Fractal antenna engineering concepts have been successfully combined with genetic algorithms to develop a powerful design optimization tool. The genetic optimization approach developed can simultaneously optimize the geometry of a fractal antenna, locations of loads, component values of loads, and projected length of the fractal antenna. The results suggest that a 30-55% size reduction can be achieved by optimizing the fractalization and loading of a given antenna. The knowledge gained as a result of this study is directly applicable to the design of miniature fractal antennas.
|Original language||English (US)|
|Number of pages||4|
|Journal||IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)|
|State||Published - Jan 1 2001|
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering