Colloquia / Seminars / Industry Talks

Memetic computation is a paradigm that uses the notion of meme(s) as units of information encoded in computational representations for the purpose of problem-solving. It covers a plethora of potentially rich meme-inspired computing methodologies, frameworks and operational algorithms including simple hybrids, adaptive hybrids and memetic automaton. In this talk, a brief insight to the multi-facet view of meme in memetic computation will be provided. The design issues anchoring on hybridization aspects of memetic computation is also reviewed. Subsequently, the talk takes focus on the algorithmic aspects and properties of a recently proposed Probabilistic Memetic Framework that formalizes the design of adaptive hybrids or adaptive memetic algorithm as opposed to the typical ad-hoc means of design. Finally, we take a peek into the journey towards memetic computing and gain some insights into agent computing framework as the key towards more enriching memetic computation research.

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. Dr. Ong presently serves as Editor-in-chief of Memetic Computing Journal (by Springer), Chief editor of Book Series on Studies in Adaptation, Learning, and Optimization (by Springer), associate editor of IEEE Computational Intelligence Magazine, IEEE Transactions on Systems, Man, Cybernetics- Part B, International Journal of Systems Science. He is also editorial board member of Soft Computing Journal and several other international journals, as well as Guest editors of IEEE Transactions on Evolutionary Computation, IEEE Trans SMC-B, Soft Computing Journal, Journal of Genetic Programming and Evolvable Machines and Soft Computing Journal. He has 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. His current research interests include computational intelligence spanning memetic computing, complex design optimization, cloud computing, and machine learning. He is also Chair of the Task Force on Memetic Algorithms in the IEEE Computational Intelligence Society Emergent Technology Technical Committee. To date, he has coauthored over 85 refereed publications comprising of 35 refereed journals, 58 refereed conference papers and 5 book chapters, excluding 5 edited books, 3 edited special issues, 2 patents filed. His research grants in the last five years amounts to more than 3.5 million Singapore dollars. These comprises of external research funding from both national and international partners that includes the Singapore National research Foundation, Media Development Authority, National Grid Office-A*STAR, Singapore Technologies, Boeing Research & Technology (USA), Rolls-Royce ATC and Honda Research Institute Europe (Germany).