The reconstruction of material parameters using genetic algorithm and finite difference time domain method

Using the data in the electromagnetic scattering response of sensors, this paper presents a novel method to reconstruct the material parameters by making full use of Genetic Algorithm (GA) and finite-difference time-domain (FDTD) algorithm. The unknown material is illuminated by a specific electromagnetic wave, and the scattering response is collected by corresponding sensors. And the FDTD algorithm is used to calculate the time domain response of each individual in the population of GA. Based on the similarity between the time domain scattering measurement data and calculated results obtained from FDTD, the CA can be used to extract the unknown parameters in complex search space. A simple evolution strategy is designed to determine the unknown material parameters, i.e., permittivity, conductivity, and the size of object, etc. As compared to the traditional measurement in frequency domain, this method is easy to understand and realize.