Conference paper
Optimization of Antennas using a Hybrid Genetic-Algorithm Space-Mapping Algorithm
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 |
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Year: | 2006 |
Pages: | 1-4 |
Proceedings: | 1st European Conference on Antennas and Propagation |
ISBN: | 9290929375 and 9789290929376 |
Types: | Conference paper |
DOI: | 10.1109/EUCAP.2006.4584902 |
Algorithm design and analysis Ant colony optimization Antenna arrays Computational modeling Design optimization Genetic algorithms Grid computing Iterative algorithms Optimization methods Samarium antenna arrays antenna design antenna optimization antennas genetic algorithm genetic algorithms hybrid genetic-algorithm hybrid global-local optimization technique space mapping space-mapping algorithm