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Proceedings Paper

Genetic programming techniques for thin-wire antennas
Author(s): Terry H. O'Donnell
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Paper Abstract

Simple genetic algorithm optimizations often utilize fixed-length chromosomes containing a predefined set of parameters to be optimized. While such algorithms have successfully created electrically small narrow-band and large wide-band military antennas, they require the antenna designer to have a fairly concrete antenna representation prior to exercising the genetic algorithm. In this research we investigate the use of genetic programming (GP) techniques to "program" the design of simple thin-wire antennas. Genetic programming techniques offer the potential to create random, multi-arm, multi-dimension antennas from variable length, tree-like chromosomes. We present a new genetic programming paradigm for creating multi-branched, thin-wire, genetic antennas and describe how GP commands are represented and decoded into physical antenna structures. We present preliminary results obtained from this algorithm showing evolutions along Pareto fronts representing antenna electrical size, VSWR, and antenna quality factor (Q).

Paper Details

Date Published: 2 May 2007
PDF: 12 pages
Proc. SPIE 6563, Evolutionary and Bio-inspired Computation: Theory and Applications, 65630F (2 May 2007); doi: 10.1117/12.723690
Show Author Affiliations
Terry H. O'Donnell, Air Force Research Lab. (United States)
ARCON Corp. (United States)

Published in SPIE Proceedings Vol. 6563:
Evolutionary and Bio-inspired Computation: Theory and Applications
Misty Blowers; Alex F. Sisti, Editor(s)

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