This paper deals with inverse scattering techniques based on genetic algorithms (GAs), and is devoted to microwave imaging and microwave nondestructive testing and evaluation (NDT/NDE). In the framework of near-field spatial-domain algorithms, a brief overview of current trends and future developments of the research work is given. Numerical results of selected simulations, modeling realistic geometries, are presented in order to assess the effectiveness of the proposed optimization methodology. Finally, a discussion fixes some guidelines and points out the open problems to be addressed in order to enlarge the application area of GA-based inverse scattering techniques.

Genetic Algorithm (GA) Based Techniques for 2D Microwave Inverse Scattering / Massa, Andrea. - ELETTRONICO. - (2002).

Genetic Algorithm (GA) Based Techniques for 2D Microwave Inverse Scattering

Massa, Andrea
2002-01-01

Abstract

This paper deals with inverse scattering techniques based on genetic algorithms (GAs), and is devoted to microwave imaging and microwave nondestructive testing and evaluation (NDT/NDE). In the framework of near-field spatial-domain algorithms, a brief overview of current trends and future developments of the research work is given. Numerical results of selected simulations, modeling realistic geometries, are presented in order to assess the effectiveness of the proposed optimization methodology. Finally, a discussion fixes some guidelines and points out the open problems to be addressed in order to enlarge the application area of GA-based inverse scattering techniques.
2002
Trento
Università degli Studi di Trento, Dipartimento di Ingegneria e Scienza dell'Informazione
Genetic Algorithm (GA) Based Techniques for 2D Microwave Inverse Scattering / Massa, Andrea. - ELETTRONICO. - (2002).
Massa, Andrea
File in questo prodotto:
File Dimensione Formato  
DISI-11-094.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 348.11 kB
Formato Adobe PDF
348.11 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/358201
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact