Using a genetic algorithm to determine an optimal position for an antenna mounted on a platform

Authors:
Jamie M. Knapil Infantolino;M. Jeffrey Barney;Randy L. Haupt
Affiliations:
Remcom, Inc, State College, PA;Remcom, Inc, State College, PA;The Applied Research Lab, State College, PA
Venue:
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Year:
2009

Citing 0
Cited 1

Estimating soil thermal properties from sequences of land surface temperature using hybrid Genetic Algorithm-Finite Difference method

Engineering Applications of Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

Determining an optimal position of an antenna on a platform is not always intuitive. This paper examines the implementation of a Genetic Algorithm (GA) within XFdtd, a Finite Difference Time Domain (FDTD) solver, for its effectiveness in determining an optimal antenna position when compared to a brute force method. XFdtd uses the FDTD method [1] to solve general electromagnetic problems. Built into XFdtd is the concept of Feature Based Modeling (FBM), which uses relative coordinate systems to position antennas in a geometry in relation to other parts. The GA, written in C++, is available to XFdtd's Scripting API. Through scripting a user specifies the antenna to move and provides bounded regions where the antenna can be located for maximum efficiency.