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

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4 Author(s)
Hui Zhang ; Defense Key Lab. on Fuze Dynamic Characteristics, 212th Res. Inst. of Arms Ind. Group, Xi''an, China ; Haibin Wang ; Yongjun Zhou ; Xiaodi Zhang

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.

Published in:

Natural Computation (ICNC), 2012 Eighth International Conference on

Date of Conference:

29-31 May 2012

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