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Proceedings Paper

Issues involved in developing a genetic algorithm methodology for optimizing the position of ship-board antennas
Author(s): Teresa H. O'Donnell; Randy Haupt; Keith Lysiak; Daniel J. Jacavanco
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Paper 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.

Paper Details

Date Published: 29 April 2009
PDF: 14 pages
Proc. SPIE 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III, 73470U (29 April 2009); doi: 10.1117/12.821203
Show Author Affiliations
Teresa H. O'Donnell, ARCON Corp. (United States)
Randy Haupt, The Pennsylvania State Univ. (United States)
Keith Lysiak, Southwest Research Institute (United States)
Daniel J. Jacavanco, ARCON Corp. (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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