IEEE TEVC Special Issue on "Multi-task Evolutionary Computation"
Guest Editors: Abhishek Gupta, Singapore Institute of Manufacturing Technology, Singapore; , 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 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.
Memetic Computation: The Mainspring of Knowledge Transfer in a Data-Driven Optimization Era
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.
Feature Selection Using Single/Multi-Objective Memetic Frameworks
Authors: Z. Zhu, and J.-L. Kuo
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.
Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty
Authors: D. Lim, , M. H. Lim and Y. Jin
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.
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.
Journal of Genetic Programming and Evolvable Machine: Special Issue on Evolutionary Computation in Dynamic and Uncertain Environments
Vol. 7, No. 4, December 2006. Co-edited with Yaochu Jin.
Advances in Natural Computation
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.
Generalisation of Neural Networks for Intelligent Data Analysis
Authors: K. W. Wong, C. C. Fung, T. D. Gedeon and
In D. Wang (Ed) Neural Networks Applications in Information Technology and Web Engineering, 2005.
Surrogate-Assisted Evolutionary Optimization Frameworks for High-Fidelity Engineering Design Problems
Authors: , P. B. Nair, A. J. Keane and K. W. Wong
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.