4.7 Article

A Multi-Facet Survey on Memetic Computation

Journal

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
Volume 15, Issue 5, Pages 591-607

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEVC.2011.2132725

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

Funding

  1. Media Development Authority of Singapore
  2. Singapore-MIT GAMBIT Game Laboratory
  3. Center for Computational Intelligence, Nanyang Technological University [C2I]

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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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