%0 Generic
%A Caramanica, Federico
%A Donelli, Massimo
%A Oliveri, Giacomo
%A Rocca, Paolo
%A Massa, Andrea
%D 2011
%F elediasc12:353
%K Evolutionary Algorithms, Inverse Scattering
%T Evolutionary Algorithms for Inverse Scattering: Advances and State-of-the-art Comparisons
%U http://www.eledia.org/students-reports/353/
%X 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.