Journal Special Issues/Edited Books/Book Chapters

 

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.

Book on Evolutionary Computation in Dynamic and Uncertain Environments, Springer Series on Studies in Computational Intelligence, Springer, Berlin, Heidelberg, Vol. 51, ISSN: 1860-949X, ISBN-10: 3-540-49772-2, ISBN-13: 978-3-540-49772-1, March 2007. Co-edited with ShengXiang Yang and Yaochu Jin.

IEEE Transactions on Evolutionary Computation: Special Issue on Advances in Memetic Computation, Vol. 15, No. 5, Oct 2011.  Co-edited with Kay-Chen Tan.

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

IEEE Transactions on Systems, Man and Cybernetics - Part B: Special Issue on Memetic Algorithms, Vol. 37, No. 1, Feb 2007.  Co-edited with Natalio Krasnogor and Hisao Ishibuchi. In response to this 'Memetic Algorithms' special issue's call for papers, we received an unprecedented number of submissions, 54 in total, reflecting the vigor and health of this research field. Each of this submissions was rigorously reviewed by at least three independent reviewers. Given the volume of papers received, we were able to accept only the top 10 most outstanding submissions. Thus many papers that did not make it into the special issue were still of very good quality. The papers that appear in this special issue reflect the state-of-the-art in research, development, and application of memetic algorithms to a wide range of relevant topics and applications.

Z. Zhu, Y. S. Ong and J.-L. Kuo, "Feature Selection Using Single/Multi-Objective Memetic Frameworks", Springer Series on Studies in Computational Intelligence, Book on Multi-Objective Memetic Algorithms,, Springer Verlag, pp. 111-132, Feb 2009. Available here as PDF file.

D. Lim, Y. S. Ong, M. H. Lim and Y. Jin, "Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty", Book on Evolutionary Computation in Dynamic and Uncertain Environments, Springer Series on Studies in Computational Intelligence, Springer, Berlin, Heidelberg, Vol. 51, pg. 437-456, April 03, 2007. Available here as PDF file.

Co-editor, Advances in Natural Computation Part I, Lecture Notes on Computer Science, LNCS 3610, Springer Verlag, 2005.

Co-editor, Advances in Natural Computation Part II, Lecture Notes on Computer Science, LNCS 3611, Springer Verlag, 2005.

Co-editor, Advances in Natural Computation Part III, Lecture Notes on Computer Science, LNCS 3612, Springer Verlag, 2005.

K. W. Wong, , C. C. Fung, T. D. Gedeon  and Y. S. Ong, “Generalisation of Neural Networks for Intelligent Data Analysis, in D. Wang (Ed) Neural Networks Applications in Information Technology and Web Engineering, 2005.

Y. S. Ong, P. B. Nair, A. J. Keane and K. W. Wong,  “Surrogate-Assisted Evolutionary Optimization Frameworks for High-Fidelity Engineering Design Problems”, Knowledge Incorporation in Evolutionary Computation, editor: Y. Jin, Studies in Fuzziness and Soft Computing Series, Springer Verlag, pp. 307 - 331, 2004. Available here as PDF file