Issues involved in developing a genetic algorithm methodology for optimizing the position of ship-board antennas

Teresa H. O'Donnell; Randy Haupt; Keith Lysiak; Daniel J. Jacavanco

doi:10.1117/12.821203

29 April 2009 Issues involved in developing a genetic algorithm methodology for optimizing the position of ship-board antennas

Teresa H. O'Donnell, Randy Haupt, Keith Lysiak, Daniel J. Jacavanco

Author Affiliations +

Proceedings Volume 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III; 73470U (2009) https://doi.org/10.1117/12.821203
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available