CSIT School Seminar: Population-based Algorithm Portfolio for Numerical Optimization

Prof. Ke Tang
University of Science and Technology of China
Date and time: 11.30am - 12.30pm, Friday 11 October 2013
Venue: RMIT University, Building 10, Level 8, Room 3 (10.08.03)

Register your attendance on the Facebook page: https://www.facebook.com/events/1419948404892871/


Abstract
Evolutionary Algorithms are a family of powerful optimization techniques. It is well known that different real-world problems may favor different EAs. In practice, however, it is unlikely that a user can afford seeking the best EA for every problem of his/her interests. Instead, it is usually desirable that an algorithm can offer overall good performance on a large variety of problems. Recently, an approach called Population-based Algorithm Portfolios (PAP) has been developed based on this consideration. This talk will introduce the basic concepts of PAP as well as the detailed method for establishing a PAP. Links between PAP and ensemble learning will also be discussed.


Note that Prof. Ke Tang's visit is funded by an 2013 RMIT Foundation International Research Exchange Fellowship on a joint research project "Benchmarking optimization methods for large scale global optimization", with the Evolutionary Computation and Machine Learning Group (ECML), at the school of Computer Science and IT, RMIT University. This talk is also sponsored by IEEE Victorian Section Computational Intelligence Chapter.


About the speaker
Ke Tang received the B.Eng. degree from the Huazhong University of Science and Technology, Wuhan, China, and the Ph.D. degree from the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, respectively. 


Dr. Tang is now a Professor at the USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI), School of Computer Science and Technology, University of Science and Technology of China, Hefei, China. He has authored or co-authored more than 70 refereed papers in journals and conferences. His research interests include evolutionary computation, machine learning, and real-world applications. He is an Associate Editor of the IEEE Computational Intelligence Magazine and Computational Optimization and Applications. He served as the Program/Technical Co-Chair of CEC2010 and CEC2013.


Seminar Organisation
Seminars are free and open to the general public. No booking is necessary. If you are interested in giving a presentation in this seminar series, or to make suggestions for speakers, please contact Lawrence Cavedon, the seminar co-ordinator, lawrence.cavedon@rmit.edu.au.


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