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.