Image reconstruction in electrical impedance tomography (EIT) is a highly ill-posed

non-linear inverse problem.Especially in static EIT

the modified Newton-Raphson (MNR) reconstruction algorithm with regularization technique based on minimizing the object function is usually not stable

even divergent

due to the serious image reconstruction model error and measurement noise.A new static image reconstruction method for EIT based on genetic algorithm (GA-EIT) is proposed in this paper

in which the global optimized solution for EIT problem will be converged by evolution without need of regularization.The experimental results also indicate that the performance (including the precision and space resolution in reconstructing the static EIT image) of the GA-EIT algorithm is better than that of the MNR algorithm.