A Multi-Facet Survey on Memetic Computation

Author

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

Author_Institution

Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore

Volume

15

Issue

5

fYear

2011

Firstpage

591

Lastpage

607

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.

Keywords

encoding; evolutionary computation; multi-agent systems; problem solving; computational representation; information encoding; meme-inspired computing methodology; memetic automaton; multifacet survey; operational algorithm; problem solving; Algorithm design and analysis; Convergence; Genetics; Memetics; Optimization; Problem-solving; Search problems; 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;

fLanguage

English

Journal_Title

Evolutionary Computation, IEEE Transactions on

Publisher

ieee

ISSN

1089-778X

Type

jour

DOI

10.1109/TEVC.2011.2132725

Filename

6036173