DocumentCode :
1473111
Title :
Memetic Computation—Past, Present & Future [Research Frontier]
Author :
Ong, Yew-Soon ; Lim, Meng Hiot ; Chen, Xianshun
Author_Institution :
Nanyang Technol. Univ., Singapore, Singapore
Volume :
5
Issue :
2
fYear :
2010
fDate :
5/1/2010 12:00:00 AM
Firstpage :
24
Lastpage :
31
Abstract :
Taking a lead from the multi-faceted definitions and roles of the term "meme" in memetics, a plethora of potentially rich memetic computing methodologies, frameworks and operational memeinspired algorithms have been developed with considerable success in several realworld domains in the last two decades. This article showcase several successful deployments of memetic computing methodologies for solving complex problems, from science, engineering to digital arts.
Keywords :
evolutionary computation; problem solving; search problems; memetic computation; operational meme-inspired algorithms; problem solving; Aerodynamics; Computational intelligence; Design optimization; Dynamic programming; Dynamic scheduling; Evolutionary computation; Job shop scheduling; Problem-solving; Processor scheduling; Unmanned aerial vehicles;
fLanguage :
English
Journal_Title :
Computational Intelligence Magazine, IEEE
Publisher :
ieee
ISSN :
1556-603X
Type :
jour
DOI :
10.1109/MCI.2010.936309
Filename :
5447938
Link To Document :
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