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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.
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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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