An evolutionary approach for modeling the equivalent circuit for electrochemical impedance spectroscopy
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Cao:2003:Aeafmtecfeis,
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author = "Hongqing Cao and Jingxian Yu and Lishan Kang",
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title = "An evolutionary approach for modeling the equivalent
circuit for electrochemical impedance spectroscopy",
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booktitle = "Proceedings of the 2003 Congress on Evolutionary
Computation CEC2003",
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editor = "Ruhul Sarker and Robert Reynolds and
Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and
Tom Gedeon",
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pages = "1819--1825",
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year = "2003",
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publisher = "IEEE Press",
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address = "Canberra",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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month = "8-12 " # dec,
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organisation = "IEEE Neural Network Council (NNC), Engineers Australia
(IEAust), Evolutionary Programming Society (EPS),
Institution of Electrical Engineers (IEE)",
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ISBN = "0-7803-7804-0",
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notes = "CEC 2003 - A joint meeting of the IEEE, the IEAust,
the EPS, and the IEE.",
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keywords = "genetic algorithms, genetic programming, Gene
Expression Programming, GEP, HEMA, Chemistry,
Electrochemical impedance spectroscopy, Equivalent
circuits, Gene expression, Laboratories, Linear
programming, Programming profession, Software
engineering, electrochemical impedance spectroscopy,
equivalent circuits, component parameters,
electrochemical impedance spectroscopy, equivalent
circuit, hybrid evolutionary modelling, parameter
optimisation",
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URL = "http://www.ees.adelaide.edu.au/people/enviro/cao/2003-05.pdf",
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DOI = "doi:10.1109/CEC.2003.1299893",
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abstract = "This paper proposes an evolutionary approach to build
the equivalent circuit model for electrochemical
impedance spectroscopy. It works by using a hybrid
evolutionary modelling algorithm (HEMA) whose main idea
is to embed a genetic algorithm (GA) in gene expression
programming (GEP) where GEP is employed to discover and
optimise the structure of a circuit, while the GA is
employed to optimize the parameters of all the electric
components contained in the circuit. By running the
HEMA, the computer can automatically find suitable
circuit structures as well as optimise the component
parameters simultaneously. Compared with most available
methods, it has the advantages of automation of
modeling process, great diversity of model structures,
high stability and efficiency of parameter
optimisation.",
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size = "7 pages",
- }
Genetic Programming entries for
Hong-Qing Cao
Jingxian Yu
Li-Shan Kang
Citations