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

Abstract

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.

Citation

Ziolkowski, M. and Gratkowski, S. (2009), "Genetic algorithm‐based multi‐objective optimization of an exciter for magnetic induction tomography", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 28 No. 5, pp. 1121-1128. https://doi.org/10.1108/03321640910969386