Research of electrical impedance tomography based on the Modified Particle Swarm Optimization

Abstract

The particle swarm optimization (PSO) is a robust stochastic evolutionary computation algorithm based on the movement and intelligence of bird swarm, it can overcome the drawbacks of the Newton-like iteration algorithm in EIT. This paper presents the Modified Particle Swarm Optimization(M-PSO) algorithm to reconstruction the conductivity distribution in EIT imaging, where the circle-domain solved is discretized into irregular polygons by the Finite Element Method (FEM), trigonometric current pattern and the M-PSO are adopted to reconstruct the conductivity distribution where has one or two targets in the circle-domain. The numerical simulation result shows that the methods given in this paper can reflect accurately the conductivity distribution and locates the targets.