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
BI6121 High Performance Computing in Bioinformatics, Master of Science (Bioinformatics)
CSC207 Software Engineering, Year 2 Core
 
Previous Courses Taught
SC206 Microprocessor Systems Design

Yew-Soon Ong

 

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Yew-Soon Ong is currently 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 currently also Director of the Centre for Computational Intelligence.

He is co-editor-in-chief of Memetic Computing Journal (Springer), associate editor of IEEE Trans SMC-B, International Journal of Systems Science, editorial board member of Soft Computing Journal, guest editors of IEEE Trans SMC-B, Soft Computing Journal, Journal of Genetic Programming and Evolvable Machines, and has co-edited a volume on Advances in Natural Computation published by Springer Verlag. His current research interests lie in computational intelligence spanning: Memetic Computing, Evolutionary Optimization Using Approximation, Complex Design Optimization, Grid Computing and Soft Computing.

 

Special Issue on Advances in Memetic Computation, IEEE Transactions on Evolutionary Computation, Submission deadline: March 31, 2010.

Springer-Verlag Book Series: 'STUDIES IN ADAPTATION, LEARNING, AND OPTIMIZATION', Editors-in-Chief: Meng-Hiot Lim and Yew-Soon Ong.

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).

New Book on Multi-Objective Memetic Algorithms, Springer Series on Studies in Computational Intelligence, Springer, Berlin, Heidelberg, Vol. 171, ISBN: 978-3-540-88050-9, Feb 2009. Co-edited with Chi-Keong, Goh and Kay Chen, Tan.

Special Issue on 'Emerging Trends in Soft Computing - Memetic Algorithms', Soft Computing Journal: Volume 13, Issue 8, 2009. Co-edited with Meng-Hiot Lim, Ferrante Neri and Hisao Ishibuchi.

Emergent Technologies Task Force on Memetic Computing, IEEE Computational Intelligence Society Emergent Technology Technical Committee.

 

Selected Refereed Publications

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, Accepted August 2009.

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, Accepted August 2009.

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, Vol. 1, No. 2, pp. 85-100, June, 2009. Available here.

Q. C. 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. Available 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.  Available at MIT Press.  *Source code Download*.

D. Lim, Y. Jin, Y. S. Ong and B. Sendhoff, “Generalizing Surrogate-assisted Evolutionary Computation”, IEEE Transactions on Evolutionary Computation, Accepted & In Press, 2008. *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. 99, No. 1, 2008.  Available here.

Q. C. Nguyen,  Y. S. Ong, H. Soh and J.-L. Kuo, "Multiscale Approach to Explore the Potential Energy Surface of Water Clusters (H2O)8 n<=8", Journal of Phys. Chem. A,  Vol. 112, No. 28, pp. 6257 - 6261, 2008.

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*.  ISI Citation Counts: 12, Scopus Citation Counts: 16.

F. Neri, J. Toivanen, G. L. Cascella and Y. S. Ong, “An Adaptive Multimeme Algorithm for Designing HIV Multidrug Therapies”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 4, No. 2, pp. 264-278, Apr-Jun 2007. Available here as PDF file. ISI Citation Counts: 12, Scopus Citation Counts: 14.

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. ISI Citation Counts: 21, Scopus Citation Counts: 34.

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. ISI Citation Counts: 11, Scopus Citation Counts: 18.

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. ISI Citation Counts: 55, Scopus Citation Counts: 68.

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. Available here as PDF file. ISI Citation Counts: 92, Scopus Citation Counts: 114.

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 PS file. ISI Citation Counts: 48, Scopus Citation Counts: 72.
 

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Last Updated Date: 21/07/2009