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Yew-Soon Ong
Researcher at Nanyang Technological University
Publications - 455
Citations - 19047
Yew-Soon Ong is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Evolutionary algorithm & Computer science. The author has an hindex of 58, co-authored 390 publications receiving 14611 citations. Previous affiliations of Yew-Soon Ong include University of Southampton & Agency for Science, Technology and Research.
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Extreme Learning Machine
Erik Cambria,Guang-Bin Huang,Liyanaarachchi Lekamalage Chamara Kasun,Hongming Zhou,Chi-Man Vong,Jiarun Lin,Jianping Yin,Zhiping Cai,Qiang Liu,Kuan Li,Victor C. M. Leung,Liang Feng,Yew-Soon Ong,Meng-Hiot Lim,Anton Akusok,Amaury Lendasse,Francesco Corona,Rui Nian,Yoan Miche,Paolo Gastaldo,Rodolfo Zunino,Sergio Decherchi,Xuefeng Yang,Kezhi Mao,Beom-Seok Oh,Jehyoung Jeon,Kar-Ann Toh,Andrew Beng Jin Teoh,Jaihie Kim,Hanchao Yu,Yiqiang Chen,Junfa Liu +31 more
TL;DR: This special issue includes eight original works that detail the further developments of ELMs in theories, applications, and hardware implementation.
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Meta-Lamarckian learning in memetic algorithms
Yew-Soon Ong,Andy J. Keane +1 more
TL;DR: The proposed approaches aid designers working on complex engineering problems by reducing the probability of employing inappropriate local search methods in a MA, while at the same time, yielding robust and improved design search performance.
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Classification of adaptive memetic algorithms: a comparative study
TL;DR: This paper presents a classification of memes adaptation in adaptive MAs on the basis of the mechanism used and the level of historical knowledge on the memes employed, and the asymptotic convergence properties of the adaptive M as considered are analyzed.
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Multifactorial Evolution: Toward Evolutionary Multitasking
TL;DR: This paper formalizes the concept of evolutionary multitasking and proposes an algorithm to handle multiple optimization problems simultaneously using a single population of evolving individuals and develops a cross-domain optimization platform that allows one to solve diverse problems concurrently.
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A Multi-Facet Survey on Memetic Computation
TL;DR: A comprehensive multi-facet survey of recent research in memetic computation is presented and includes simple hybrids, adaptive hybrids and memetic automaton.