We present a GA/FDTD optimisation technique and its application in the design of single and multi-band artificial magnetic conducting (AMC) surfaces. The technique is a combination of a genetic algorithm (GA) and the finite-difference time-domain (FDTD) method. For the efficiency purpose, a micro-genetic algorithm (MGA) is applied to optimize the geometry of an AMC unit cell, and the fitness functions are evaluated by the FDTD method. The effectiveness of the algorithm is demonstrated by designing two AMC surfaces: a single-band AMC at 5.5 GHz and a dual-band AMC at 5.5 GHz and 12.0 GHz.
|Title of host publication||Proceedings of 2006 IEEE Antennas and Propagation Society International Symposium|
|Place of Publication||USA|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Number of pages||4|
|Publication status||Published - 2006|
|Event||2006 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science and AMEREM Meetings - Albuquerque, United States|
Duration: 9 Jul 2006 → 14 Jul 2006
|Conference||2006 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science and AMEREM Meetings|
|Period||9/07/06 → 14/07/06|
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- conducting bodies
- electromagnetic wave reflection
- finite difference time-domain analysis
- genetic algorithms