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
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;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2003.816428
