Title: Towards a Unified Evolutionary & Memetic Search Model

Yew Soon Ong

Professor, Nanyang Technological University,



Abstract:In computational intelligence, it is well established that the core issue to designing of successful stochastic search lies in balancing well between generality (exploration through stochastic variations) and problem specificity (exploitation through lifetime learning). Taking fundamentals from Darwinian principles of natural evolution and Dawkins notion of a meme, for instance, many modern evolutionary algorithms in the field of computational intelligence have opted to incorporate domain expert knowledge, each designed and crafted specifically for addressing particular problems or domains, and with much success reported. This usual practice on manual crafting of dedicated search algorithm to suit a given problem in hand, however, is evolving into self-configuring algorithms that acclimatize adaptively to suit the problem. In this talk, we take a peek into some generalized evolutionary frameworks and theoretic studies of memetic computation, towards a unified evolutionary model that facilitates the emergence and self-configuration of productive search profiles, transpiring from the symbiosis of stochastic variation and lifetime learning.


Biography: Yew-Soon Ong is currently an Associate Professor and Director of the Center for Computational Intelligence at the School of Computer Engineering, Nanyang Technological University, Singapore. He received a PhD degree on Artificial Intelligence in complex design from the Computational Engineering and Design Center, University of Southampton, UK in 2003. His current research interest in computational intelligence spans across memetic computing, evolutionary design and machine learning. He is the founding Technical Editor-in-Chief of Memetic Computing Journal, Chief Editor of the Springer book series on studies in adaptation, learning, and optimization, Associate Editor of IEEE Computational Intelligence Magazine, the IEEE Transactions on Systems, Man and Cybernetics - Part B, Information Sciences, Soft Computing, International Journal of System Sciences and others. He has coauthored over 120 refereed publications and his research grants in the last five years amounts to a total of more than 5 million Singapore dollars. These comprises of research funding from both national and international partners that includes the Singapore National Grid Office, A*STAR, Singapore Technologies Dynamics, Boeing Research & Development (USA), Rolls-Royce Singapore and Honda Research Institute Europe (Germany), National Research Foundation and Media Development Authority- Singapore-MIT GAMBIT Lab. Presently, he also Chairs the IEEE Computational Intelligence Society Emergent Technology Technical Committee and has served as Guest Editors of several journals including the IEEE Transactions on Evolutionary Computation. His research work on Memetic Algorithm was featured by Thomson Scientific's Essential Science Indicators as one of the most cited emerging area of research in August 2007. Recently, he also received the 2012 IEEE Transactions on Evolutionary Computation Outstanding Paper Award for his work pertaining to the modeling of Probabilistic Memetic Framework. In teaching, he has also received numerous awards including the Nanyang Excellence Award for Teaching in 2008, Most Popular Lecturer Award 2009, and recently invited as Fellow of Renaissance Engineering Programme at Nanyang Technological University.