RANDAZZO , Andrea

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...

The optimization of the directivity of the difference patterns in monopulse array antennas is considered. A subarray configuration is used in order to avoid the need for the implementation of two separate feed networks. An hybrid differential evolution method is applied to contemporarily determinates the weights of the subarrays and the group...

This paper describes a new microwave diagnostic tool for nondestructive evaluation. The approach, developed in the spatial domain, is based on the numerical computation of the inhomogeneous Green's function in order to fully exploit all the available a priori information of the domain under test. The heavy reduction of the computational...

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New steps toward the development of a microwave axial tomomograph for inspecting dielectric materials are reported in this paper. The design of the proposed imaging system is described and the results of preliminary forward scattering simulations are reported in order to define the requirements for an efficient treatment of the measured scattered data.

The optimization of difference patterns of monopulse antennas is considered. The synthesis problem is recast as an optimization problem by defining a suitable cost function. In particular. in this paper, the cost function is based on constraints on the side-lobe levels. A subarray configuration is adopted and the excitations of the difference...

Two algorithms for image reconstruction in electromagnetic imaging are proposed. The first approach concerns the application of a hybrid version of the genetic algorithm to tomographic imaging of dielectric configurations. In the second approach, buried inhomogeneities are schematized as multilayer infinite dielectric cylinders with elliptic...

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Two algorithms for image reconstruction in electromagnetic imaging are proposed. The first approach concerns the application of a hybrid version of the genetic algorithm to tomographic imaging of dielectric configurations. In the second approach, buried inhomogeneities are schematized as multilayer infinite dielectric cylinders with elliptic...

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A multi-source illumination framework is used for the detection of cylindrical inhomogeneities. The scatterers are modeled as multiplayer elliptic cylinders. The electromagnetic inverse problem is recast as an optimization problem, which is solved by an efficient memetic algorithm. The memetic algorithm combines genetic operators with a local...

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Swarm intelligence denotes a class of new stochastic algorithms inspired by the collective social behavior of natural entities (e.g., birds, ants, etc.). Such approaches have been proven to be quite effective in several applicative fields, ranging from intelligent routing to image processing. In the last years, they have also been successfully...

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The application of the differential evolution method in two important areas of applied electromagnetics is discussed in this chapter. The first one refers to the synthesis and design of array antennas, for which differential evolution, as well as other evolutionary algorithms, is now considered a fundamental design tool. The second one concerns...

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