An evolutionary approach for modeling the equivalent circuit for electrochemical impedance spectroscopy

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Cao:2003:Aeafmtecfeis,

• author = "Hongqing Cao and Jingxian Yu and Lishan Kang",
• title = "An evolutionary approach for modeling the equivalent circuit for electrochemical impedance spectroscopy",
• booktitle = "Proceedings of the 2003 Congress on Evolutionary Computation CEC2003",
• editor = "Ruhul Sarker and Robert Reynolds and Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and Tom Gedeon",
• pages = "1819--1825",
• year = "2003",
• publisher = "IEEE Press",
• address = "Canberra",
• publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
• month = "8-12 " # dec,
• organisation = "IEEE Neural Network Council (NNC), Engineers Australia (IEAust), Evolutionary Programming Society (EPS), Institution of Electrical Engineers (IEE)",
• ISBN = "0-7803-7804-0",
• notes = "CEC 2003 - A joint meeting of the IEEE, the IEAust, the EPS, and the IEE.",
• 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",
• URL = "http://www.ees.adelaide.edu.au/people/enviro/cao/2003-05.pdf",
• DOI = "doi:10.1109/CEC.2003.1299893",
• 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.",
• size = "7 pages",

}

Genetic Programming entries for Hong-Qing Cao Jingxian Yu Li-Shan Kang

Citations