A parallel implementation of seeker optimization algorithm for designing circular and concentric circular antenna arrays

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Tarih

2014

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Elsevier Science Bv

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

In this paper, a parallel version of seeker optimization algorithm (SOA) is proposed for designing circular and concentric circular antenna arrays with the low sidelobe levels at a fixed beamwidth. The SOA is a relatively new evolutionary optimization algorithm based on the concept of simulating the act of humans' intelligent search with their memory, experience, and uncertainty reasoning. In this work, The SOA has been parallelized by benefiting from its dividable population form. The numerical results show that the design of circular and concentric circular antenna arrays using the parallel SOA provides good sidelobe levels with a fixed beamwidth. The quality of results obtained by the parallel SOA is checked by comparing with those of several evolutionary algorithms in the literature. (C) 2014 Elsevier B.V. All rights reserved.

Açıklama

Anahtar Kelimeler

Antenna array synthesis, Circular antenna arrays, Concentric circular antenna arrays, Evolutionary algorithms, Parallel computing, Message passing interface

Kaynak

Applied Soft Computing

WoS Q Değeri

Q1

Scopus Q Değeri

Q1

Cilt

22

Sayı

Künye