A cultural evolutionary programming approach to automatic analytical modeling of electrochemical phenomena through impedance spectroscopy

Abstract

An approach to automatic analytical modeling of electrochemical impedance spectroscopy data by evolutionary programming based on cultural algorithms is proposed. A solution-search strategy based on a cultural mechanism is exploited for defining the equivalent-circuit model automatically: information on search advance is transmitted to all potential solutions, rather than only to a small inheriting subset, such as in a traditional genetic approach. Moreover, with respect to the state of the art, also specific information related to constraints on the application physics knowledge is transferred. Experimental results of the proposed approach implementation in impedance spectroscopy for general-purpose electrochemical circuit analysis and for corrosion monitoring and diagnosing are presented.

Gene Expression Programming in Sensor Characterization: Numerical Results and Experimental Validation

“…Methods that have been published for this purpose include the CLNS method [12], bilinear transformation [13], and genetic algorithms (GAs) [14], [15]. The problem is much more complex when the actual equivalent circuit is unknown [16], [17], and therefore, more complex search algorithms must be used [18]. Genetic programming [19] and gene expression programming (GEP) [20], [21] have been used to solve this problem.…”

Gene expression programming and genetic algorithms in impedance circuit identification

“…In that work, a basic genetic algorithm was used to estimate the values of the circuit components. A different approach, based on GEP and cultural algorithms, was used for the modelling of electrochemical phenomena in [17].…”

Sensor characterization using gene expression programming evolutionary algorithms

“…The problem is much more complex when the actual equivalent circuit is unknown [10,11]. In this situation, more complex search algorithms must be used [12]. Gene Expression Programming (GEP) [13] was proposed for this effect in [14].…”