Translator Disclaimer
Paper
29 April 2009 Issues involved in developing a genetic algorithm methodology for optimizing the position of ship-board antennas
Author Affiliations +
Abstract
While genetic algorithms are powerful optimization tools, they typically require many function space evaluations. This makes their utilization limited when the time per evaluation is significant. We discuss one such application, the optimization of antenna positioning on ship-board platforms. We present the issues involved and propose intelligent preprocessing and genetic algorithm modifications which reduce both function evaluation time and the extent and complexity of the function space. While these strategies were developed for this particular application, most would be suitable for other complex military optimization problems.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Teresa H. O'Donnell, Randy Haupt, Keith Lysiak, and Daniel J. Jacavanco "Issues involved in developing a genetic algorithm methodology for optimizing the position of ship-board antennas", Proc. SPIE 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III, 73470U (29 April 2009); https://doi.org/10.1117/12.821203
PROCEEDINGS
14 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Genetic programming techniques for thin-wire antennas
Proceedings of SPIE (May 02 2007)
A genetic algorithm for replica server placement
Proceedings of SPIE (January 13 2012)
New evolutionary algorithm for EBG materials optimization
Proceedings of SPIE (February 16 2004)
Ameliorated GA approach for base station planning
Proceedings of SPIE (September 30 2011)
Distributed caching strategy
Proceedings of SPIE (April 15 2008)

Back to Top