• 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