摘要
粒子群算法是一种随机、智能、全局优化算法,近年来越来越多的被应用于电磁学领域。提出修正的粒子群算法,并应用其进行电阻抗断层成像研究。对研究的圆形求解域采用有限元法进行剖分,电流注入采用三角电流法,并用修正的粒子群算法对园域内电导率目标进行介质重构。数值仿真结果表明:该方法对求解域内的目标位置定位准确,并能够准确地反映场域内电导率的分布。
The particle swarm optimization（PSO） is a stochastic and global evolutionary optomization algorithm.In recent years,the PSO has been used in the field of electromagnetics.In this paper,the Modified Particle Swarm Optimization（M-PSO）algorithm is given and used to study the imaging of the electrical impedance tomography,where the circle-domain solved is discretized into irregular polygons by the Finite Element Mthod（FEM）,trigonometric current pattern and the M-PSO are adopted to reconstruct the conductivity distribution.The numerical simulation results show that the methods given in this paper can locates the targets accurately and reflects the conductivity distribution.
出处
《咸阳师范学院学报》
2012年第2期17-19,共3页
Journal of Xianyang Normal University
基金
陕西省教育厅科研基金项目(2010JK892)
咸阳师范学院科研基金项目(11XSYK102)
关键词
修正的粒子群算法
电阻抗断层成像
有限元
modified particle swarm optimization
electrical impedance tomography
finite element method
