A multi-facet survey on memetic computation

Please use this identifier to cite or link to this item: https://doi.org/10.1109/TEVC.2011.2132725

Title:	A multi-facet survey on memetic computation
Authors:	Chen, X. Ong, Y.-S. Lim, M.-H. Tan, K.C.
Keywords:	Adaptive memetic algorithms evolution and learning hybridization memes imitation memetic algorithm design issues memetic algorithms in uncertain environments memetic automaton memetic computation multiagent system multiobjective memetic algorithms surrogate-assisted memetic algorithms
Issue Date:	Oct-2011
Citation:	Chen, X., Ong, Y.-S., Lim, M.-H., Tan, K.C. (2011-10). A multi-facet survey on memetic computation. IEEE Transactions on Evolutionary Computation 15 (5) : 591-607. ScholarBank@NUS Repository. https://doi.org/10.1109/TEVC.2011.2132725
Abstract:	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 paper, a comprehensive multi-facet survey of recent research in memetic computation is presented. © 2011 IEEE.
Source Title:	IEEE Transactions on Evolutionary Computation
URI:	http://scholarbank.nus.edu.sg/handle/10635/84429
ISSN:	1089778X
DOI:	10.1109/TEVC.2011.2132725
Appears in Collections:	Staff Publications

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