Abstract
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) |
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Pages (from-to) | 628-631 |
Number of pages | 4 |
Journal | IEEE Antennas and Propagation Society, AP-S International Symposium (Digest) |
Volume | 3 |
DOIs | |
State | Published - 2001 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering