Impedance Spectroscopy Genetic Programming
Impedance Spectroscopy by Genetic Programming (ISGP) has been developed to solve the ill-posed inverse problem of seeking a distribution function of relaxation times (DFRT) from IS experimental results. The a-priori knowledge used is to assume the Debye kernel for dielectric systems, and to assume that the DFRT is a combination of simple peaks. An evolutionary programming technique, GP, is used in order to identify "the best" DFRT. Assessment of each model is done taking into account its complexity and the fitness of its prediction to the measured data.
ISGP is free!
If the program helps you, please cite us properly, for instance:
Tesler et al., J. Electroceramics, and: Tsur and Baltianski, Rare Metal Materials and Engineering, 35, 452-454 Suppl. 3, (2006).
The relevant papers' abstracts can be found under Publications in this site.
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The newest version of ISGP is from December 2020.This version of ISGP runs on Windows using Matlab 2018a.
