Journal of Electroceramics

, Volume 24, Issue 4, pp 245–260

Analyzing results of impedance spectroscopy using novel evolutionary programming techniques

  • A. B. Tesler
  • D. R. Lewin
  • S. Baltianski
  • Y. Tsur
Article

Abstract

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.

Keywords

Impedance spectroscopy Evolutionary programming Genetic algorithm Genetic programming 

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • A. B. Tesler
    • 1
  • D. R. Lewin
    • 1
  • S. Baltianski
    • 1
  • Y. Tsur
    • 1
  1. 1.Department of Chemical EngineeringTechnion, IITHaifaIsrael

Personalised recommendations