Pattern Synthesis of Linear Antenna Array via a New Hybrid Taguchi - Genetic - Particle Swarm Optimization Algorithm

Mahmud Esad Yigit, Tayfun Günel

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

15 Atıf (Scopus)

Özet

In this paper, a new hybrid optimization approach for the pattern synthesis of linear antenna array is proposed. Hybrid approach (TAGAPSO) contains Taguchi Algorithm(TA), Genetic Algorithm(GA) and Particle Swarm Optimization (PSO). The aim of the optimization is to obtain desired side lobe level and half power beam width of the linear antenna array. Optimization results obtained by TA, GA, PSO and TAGAPSO are compared. The results show that TAGAPSO is much better than TA, GA and PSO. Optimization goals satisfied via TAGAPSO are much better than the other methods. Results of TAGAPSO are also compared with the results obtained by High Frequency Structural Simulator (HFSS) in order to verify the results.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2018 18th Mediterranean Microwave Symposium, MMS 2018
YayınlayanIEEE Computer Society
Sayfalar17-21
Sayfa sayısı5
ISBN (Elektronik)9781538671320
DOI'lar
Yayın durumuYayınlandı - 14 Oca 2019
Etkinlik18th Mediterranean Microwave Symposium, MMS 2018 - Istanbul, Turkey
Süre: 31 Eki 20182 Kas 2018

Yayın serisi

AdıMediterranean Microwave Symposium
Hacim2018-October
ISSN (Basılı)2157-9822
ISSN (Elektronik)2157-9830

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???event.eventtypes.event.conference???18th Mediterranean Microwave Symposium, MMS 2018
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot31/10/182/11/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

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