TY - GEN
T1 - Application of micro-genetic algorithm for artificial anisotropy ADI-FDTD method
AU - Zhang, Yan
AU - Lü, Shan Wei
AU - Zhang, Jun
PY - 2008
Y1 - 2008
N2 - A new method to reduce the numerical dispersion of the conventional altemating-direction-implicit finite-difference time-domain (ADI-FDTD) method is proposed. Firstly, the numerical formulations are modified with the artificial anisotropy, and the numerical dispersion relation is derived. Secondly, the relative permittivity tensor of the artificial anisotropy can be obtained by the micro-genetic algorithm (MGA), which is a genetic algorithm with a very small population. Then, the capabilities and potentialities of this new method are demonstrated numerically using two non-uniformmesh examples. And the numerical results of the proposed method are compared with those of the FDTD method, the conventional ADI-FDTD method, and the measured data, respectively. Furthermore, the reduction of the numerical dispersion is investigated as the objective function of the MGA. It is found that this new method is accurate and efficient by choosing proper objective function.
AB - A new method to reduce the numerical dispersion of the conventional altemating-direction-implicit finite-difference time-domain (ADI-FDTD) method is proposed. Firstly, the numerical formulations are modified with the artificial anisotropy, and the numerical dispersion relation is derived. Secondly, the relative permittivity tensor of the artificial anisotropy can be obtained by the micro-genetic algorithm (MGA), which is a genetic algorithm with a very small population. Then, the capabilities and potentialities of this new method are demonstrated numerically using two non-uniformmesh examples. And the numerical results of the proposed method are compared with those of the FDTD method, the conventional ADI-FDTD method, and the measured data, respectively. Furthermore, the reduction of the numerical dispersion is investigated as the objective function of the MGA. It is found that this new method is accurate and efficient by choosing proper objective function.
UR - https://www.scopus.com/pages/publications/65949086373
U2 - 10.1109/CJMW.2008.4772366
DO - 10.1109/CJMW.2008.4772366
M3 - 会议稿件
AN - SCOPUS:65949086373
SN - 9787811181630
T3 - Proceedings of 2008 China-Japan Joint Microwave Conference, CJMW 2008
SP - 17
EP - 21
BT - Proceedings of 2008 China-Japan Joint Microwave Conference, CJMW 2008
T2 - 2008 China-Japan Joint Microwave Conference, CJMW 2008
Y2 - 10 September 2008 through 12 September 2008
ER -