Meta-material surface design using the hierarchical genetic algorithm
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 226-230 |
| Journal / Publication | Microwave and Optical Technology Letters |
| Volume | 39 |
| Issue number | 3 |
| Publication status | Published - 5 Nov 2003 |
Link(s)
Abstract
In this paper, we design a meta-material surface emulating a perfect magnetic conducting plane (PMC) using the hierarchical genetic algorithm (HGA). This is achieved by manipulating the unit-cell geometry of frequency-selective surface screens and the electrical properties of the supporting dielectric medium in the optimization process. The properties of the structure are evaluated using a method of moments (MoM)-based electromagnetic solver. By virtue of the HGA, prior information of the number of FSS screens and dielectric layers is not required. The designed PMC is employed as a dipole-antenna reflector for gain enhancement.
Research Area(s)
- Electromagnetic simulation, Genetic algorithm, Meta material
Citation Format(s)
Meta-material surface design using the hierarchical genetic algorithm. / Yuan, Yuan; Chan, Chi Hou; Man, Kim Fung; Luk, Kwai Man.
In: Microwave and Optical Technology Letters, Vol. 39, No. 3, 05.11.2003, p. 226-230.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
