A Multi-Facet Survey on Memetic Computation

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 simpl...

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Vydáno v:IEEE transactions on evolutionary computation Ročník 15; číslo 5; s. 591 - 607
Hlavní autoři: Chen, Xianshun, Ong, Yew-Soon, Lim, Meng-Hiot, Tan, Kay Chen
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.10.2011
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Adaptive algorithms
Adaptive memetic algorithms
Algorithm design and analysis
Algorithms
Automation
Computation
Convergence
evolution and learning
Evolutionary algorithms
Genetics
hybridization
memes imitation
memetic algorithm design issues
memetic algorithms in uncertain environments
memetic automaton
memetic computation
Memetics
multiagent system
multiobjective memetic algorithms
Optimization
Problem-solving
Representations
Search problems
surrogate-assisted memetic algorithms
ISSN:1089-778X, 1941-0026
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Shrnutí: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.
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ISSN:1089-778X
1941-0026
DOI:10.1109/TEVC.2011.2132725