DocumentCode :
2646999
Title :
Evolutionary techniques for inverse scattering - Current trends and envisaged developments -
Author :
Rocca, P. ; Benedetti, M. ; Donelli, M. ; Massa, A.
Author_Institution :
Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento, Italy
fYear :
2009
fDate :
1-5 June 2009
Firstpage :
1
Lastpage :
4
Abstract :
Concerning the state-of-the-art of the application of EAs to inverse scattering, it should be firstly pointed out that their use in computational electromagnetics has a relatively short history, although their use was growing faster from the beginning. However, many of these algorithms (e.g., PSO and ACO) cannot be considered fully developed inversion techniques when compared to other imaging methodologies. From a theoretical point of view, a further analysis concerned with the convergence issues is certainly mandatory. As a matter of fact, the stochastic nature of EAs is an effective feature, but on the other hand it is also a non-negligible obstacle for industrial applications because the non-predictable performances. Nevertheless, even though further developments are still required, existing EAs strategies already demonstrated their potential impact in dealing with complex and large-scale inversion problems. The flexibility of these algorithms and their key features fully justify the large effort dedicated to the development of EA-based techniques for microwave imaging applications.
Keywords :
computational electromagnetics; electromagnetic wave scattering; evolutionary computation; stochastic processes; computational electromagnetics; evolutionary techniques; inverse scattering; microwave imaging applications; stochastic method; Biomedical measurements; Character generation; Convergence; Cost function; Electromagnetic scattering; Geophysical measurements; Image reconstruction; Inverse problems; Particle swarm optimization; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium, 2009. APSURSI '09. IEEE
Conference_Location :
Charleston, SC
ISSN :
1522-3965
Print_ISBN :
978-1-4244-3647-7
Type :
conf
DOI :
10.1109/APS.2009.5171689
Filename :
5171689
Link To Document :
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