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
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