Abstract
The application of a global optimization procedure to the detection of buried inhomogeneities is studied in the present paper. The electromagnetic inverse problem is recast as a global optimization problem and iteratively solved by a differential evolution method. The approach is applied to two-dimensional configurations. The paper provides the mathematical formulation of the method together with a discussion on the application of the stochastic optimization procedure. Finally, the results of some numerical simulations are reported.
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