Improving the convergence of gene expression programming in impedance spectroscopy

Pedro Ramos, Fernando Janeiro

Abstract

This paper describes the latest major improvement made to gene expression programming (GEP) for use in impedance spectroscopy. This change consists on systematically analysing the fittest element of each population of the GEP to identify circuit components that are useless in the sense that they do not significantly contribute to the impedance response at the analysed frequency range. These components are then removed from the circuit making it less complex. The performance of the proposed improvements is analyzed on both simulated and measured impedance frequency responses.

Keywords

Impedance Spectroscopy, Gene Expression Programming, Genetic Algorithms

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IMEKO-TC4-2013-039.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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