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Evolutionary Algorithms for Inverse Scattering: Advances and State-of-the-art Comparisons
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.
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