TY  - GEN
ID  - elediasc12353
A1  - Caramanica, Federico
A1  - Donelli, Massimo
A1  - Oliveri, Giacomo
A1  - Rocca, Paolo
A1  - Massa, Andrea
KW  - Evolutionary Algorithms
KW  -  Inverse Scattering
AV  - public
UR  - http://www.eledia.org/students-reports/353/
Y1  - 2011/01//
TI  - Evolutionary Algorithms for Inverse Scattering: Advances and State-of-the-art Comparisons
N2  - This work is aimed at presenting the recent advances and the procedures available in the state-of-the-art for the solution of inverse scattering problems through Evolutionary Algorithms (EAs). The main emphasis is on the use of population-based optimization algorithms used for the retrieval of unknown objects embedded in an inaccessible region when illuminated by a set of microwave radiations. Starting from a description of the general architecture of EAs, advantages and limitation of state-of-the-art approached are pointed out and discussed.
ER  -