Located at

Teaching

School of Computer Engineering
Nanyang Technological University
Block N4, 2b-39, Nanyang Avenue, Singapore 639798
Tel : +65-6790-6448
Fax: +65-6792-6559
Present Courses

Artificial Neural Networks, Prescribed Elective

SC302/CPE302 Computer Networks, Year 3 Core

RE2006: Engineering Computation, Renaissance Engineering Programme

CSC207 Software Engineering, Year 2 Core

Previous Courses Taught

SC206 Microprocessor Systems Design

BI6121 High Performance Computing in Bioinformatics, Master of Science (Bioinformatics)

Yew-Soon Ong

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asysong<@>ntu.edu.sg
ysong<@>ieee.org
ysong<@>soton.ac.uk
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Yew-Soon Ong is currently Director of the
Centre for Computational Intelligence and an Associate Professor with the School of Computer Engineering, Nanyang Technological University, Singapore. He received his Bachelors and Masters degrees in Electrical and Electronics Engineering from Nanyang Technological University and subsequently his PhD from University of Southampton, UK.

He is Technical Editor-In-Chief of Memetic Computing Journal (Springer), Associate Editor of IEEE Computational Intelligence Magazine, IEEE Transactions on Systems, Man, Cybernetics- Part B, Information Sciences, International Journal of Systems Science, Soft Computing Journal, International Journal of Applied Evolutionary Computation International Journal of Intelligent Computing and Cybernetics and chief editor of Book Series on Studies in Adaptation, Learning, and Optimization. He is also guest editors of IEEE Transactions on Evolutionary Computation, IEEE Trans SMC-B, IEEE Trans SMC-C, Soft Computing Journal, Journal of Genetic Programming and Evolvable Machines, co-edited several books, including Multi-Objective Memetic Algorithms, Evolutionary Computation in Dynamic and Uncertain Environments, and a volume on Advances in Natural Computation published by Springer Verlag. He served as Chair of the IEEE Computational Intelligence Society Emergent Technology Technical Committee (ETTC) from 2011-2012, and has been founding chair of the Task Force on Memetic Computing in ETTC since 2006 as well as a member of IEEE CIS Evolutionary Computation Technical Committee since 2008. Presently, he is serving as IEEE Computational Intelligence Society Intelligent Systems Applications Technical Committee (ISATC) in 2013.

His current research interests include computational intelligence spanning memetic computing, evolutionary optimization using approximation/surrogate/meta-models, complex design optimization, intelligent agents in game, and soft computing. His research grants comprises of external funding from both national and international partners that include National Grid Office, A*STAR, Singapore Technologies Dynamics, Boeing Research & Development (USA), Rolls-Royce (UK) and Honda Research Institute Europe (Germany), National Research Foundation and MDA-GAMBIT. His research work on Memetic Algorithm was featured by Thomson Scientific's Essential Science Indicators as one of the most cited emerging area of research in August 2007. Recently, he also received the 2012 IEEE Transactions on Evolutionary Computation 'Outstanding Paper Award' for his work pertaining to the modeling of Probabilistic Memetic Framework. His research in Evolutionary & Memetic Computation has led to the research-enabled IOS 'Dark-Dots Game' which beat popular apps and games such as Facebook, What's App, Angry Birds and Bejeweled! It was also the top action game in 48 countries including USA, China and Singapore; downloaded by well over 448,000 players worldwide when its was launched, with 27% of its players from China and 17% from the USA.

In teaching, he has also received a number of awards including the Nanyang Excellence Award for Teaching in 2008, Most Popular Lecturer Award 2009. He was featured and portrayed as 'Turning Stones into Diamonds' in the Bright Minds Magazine and recently appointed as a Fellow of Renaissance Engineering Programme and a member of the Teaching Council and at Nanyang Technological University.

Springer-Verlag Book Series: 'STUDIES IN ADAPTATION, LEARNING, AND OPTIMIZATION', Chief editor, with Meng-Hiot Lim.

Memetic Computing Journal, Springer-Verlag, Managing Editor-in-Chief: Meng-Hiot Lim, Technical Editors-in-Chief: Steven Gustafson (General Electric Global Research Center, USA), Natalio Krasnogor (University of Nottingham, UK), Yew-Soon Ong (Nanyang Technological University, Singapore).

Selected Refereed Publications

C. W. Seah, Y. S. Ong, and I. W. Tsang, "Combating Negative Transfer from Predictive Distribution Differences", IEEE Transactions On Cybernetics, No. 99, pps. 1-13, 2013. Available here as PDF file

X. S. Chen, Y. S. Ong, M. H. Lim and K. C. Tan, "A Multi-Facet Survey on Memetic Computation", IEEE Transactions on Evolutionary Computation, Vol. 15, No. 5, pp. 591 - 607, Oct 2011. Available here as PDF file.

M. N. Le, Y. S. Ong, Y. Jin and B. Sendhoff, "A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design", IEEE Computational Intelligence Magazine, Vol. 7, No. 1, pp. 20 - 35, 2012. Available here as PDF file.

