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Proceedings Paper

Hybrid chromosome design for genetic optimization of a fragmented patch array antenna
Author(s): Teresa H. O'Donnell; Scott Santarelli; Hans Steyskal; Hugh Southall
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Paper Abstract

Chromosome design has been shown to be a crucial element in developing genetic algorithms which approach global solutions without premature convergence. The consecutive positioning of parameters with high-correlations and relevance enhances the creation of genetic building blocks which are likely to persist across recombination to provide genetic inheritance. Incorporating positional gene relevance is challenging, however, in multi-dimensional design problems. We present a hybrid chromosome designed for optimizing a fragmented patch antenna which combines linear and two-dimensional gene representations. We compare previous results obtained with a linear chromosome to solutions obtained with this new hybrid representation.

Paper Details

Date Published: 29 April 2009
PDF: 9 pages
Proc. SPIE 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III, 73470R (29 April 2009); doi: 10.1117/12.821202
Show Author Affiliations
Teresa H. O'Donnell, Air Force Research Lab. (United States)
ARCON Corp. onsite Consultant (United States)
Scott Santarelli, Air Force Research Lab. (United States)
Hans Steyskal, Air Force Research Lab. (United States)
S4 Inc. onsite Consultant (United States)
Hugh Southall, Air Force Research Lab. (United States)
Visitronix Inc. onsite Consultant (United States)

Published in SPIE Proceedings Vol. 7347:
Evolutionary and Bio-Inspired Computation: Theory and Applications III
Teresa H. O'Donnell; Misty Blowers; Kevin L. Priddy, Editor(s)

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