Planar array optimization by means of SNO and StudGA

Author

Boldini, A. ; Gonano, C.A. ; Grimaccia, F. ; Mussetta, M. ; Niccolai, Alessandro ; Sgambati, R. ; Zich, Riccardo E.

Author_Institution

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

fYear

2014

fDate

6-11 July 2014

Firstpage

1950

Lastpage

1951

Abstract

In recent years there has been an increasing attention to novel evolutionary optimization techniques. A recently developed algorithm called Social Network Optimization (SNO), based on the emulation of decision making process in social network environments, is here considered and compared to 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. Reported results show their effectiveness in dealing with antenna optimization.

Keywords

genetic algorithms; planar antenna arrays; SGA; SNO; StudGA; antenna optimization; benchmark EM optimization problem; decision making process; evolutionary optimization technique; planar array optimization; social network environments; social network optimization; stud genetic algorithm; Algorithm design and analysis; Arrays; Genetic algorithms; Optimization; Planar arrays; Social network services;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE

Conference_Location

Memphis, TN

ISSN

1522-3965

Print_ISBN

978-1-4799-3538-3

Type

conf

DOI

10.1109/APS.2014.6905302

Filename

6905302