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.
fDate :
3/1/2007 12:00:00 AM
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);
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2007.891556
