A Multi-Facet Survey on Memetic Computation

Xianshun Chen, Yew-Soon Ong, Meng-Hiot Lim, Kay Chen Tan

Research output: Journal Publications and ReviewsRGC 62 - Review of books or of software (or similar publications/items)peer-review

459 Citations (Scopus)

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.
Original languageEnglish
Article number6036173
Pages (from-to)591-607
JournalIEEE Transactions on Evolutionary Computation
Volume15
Issue number5
DOIs
Publication statusPublished - Oct 2011
Externally publishedYes

Research 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

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