In this paper the effect of the introduction of some hypotheses in the optimization of a thinned array will be analysed. The results are analysed using three different evolutionary optimization algorithms: the Stud-Genetic Algorithm, a very effective implementation of Genetic Algorithm, the binary Particle Swarm Optimization and the binary Social Network Optimization.

Effect of introduction of hypotheses in Antenna Optimization: Thinned Array test case

Grimaccia, F;Mussetta, M;Niccolai, A;Zich, RE
2018

Abstract

In this paper the effect of the introduction of some hypotheses in the optimization of a thinned array will be analysed. The results are analysed using three different evolutionary optimization algorithms: the Stud-Genetic Algorithm, a very effective implementation of Genetic Algorithm, the binary Particle Swarm Optimization and the binary Social Network Optimization.
2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1082956
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