GENETIC ALGORITHM IN REDUCTION OF NUMERICAL DISPERSION OF 3-D ADI-FDTD METHOD  

作　　者：Zhang Yan Lü Shanwei Gao Wenjun 

机构地区：[1]School of Electronics and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China [2]Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China

出　　处：《Journal of Electronics(China)》2007年第3期380-383,共4页电子科学学刊（英文版）

基　　金：the National Natural Science Foundation of China (No. 60271012);Research Foundation of ZTE Corporation.

摘　　要：A new method to reduce the numerical dispersion of the three-dimensional Alternating Di-rection Implicit Finite-Difference Time-Domain (3-D ADI-FDTD) method is proposed. Firstly,the numerical formulations of the 3-D ADI-FDTD method are modified with the artificial anisotropy,and the new numerical dispersion relation is derived. Secondly,the relative permittivity tensor of the artificial anisotropy can be obtained by the Adaptive Genetic Algorithm (AGA). In order to demon-strate the accuracy and efficiency of this new method,a monopole antenna is simulated as an exam-ple. And the numerical results and the computational requirements of the proposed method are com-pared with those of the conventional ADI-FDTD method and the measured data. In addition the re-duction of the numerical dispersion is investigated as the objective function of the AGA. It is found that this new method is accurate and efficient by choosing proper objective function.A new method to reduce the numerical dispersion of the three-dimensional Alternating Direction Implicit Finite-Difference Time-Domain （3-D ADI-FDTD） method is proposed. Firstly, the numerical formulations of the 3-D ADI-FDTD method are modified with the artificial anisotropy, and the new numerical dispersion relation is derived. Secondly, the relative permittivity tensor of the artificial anisotropy can be obtained by the Adaptive Genetic Algorithm （AGA）. In order to demonstrate the accuracy and efficiency of this new method, a monopole antenna is simulated as an example. And the numerical results and the computational requirements of the proposed method are compared with those of the conventional ADI-FDTD method and the measured data. In addition the reduction of the numerical dispersion is investigated as the objective function of the AGA. It is found that this new method is accurate and efficient by choosing proper objective function.

关 键 词：Finite-Difference Time-Domain （FDTD） Alternating-Direction Implicit （ADI） Numerical dispersion Artificial anisotropy Genetic Algorithm （GA） 

分 类 号：O441.4[理学—电磁学]