TY  - GEN
AV  - public
KW  - Electromagnetic imaging
KW  -  elliptic cylinders
KW  -  evolutionary algorithms
ID  - elediasc12572
A1  - Caorsi, Salvatore
A1  - Massa, Andrea
A1  - Pastorino, Matteo
A1  - Raffetto, Mirco
A1  - Randazzo, Andrea
N2  - The application of a global optimization procedure to the detection of buried inhomogeneities is studied in the present paper. The object inhomogeneities are schematized as multilayer infinite dielectric cylinders with elliptic cross sections. An efficient recursive analytical procedure is used for the forward scattering computation. A functional is constructed in which the field is expressed in series solution of Mathieu functions. Starting by the input scattered data, the iterative minimization of the functional is performed by a new optimization method called memetic algorithm. (c) 2003 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
TI  - Detection of Buried Inhomogeneous Elliptic Cylinders by a Memetic Algorithm
UR  - http://www.eledia.org/students-reports/572/
Y1  - 2003/10//
ER  -