H. Aydt, S. J. Turner, W. Cai, Y. H. Low, Y. S. Ong  and R. Ayani, 'Towards an Evolutionary Computing Modeling Language (ECML)', IEEE Transactions on Evolutionary Computation, Vol. 15, No. 2, pp. 230 - 247, 2011.  Available here as PDF file.

Y. S. Ong, M. H. Lim and X. S. Chen, "Research Frontier: Memetic Computation - Past, Present & Future", IEEE Computational Intelligence Magazine, Vol. 5, No. 2, pp. 24 -36, 2010. Available here as PDF file.

S.D. Handoko, C.K. Kwoh and Y. S. Ong, "Feasibility Structure Modeling: An Effective Chaperon for Constrained Memetic Algorithms", IEEE Transactions on Evolutionary Computation, Vol. 14, No. 5, pp. 740-758, Jun 2010. Available here as PDF file.

H. Soh, Y. S. Ong, Q. C. Nguyen, Q. H. Nguyen, M. S. Habibullah, T. Hung and J.-L. Kuo, “Discovering Unique, Low-Energy Pure Water Isomers: Memetic Exploration, Optimization and Landscape Analysis”, IEEE Transactions on Evolutionary Computation, Vol. 14, No. 3, pp. 419-437, Jun 2010. Available here as PDF file.

D. Lim, Y. Jin, Y. S. Ong and B. Sendhoff, "Generalizing Surrogate-assisted Evolutionary Computation", IEEE Transactions on Evolutionary Computation, Vol. 14, No. 3, pp. 329-355, Jun 2010. Available here as PDF file. *Source code Download*.

Z. Zhu, Y. S. Ong and J. Zurada, "Identification of Full and Partial Class Relevant Genes", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 7, no. 2, pp. 263-277, 2010. Near In-Print Version available here as PDF file or Final In-Print Version Available here PDF File.

M. N. Le, Y. S. Ong, Y. Jin & B. Sendhoff, 'Lamarckian memetic algorithms: local optimum and connectivity structure analysis', Memetic Computing Journal, Vol. 1, No. 3, pp. 175-190, 2009. Available here as PDF file. *Source code Download*. 

R. Meuth, M. H. Lim, Y. S. Ong and D. C. Wunsch II, "A Proposition on Memes and Meta-memes in computing for higher-order learning", Memetic Computing Journal, Vol. 1, No. 2, pp. 85-100, June, 2009. Available here as PDF file or at Springer as PDF File.

Q. H. Nguyen, Y. S. Ong and M. H. Lim, “A Probabilistic Memetic Framework”, IEEE Transactions on Evolutionary Computation, Vol. 13, No. 3, pp. 604-623, June 2009. *Bestowed IEEE Transactions on Evolutionary Computation Outstanding Paper Award in 2012. Available here as PDF file or at IEEE Xplore as PDF file. *Source code Download*.

Q. H. Nguyen,  Y. S. Ong, M. H. Lim, N. Krasnogor, "Adaptive Cellular Memetic Algorithms", Evolutionary Computation Journal, Vol. 17, No. 2, pp. 231-256, May 2009.  PDF file or Available at MIT Press.  *Source code Download*.

Z. Zhu, Y. S. Ong and M. Dash, “Wrapper-Filter Feature Selection Algorithm Using A Memetic Framework”, IEEE Transactions On Systems, Man and Cybernetics - Part B, vol. 37, no. 1, pp. 70-76, Feb 2007. Available here as PDF file. *Source code Download*.

Y. S. Ong, P. B. Nair and K. Y. Lum, “Max-Min Surrogate-Assisted Evolutionary Algorithm for Robust Design”, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 4, pp. 392-404, August 2006. Available here as PDF file.

Z. Z. Zhou, Y. S. Ong, P. B. Nair, A. J. Keane and K. Y. Lum, “Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization”, IEEE Transactions On Systems, Man and Cybernetics - Part C, Vol. 37, No. 1, Jan. 2007, pp. 66-76. Available here as PDF file.

Y. S. Ong, M. H. Lim, N. Zhu and K. W. Wong, “Classification of Adaptive Memetic Algorithms: A Comparative Study”, IEEE Transactions On Systems, Man and Cybernetics - Part B, Vol. 36, No. 1, pp. 141-152, February 2006. Available here as PDF file.

Y. S. Ong and A.J. Keane, “Meta-Lamarckian Learning in Memetic Algorithm”, IEEE Transactions On Evolutionary Computation, Vol. 8, No. 2, pp. 99-110, April 2004. *Featured by Thomson Scientific's Essential Science Indicators as one of the most cited papers in August 2007. Available here as PDF file.

Y. S. Ong, P.B. Nair and A.J. Keane, 'Evolutionary Optimization of Computationally Expensive Problems via Surrogate Modeling', American Institute of Aeronautics and Astronautics Journal, 2003, Vol. 41, No. 4, pp. 687-696. Available here as PDF file. *Source code Download*

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Last Updated Date: 02/02/2011