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.
Comparison of different optimization techniques in antenna design - Part II
ZICH, RICCARDO;MUSSETTA, MARCO;GRIMACCIA, FRANCESCO;
2012-01-01
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.File in questo prodotto:
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