Journal Special Issues/Edited Books/Book Chapters

 

IEEE TEVC Special Issue on "Multi-task Evolutionary Computation "Call for Papers", Guest Editors: Abhishek Gupta, Singapore Institute of Manufacturing Technology, Singapore, Yew-Soon Ong, Nanyang Technological University, Singapore, Kenneth De Jong, George Mason University, USA, Mengjie Zhang, Victoria University of Wellington, New Zealand. Submission open: May 1, 2020, Submission Deadline: November 1, 2020.


Frontiers in Neuroscience: Cognitive Multitasking: Towards Augmented Intelligence, In Press 2020.  Co-edited with Liang Feng, Huajin Tang and Will Browne. In response to this special issue's call for papers, we have 58 in potential contributors in total, reflecting the vigor and health of this research field. Given the volume of papers received, we were able to accept only the top 11 most outstanding submissions for publication.


New Book on 'Memetic Computation: The Mainspring of Knowledge Transfer in a Data-Driven Optimization Era','Memetic Computation: The Mainspring of Knowledge Transfer in a Data-Driven Optimization Era'. Abstract:This book bridges the widening gap between two crucial constituents of computational intelligence: the rapidly advancing technologies of machine learning in the digital information age, and the relatively slow-moving field of general-purpose search and optimization algorithms. With this in mind, the book serves to offer a data-driven view of optimization, through the framework of memetic computation (MC). Springer Series on Studies in Adaptation, Learning, and Optimization, Springer, Berlin, Heidelberg 2019. Co-authored with Abhishek Gupta.


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 Hisao Ishibuchi.



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.


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.


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.


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 Yaochu Jin.


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