Multi-Objective Optimization in Magnetic Induction Tomography Exciter Design


Magnetic Induction Tomography is a contactless imaging technique which allows reconstructing material parameters of the object under test. One of the crucial elements of such a system is an exciter. Correct design of the excitation unit is essential in order to ensure the highest MIT system sensitivity. In this paper a multi-objective optimization of an exciter is presented. We show how genetic algorithm and the finite element method can be applied in order to minimize the utility function.