CAJ | 학술논문

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。
입자군산법시일충수궤、지능、전국우화산법,근년래월래월다적피응용우전자학영역。제출수정적입자군산법,병응용기진행전조항단층성상연구。대연구적원형구해역채용유한원법진행부분,전류주입채용삼각전류법,병용수정적입자군산법대완역내전도솔목표진행개질중구。수치방진결과표명：해방법대구해역내적목표위치정위준학,병능구준학지반영장역내전도솔적분포。
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.