Journal article
A Hybrid Genetic-Algorithm Space-Mapping Tool for the Optimization of Antennas
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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2007 |
| Pages: | 777-781 |
| ISSN: | 15582221 and 0018926x |
| Types: | Journal article |
| DOI: | 10.1109/TAP.2007.891556 |
Antenna arrays Antenna radiation patterns Data preprocessing Design optimization Genetic algorithms Mean square error methods Neural networks Phased arrays Planar arrays Samarium antenna arrays antennas optimization genetic algorithms genetic algorithms (GAs) hybrid genetic-algorithm space-mapping tool optimization methods space mapping (SM)
