• DocumentCode
    787760
  • Title

    A comparison of the genetic algorithm and the subregion approach in the optimization of slider air bearings for sub-7-nm flying height

  • Author

    Zhang, J. ; Hanke, V.A. ; Talke, E.F.

  • Author_Institution
    Center for Magnetic Recording, Univ. of California, San Diego, CA, USA
  • Volume
    39
  • Issue
    5
  • fYear
    2003
  • Firstpage
    2432
  • Lastpage
    2434
  • Abstract
    The genetic algorithm (GA) and the subregion approach are implemented with a finite element based air bearing simulator. Starting from an old pico slider design, three test cases were carried out for target flying heights of 7, 5, and 3.5 nm. Both the GA and the subregion approach yield promising results. A hybrid scheme combining the two methods appears to be a potential direction for future optimization of air bearings.
  • Keywords
    genetic algorithms; magnetic heads; 3.5 nm; 5 nm; 7 nm; finite element based air bearing simulator; genetic algorithm; optimization; slider air bearings; subregion approach; Constraint optimization; Design optimization; Finite element methods; Genetic algorithms; Helium; Magnetic recording; Optimization methods; Prototypes; Simulated annealing; Testing;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2003.816428
  • Filename
    1233100