Genetic algorithm‐based multi‐objective optimization of an exciter for magnetic induction tomography
ISSN: 0332-1649
Article publication date: 11 September 2009
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.
Keywords
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
Publisher
:Emerald Group Publishing Limited
Copyright © 2009, Emerald Group Publishing Limited