Abstract
A multiobjective Genetic Algorithm (GA) has been applied to the design of electrically small thin-wire antennas taking into account the resonance frequency, efficiency and Q factor of the different configurations. The performance of the resulting designs is compared to that of other prefractal antennas of similar size.
Original language | English (US) |
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Pages (from-to) | 4412-4415 |
Number of pages | 4 |
Journal | IEEE Antennas and Propagation Society, AP-S International Symposium (Digest) |
Volume | 4 |
DOIs | |
State | Published - 2004 |
Event | IEEE Antennas and Propagation Society Symposium 2004 Digest held in Conjunction with: USNC/URSI National Radio Science Meeting - Monterey, CA, United States Duration: Jun 20 2004 → Jun 25 2004 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering