A Hybrid Genetic Expression Programming and Genetic Algorithm (GEP-GA) of Auto-Modeling Electrical Equivalent Circuit for Particle Structure Measurement With Electrochemical Impedance Spectroscopy (EIS)
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @Article{Wan:2023:SJ,
-
author = "Jianfen Wan and Hongrun Yin and Kai Liu and
Chengjun Zhu and Xiaoxiang Guan and Jiafeng Yao",
-
journal = "IEEE Sensors Journal",
-
title = "A Hybrid Genetic Expression Programming and Genetic
Algorithm ({GEP-GA)} of Auto-Modeling Electrical
Equivalent Circuit for Particle Structure Measurement
With Electrochemical Impedance Spectroscopy ({EIS)}",
-
year = "2023",
-
volume = "23",
-
number = "5",
-
pages = "4344--4351",
-
abstract = "A hybrid Genetic Expression Program and Genetic
Algorithm (GEP-GA) is proposed for auto-modelling the
Electrical Equivalent Circuit (EEC) of particle
structure measurement with Electrochemical Impedance
Spectroscopy (EIS). It combines the GEP with the
ability of searching mathematical models and the GA
with the ability of electrical parameters global
searching. The GEP is used to modelling EEC of EIS, the
GA is used to calculate the electrical parameters and
fitness of the EEC. The hybrid method has the advantage
of no need manually set. Firstly, the method is used to
reconstruct EEC of simulation model and simultaneously
calculate its electrical parameters. The results show
that the auto-modelling EEC is same as the
simulation's, and the accuracy of calculating
electrical parameters over 99.5percent. Secondly, a
portable and detachable sensor is proposed to measure
the EIS of particle solution. Finally, the GEP-GA is
verified by auto-modelling the EEC of $10 ~\mu
\text{m}$ Poly Methyl Methacrylate (10 PMMA), the
linear correlation coefficient of EIS between
experiment and auto-modelling EEC ${R}^{{2}}={0.99874}$
. Meanwhile, the EIS of $10 ~\mu \text{m}$ Polystyrene
Magnetic particles (10 PSM), and $10 ~\mu \text{m}$ ,
$20 ~\mu \text{m}$ , $30 ~\mu \text{m}$ Polystyrene
particles (10 PS, 20 PS, 30 PS) are also fitted with
the EEC model of 10 PMMA. The results show that their
linear correlation coefficient ${R}^{{2}}>{0.998}$ . It
indicates that the hybrid of GEP-GA can auto-modelling
the EEC and simultaneously calculate the electrical
parameters. Furthermore, the electrical characters of
the particle suspension and the particle structure can
be measured with these electrical parameters.",
-
keywords = "genetic algorithms, genetic programming, Decoding,
Statistics, Sociology, Encoding, Equivalent circuits,
Sensors, Electrochemical impedance spectroscopy,
auto-modelling electrical equivalent circuit, particle
structure, genetic expression program",
-
DOI = "doi:10.1109/JSEN.2021.3106160",
-
ISSN = "1558-1748",
-
month = mar,
-
notes = "Also known as \cite{9517272}",
- }
Genetic Programming entries for
Jianfen Wan
Hongrun Yin
Kai Liu
Chengjun Zhu
Xiaoxiang Guan
Jiafeng Yao
Citations