DocumentCode
1247489
Title
A stochastically optimized adaptive procedure for the location of MAS auxiliary monopoles: the case of electromagnetic scattering by dielectric cylinders
Author
Heretakis, Ioannis I. ; Papakanellos, Panagiotis J. ; Capsalis, Christos N.
Author_Institution
Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece
Volume
53
Issue
3
fYear
2005
fDate
3/1/2005 12:00:00 AM
Firstpage
938
Lastpage
947
Abstract
A genetically optimized technique that fully automates the potentially laborious allocation of the auxiliary monopoles for the method of auxiliary sources (MAS) is presented for the problem of electromagnetic (EM) scattering by isotropic dielectric cylinders with various cross sections. The proposed technique uses as input information not only the geometry of the scatterer but also the exciting field and the material properties of the cylinders are implicitly taking part in the optimization procedure. The resulting auxiliary surfaces, where the simulating monopoles are situated, are appropriately adapted to the original boundary surface and the MAS modeling is greatly facilitated. In addition, certain considerations are taken into account in order to avoid undesirable numerical dependencies between the fictitious monopoles. Finally, the accuracy of the numerical method combined with overdetermined systems of equations is examined for isotropic cylinders of various geometries and dielectric characteristics.
Keywords
boundary-value problems; dielectric bodies; electromagnetic wave scattering; genetic algorithms; MAS auxiliary monopoles; auxiliary sources method; boundary value problems; electromagnetic scattering; genetic algorithms; isotropic dielectric cylinders; stochastically optimized adaptive procedure; Boundary conditions; Computer aided software engineering; Dielectric losses; Electrodynamics; Electromagnetic scattering; Engine cylinders; Genetic algorithms; Information geometry; Material properties; Optimization methods; Boundary value problems; electromagnetic (EM) scattering; genetic algorithms (GAs); method of auxiliary sources;
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/TAP.2004.842699
Filename
1406223
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