Title :
Optimization of antennas using a hybrid Genetic-Algorithm space-mapping algorithm
Author :
Pantoja, M.F. ; Bretones, A.R. ; Meincke, P. ; García, S.G. ; Martín, R.G.
Author_Institution :
Dept. de Electromagnetismo, Granada Univ., Granada
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 (SiM) 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 :
antennas; genetic algorithms; antenna design; antenna optimization; genetic algorithm; hybrid genetic-algorithm; hybrid global-local optimization technique; space mapping; space-mapping algorithm; Algorithm design and analysis; Ant colony optimization; Antenna arrays; Computational modeling; Design optimization; Genetic algorithms; Grid computing; Iterative algorithms; Optimization methods; Samarium; Optimization methods; antenna arrays; genetic algorithms; space mapping;
Conference_Titel :
Antennas and Propagation, 2006. EuCAP 2006. First European Conference on
Conference_Location :
Nice
Print_ISBN :
978-92-9092-937-6
DOI :
10.1109/EUCAP.2006.4584902