John Holland, Genetics-Based Machine Learning (GBML) has been investigated for various application domains including biological systems, data mining and engineering applications. This special session will be a forum for discussing current and future directions of GBML. We invite researchers to submit their original and unpublished work including but not limited to the following topics: • Continuous Actions in Learning Classifier Systems (LCS) • Concept Drift in GBML • Distributed and Multi-agent Systems using GBML • Evolutionary Decision Trees • Evolutionary Ensemble learning • Evolutionary LCS • Evolutionary Neural Networks • Evolutionary Support Vector Machines • Foundation of GBML Research • GBML for Function Approximation • GBML for Noisy Environments • GBML for Stream Data Mining • GBML for Outlier Detection • Online/Offline Learning • Real World Applications using GBML • Representation Effect in GBML • Theory of GBML PAPER SUBMISSION Papers submitted for this session will be peer-reviewed following the same standards of CEC’07. The paper format of the conference is available on the website: http://www.cec2007.org. After the final decision is made, authors will receive a decision accompanied with the reports of the referees. All accepted papers will appear in the conference proceedings of CEC'07 and at least one of the authors must register and attend to present his/her paper at CEC'07. All papers will be submitted via the CEC submission system. Please follow the instructions carefully to upload your papers. If you experience any difficulty, please feel free to contact us directly. ORGANIZERS Hai Huong (Helen) Dam, Kamran Shafi, Hussein A. Abbass. The Artificial Life and Adaptive Robotics Laboratory, School of Information Technology and Electrical Engineering, University of New South Wales, Australian Defence Force Academy Campus, Canberra, Australia Email: {h.dam, k.shafi, h.abbass}@adfa.edu.au Home page: http://www.itee.adfa.edu.au/~alar

Last update: 30/6/2006