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

This paper proposes an evolutionary approach to build the equivalent circuit model for electrochemical impedance spectroscopy. It works by using a hybrid evolutionary modeling algorithm (HEMA) whose main idea is to embed a genetic algorithm (GA) in gene expression programming (GEP) where GEP is employed to discover and optimize 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 optimize 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 optimization.