Dogrusal Anten Dizisi Isima Diyagraminin Sentezi için Konveks-Genetik-Taguchi Algoritmalarina Dayali Yeni Bir Karma Optimizasyon Yaklasimi

Mahmud Esad Yigit, Tayfun Gunel

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

1 Atıf (Scopus)

Özet

In this paper, a new hybrid optimization approach based on Convex-Genetic-Taguchi Algorithm which is developed for the pattern synthesis of the linear antenna arrays is presented. Convex-Genetic-Taguchi Algorithm uses Convex optimization, Genetic Algorithm and Taguchi Method in order to obtain desired side lobe level and half power beamwidth. The results obtained by Convex-Genetic-Taguchi Algorithm, Convex Optimization, Genetic Algorithm, Taguchi Method and Hybrid Taguchi-Genetic Algorithm are compared. The obtained results show that Convex-Genetic-Taguchi Algorithm improves the results of Convex Optimization. By the new hybrid algorithm optimization goals are reached faster and better than the other methods compared with.

Tercüme edilen katkı başlığıA new hybrid optimization approach based on Convex-Genetic-Taguchi algorithms for the pattern synthesis of linear antenna array
Orijinal dilTürkçe
Ana bilgisayar yayını başlığı2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar572-576
Sayfa sayısı5
ISBN (Elektronik)9786050109238
Yayın durumuYayınlandı - 10 Şub 2017
Etkinlik2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016 - Bursa, Turkey
Süre: 1 Ara 20163 Ara 2016

Yayın serisi

Adı2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016

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???event.eventtypes.event.conference???2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016
Ülke/BölgeTurkey
ŞehirBursa
Periyot1/12/163/12/16

Bibliyografik not

Publisher Copyright:
© 2016 The Chamber of Turkish Electrical Engineers.

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