Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation 2012
DOI: 10.1109/aps.2012.6348756
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Comparison of different optimization techniques in antenna design - Part II

Abstract: In this paper an elliptical reflectarray antenna is optimized by some novel evolutionary techniques: Ant Colony Optimization (ACO), Biogeography Based Optimization (BBO), Differential Evolution (DE), Population-Based Incremental Learning (PBIL) and Stud Genetic Algorithm (SGA). The optimized design of the reflectarray is aimed to compare their performances on a complex EM optimization problem. Results show that some techniques (DE, BBO, SGA) are particularly effective in dealing with antenna optimization

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Cited by 2 publications
(1 citation statement)
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“…The mentioned challenges can be resolved with the optimization in the performance of UWB antennas to improve the results according to the specific requirement of the systems [5]. Many optimization methods have been implemented in the different shapes of UWB antennas, such as Particle Swarm Optimization (PSO), *Corresponding Author Institutional Email: acontreras@fing.luz.edu.ve (A.…”
Section: Introductionmentioning
confidence: 99%
“…The mentioned challenges can be resolved with the optimization in the performance of UWB antennas to improve the results according to the specific requirement of the systems [5]. Many optimization methods have been implemented in the different shapes of UWB antennas, such as Particle Swarm Optimization (PSO), *Corresponding Author Institutional Email: acontreras@fing.luz.edu.ve (A.…”
Section: Introductionmentioning
confidence: 99%