Gene expression programming and genetic algorithms in impedance circuit identification
Janeiro, F. M.
Acta IMEKO Vol. 1, Nº 1, pp. 19 - 25, July, 2012.
ISSN (print): 2221-870X
Journal Impact Factor: (in )
Digital Object Identifier: 10.21014/acta_imeko.v1i1.16
Impedance circuit identification through spectroscopy is often used to characterize sensors. When the circuit topology is known, it has
been shown that the component values can be obtained by genetic algorithms. Also, gene expression programming can be used to
search for an adequate circuit topology. In this paper, an improved version of the impedance circuit identification based on gene
expression programming and hybrid genetic algorithm is presented to both identify the circuit and estimate its parameters. Simulation
results are used to validate the proposed algorithm in different situations. Further validation is presented from measurements on a
circuit that models a humidity sensor and also from measurements on a viscosity sensor.