Evolutionary strategies for advanced array optimization

Evolutionary algorithms (EAs) have had a widespread diffusion and have demonstrated to be very effective techniques for the design of antenna arrays. However, the main limitations are the high computational burden and low convergence speed which stimulated researchers towards the development of even...

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Bibliographic Details
Published in2011 IEEE International Symposium on Antennas and Propagation (APSURSI) pp. 2441 - 2444
Main Authors Oliveri, G., Rocca, P., Poli, L., Carlin, M., Bekele, E. T., De Matteis, A., Massa, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2011
Subjects
ant colony optimizer
Antenna arrays
array antennas
Arrays
Electromagnetics
evolutionary algorithms
genetic algorithm
Genetic algorithms
hybrid approaches
Optimization
Particle swarm optimization
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Summary:Evolutionary algorithms (EAs) have had a widespread diffusion and have demonstrated to be very effective techniques for the design of antenna arrays. However, the main limitations are the high computational burden and low convergence speed which stimulated researchers towards the development of even more effective approaches or the definition of suitable optimization frameworks. Two innovative EA-based method for the synthesis of large thinned arrays and of compromise sum-difference sub-arrayed antennas are presented and discussed in this work where the flexibility and performance of EAs have been exploited to obtain effective and efficient designs.
ISBN:9781424495627
1424495628
ISSN:1522-3965
1947-1491
DOI:10.1109/APS.2011.5997016