Title :
Electromagnetic tomography based on finite element method and improved genetic algorithm
Author :
Li, Hua ; Pan, Tingting ; Zhang, Yinxue ; Sun, Jing ; Liu, Zhiqiang
Author_Institution :
Coll. of Inf. Sci. & Eng., NEU, Shenyang, China
Abstract :
Mathematical model of electromagnetic tomography based on Maxwell equations is established. Finite element method is adopted to solve forward problem. In the process of inverse problem, improved genetic algorithm is used to realize image reconstruction and simulated with MATLAB. The simulation results show that it is effective and feasible to adopt finite element method and improved genetic algorithm in electromagnetic tomography.
Keywords :
Maxwell equations; electromagnetic fields; finite element analysis; genetic algorithms; image reconstruction; inverse problems; tomography; Maxwell equation; electromagnetic tomography; finite element method; genetic algorithm; image reconstruction; inverse problem; Coils; Electromagnetic induction; Finite element methods; Genetic algorithms; Image reconstruction; Inverse problems; Magnetic field measurement; Maxwell equations; Mechatronics; Tomography; electromagnetic tomography(EMT); finite element method; genetic algorithm(GA); image reconstruction;
Conference_Titel :
Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3817-4
DOI :
10.1109/ICIMA.2009.5156655
