Comparison of different optimization techniques in antenna design - Part I

Author

Zich, R.E. ; Mussetta, M. ; Grimaccia, F. ; Albi, R. ; Carbonara, A. ; D´Antuono, P. ; Guffanti, T. ; Zucchelli, E.

Author_Institution

Dipt. di Energia, Politec. di Milano, Milan, Italy

fYear

2012

fDate

8-14 July 2012

Firstpage

1

Lastpage

2

Abstract

In recent years there has been an increasing attention to some novel evolutionary techniques, such as for example Ant Colony Optimization (ACO), Biogeography Based Optimization (BBO), Differential Evolution (DE), Population-Based Incremental Learning (PBIL) and Stud Genetic Algorithm (SGA). The design of a planar array is here addressed in order to compare their performances on a benchmark EM optimization problem. Results show that some techniques (DE, BBO, SGA) are particularly effective in dealing with antenna optimization.

Keywords

ant colony optimisation; genetic algorithms; planar antenna arrays; ACO; BBO; DE; EM optimization problem; PBIL; SGA; ant colony optimization; antenna design; antenna optimization; biogeography based optimization; differential evolution; evolutionary technique; planar array design; population-based incremental learning; stud genetic algorithm; Ant colony optimization; Antennas; Genetic algorithms; Optimization; Sociology; Statistics; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE

Conference_Location

Chicago, IL

ISSN

1522-3965

Print_ISBN

978-1-4673-0461-0

Type

conf

DOI

10.1109/APS.2012.6348757

Filename

6348757