Investigation of Simulated annealing, ant-colony optimization, and genetic algorithms for self-structuring antennas

Author

Coleman, Christopher Mark ; Rothwell, Edward J. ; Ross, John E.

Author_Institution

Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA

Volume

52

Issue

4

fYear

2004

fDate

4/1/2004 12:00:00 AM

Firstpage

1007

Lastpage

1014

Abstract

A self-structuring antenna (SSA) is capable of arranging itself into a large number of configurations. Because the properties of the configurations are generally unknown at the onset of operation, efficient search algorithms are required to find suitable configurations for a given set of environmental and operational conditions. This paper investigates the use of ant-colony optimization, simulated annealing, and genetic algorithms for finding suitable antenna states. The implementation of each algorithm for SSA searches is described, and the performance of each algorithm is compared to a random search.

Keywords

genetic algorithms; simulated annealing; ant-colony optimization; efficient search algorithms; genetic algorithms; reconfigurable antennas; self-structuring antennas; simulated annealing; Antennas and propagation; Computational modeling; Genetic algorithms; Microcontrollers; Receiving antennas; Shape; Simulated annealing; Switches; Testing; Wires;

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/TAP.2004.825658

Filename

1291764