A Hybrid Genetic-Algorithm Space-Mapping Tool for the Optimization of Antennas

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 p...

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Veröffentlicht in:IEEE transactions on antennas and propagation 2007-03, Vol.55 (3), p.777-781
Hauptverfasser: Pantoja, M.F., Meincke, P., Bretones, A.R.
Format: Artikel
Sprache:eng
Schlagworte:
Antenna arrays
Antenna radiation patterns
Antennas
Applied sciences
Computation
Computer simulation
Data preprocessing
Design optimization
Exact sciences and technology
Genetic algorithms
genetic algorithms (GAs)
Mapping
Mathematical models
Mean square error methods
Neural networks
Optimization
optimization methods
Phased arrays
Planar arrays
Radiocommunications
Samarium
space mapping (SM)
Telecommunications
Telecommunications and information theory
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Beschreibung
Zusammenfassung: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
ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2007.891556