Title :
Kriging: a useful tool for electromagnetic device optimization
Author :
Lebensztajn, Luiz ; Marretto, Carina Alexandra Rondini ; Costa, Maurício Caldora ; Coulomb, Jean-Louis
Author_Institution :
Lab. d´´Electrotechnique de Grenoble, France
fDate :
3/1/2004 12:00:00 AM
Abstract :
This paper deals with the use of the Kriging models for objective function approximations and their use on electromagnetic device optimization. The models are compared with some radial basis function neural networks and with the diffuse element method. Comparative tests are done on an analytical function and on the TEAM workshop problem 25.
Keywords :
electromagnetic devices; finite element analysis; function approximation; optimisation; radial basis function networks; Kriging; approximation techniques; diffuse element method; electromagnetic device optimization; finite-element method; neural networks; objective function approximations; radial basis function; Electromagnetic devices; Electromagnetic modeling; Equations; Function approximation; Interpolation; Maximum likelihood estimation; Radial basis function networks; Sampling methods; Testing; Vectors;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2004.824542