Journal
JOURNAL OF ELECTROCERAMICS
Volume 24, Issue 4, Pages 245-260Publisher
SPRINGER
DOI: 10.1007/s10832-009-9565-z
Keywords
Impedance spectroscopy; Evolutionary programming; Genetic algorithm; Genetic programming
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Funding
- Technion's Fund for Promotion of Research
- I. Goldberg Fund for Electronic Research
- Center for Absorption in Science, Israeli Ministry of Immigrant Adsorption
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This paper discusses the application of evolutionary programming methods to the problem of analyzing impedance spectroscopy results. The basic approach is a direct-problem one, i.e., to find a time constant distribution function that would create similar impedance results as the measured ones, within experimental error. Two complementary methods have been applied and are discussed here: Genetic Algorithm (GA) and Genetic Programming (GP). A GA can be applied when a known (or desired) model exists, whereas GP can be used to create new models where the only a-priori knowledge is their smoothness and their non-negativity. GP is tuned to prefer relatively non-complex models through penalization of unnecessary complexity.
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