Resumen de Genetic algorithm‐based multi‐objective optimization of an exciter for magnetic induction tomography

Marcin Ziolkowski, Stanislaw Gratkowski

• Purpose – The purpose of this paper is to present the methodology of designing an exciter for magnetic induction tomography (MIT). The design of the exciter must satisfy following requirements: maximize MIT system sensitivity and minimize harmful influence on electronic MIT equipment.

  Design/methodology/approach – Two objective functions are considered, namely: a magnetic flux density in the protected regions and a module of the eddy current density vector in the object under test in the vicinity of a sensor. The paper demonstrates a multi‐objective optimization technique (based on the ε‐constrained method) which, by coupling the finite‐element method with a genetic algorithm (GA), supports the design of the exciter.

  Findings – It is possible to design in a relatively simple way an exciter for MIT under the given assumptions.

  Originality/value – The paper is of value in presenting a detailed description of the multi‐objective optimization procedure.