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.

Comparison of different optimization techniques in antenna design - Part I

ZICH, RICCARDO;MUSSETTA, MARCO;GRIMACCIA, FRANCESCO;
2012-01-01

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.
2012
2012 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM (APSURSI)
978-1-4673-0462-7
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/694084
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 0
social impact