Paper
29 April 2009 Hybrid chromosome design for genetic optimization of a fragmented patch array antenna
Author Affiliations +
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Teresa H. O'Donnell, Scott Santarelli, Hans Steyskal, and Hugh Southall "Hybrid chromosome design for genetic optimization of a fragmented patch array antenna", Proc. SPIE 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III, 73470R (29 April 2009); https://doi.org/10.1117/12.821202
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Genetic algorithms

Genetics

Computer programming

Finite-difference time-domain method

Antennas

Chemical elements

Algorithm development

Back to Top