DocumentCode
1201314
Title
A Hybrid Genetic-Algorithm Space-Mapping Tool for the Optimization of Antennas
Author
Pantoja, M.F. ; Meincke, P. ; Bretones, A.R.
Author_Institution
Departamento de Electromagnetismo, Granada Univ.
Volume
55
Issue
3
fYear
2007
fDate
3/1/2007 12:00:00 AM
Firstpage
777
Lastpage
781
Abstract
A hybrid global-local optimization technique for the design of antennas is presented. It consists of the subsequent application of a genetic algorithm (GA) that employs coarse models in the simulations and a space mapping (SM) that refines the solution found in the previous stage. The technique is particularly suited to optimization problems for which long computational times are required to achieve accurate solutions
Keywords
antenna arrays; genetic algorithms; antennas optimization; hybrid genetic-algorithm space-mapping tool; Antenna arrays; Antenna radiation patterns; Data preprocessing; Design optimization; Genetic algorithms; Mean square error methods; Neural networks; Phased arrays; Planar arrays; Samarium; Antenna arrays; genetic algorithms (GAs); optimization methods; space mapping (SM);
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/TAP.2007.891556
Filename
4120289
Link To Document