eprintid: 572
rev_number: 5
eprint_status: archive
userid: 5
dir: disk0/00/00/05/72
datestamp: 2011-03-25
lastmod: 2013-06-28 07:28:09
status_changed: 2013-06-28 07:28:09
type: techreport
metadata_visibility: show
item_issues_count: 0
creators_name: Caorsi, Salvatore
creators_name: Massa, Andrea
creators_name: Pastorino, Matteo
creators_name: Raffetto, Mirco
creators_name: Randazzo, Andrea
title: Detection of Buried Inhomogeneous Elliptic Cylinders by a Memetic Algorithm
ispublished: pub
subjects: TU
full_text_status: public
keywords: Electromagnetic imaging, elliptic cylinders, evolutionary algorithms
abstract: 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.
date: 2003-10
date_type: published
institution: University of Trento
department: informaticat
refereed: TRUE
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citation:   Caorsi, Salvatore and Massa, Andrea and Pastorino, Matteo and Raffetto, Mirco and Randazzo, Andrea  (2003) Detection of Buried Inhomogeneous Elliptic Cylinders by a Memetic Algorithm.  [Technical Report]     
document_url: http://www.eledia.org/students-reports/572/1/DISI-11-013.R50.pdf