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
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