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

Mahmud Esad Yigit; Tayfun Gunel

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

Mahmud Esad Yigit
, Tayfun Gunel

Elektronik ve Hab.Müh.Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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 başlığı	A new hybrid optimization approach based on Convex-Genetic-Taguchi algorithms for the pattern synthesis of linear antenna array
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	572-576
Sayfa sayısı	5
ISBN (Elektronik)	9786050109238
Yayın durumu	Yayınlandı - 10 Şub 2017
Etkinlik	2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016 - Bursa, Turkey Süre: 1 Ara 2016 → 3 Ara 2016

Yayın serisi

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016
Ülke/Bölge	Turkey
Şehir	Bursa
Periyot	1/12/16 → 3/12/16

Bibliyografik not

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

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Yigit, M. E., & Gunel, T. (2017). Dogrusal Anten Dizisi Isima Diyagraminin Sentezi için Konveks-Genetik-Taguchi Algoritmalarina Dayali Yeni Bir Karma Optimizasyon Yaklasimi. In 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016 (pp. 572-576). Makale 7851853 (2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016). Institute of Electrical and Electronics Engineers Inc..

Yigit, Mahmud Esad ; Gunel, Tayfun. / Dogrusal Anten Dizisi Isima Diyagraminin Sentezi için Konveks-Genetik-Taguchi Algoritmalarina Dayali Yeni Bir Karma Optimizasyon Yaklasimi. 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 572-576 (2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016).

@inproceedings{11eba80dee894693a6506a70d0921510,

title = "Dogrusal Anten Dizisi Isima Diyagraminin Sentezi i{\c c}in Konveks-Genetik-Taguchi Algoritmalarina Dayali Yeni Bir Karma Optimizasyon Yaklasimi",

abstract = "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.",

author = "Yigit, \{Mahmud Esad\} and Tayfun Gunel",

note = "Publisher Copyright: {\textcopyright} 2016 The Chamber of Turkish Electrical Engineers.; 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016 ; Conference date: 01-12-2016 Through 03-12-2016",

year = "2017",

month = feb,

day = "10",

language = "T{\"u}rk{\c c}e",

series = "2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "572--576",

booktitle = "2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016",

address = "United States",

}

Yigit, ME & Gunel, T 2017, Dogrusal Anten Dizisi Isima Diyagraminin Sentezi için Konveks-Genetik-Taguchi Algoritmalarina Dayali Yeni Bir Karma Optimizasyon Yaklasimi. in 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016., 7851853, 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016, Institute of Electrical and Electronics Engineers Inc., pp. 572-576, 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016, Bursa, Turkey, 1/12/16.

Dogrusal Anten Dizisi Isima Diyagraminin Sentezi için Konveks-Genetik-Taguchi Algoritmalarina Dayali Yeni Bir Karma Optimizasyon Yaklasimi. / Yigit, Mahmud Esad; Gunel, Tayfun.
2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 572-576 7851853 (2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Dogrusal Anten Dizisi Isima Diyagraminin Sentezi için Konveks-Genetik-Taguchi Algoritmalarina Dayali Yeni Bir Karma Optimizasyon Yaklasimi

AU - Yigit, Mahmud Esad

AU - Gunel, Tayfun

PY - 2017/2/10

Y1 - 2017/2/10

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85015422151

M3 - Konferans katkısı

AN - SCOPUS:85015422151

T3 - 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016

SP - 572

EP - 576

BT - 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016

Y2 - 1 December 2016 through 3 December 2016

ER -

Yigit ME, Gunel T. Dogrusal Anten Dizisi Isima Diyagraminin Sentezi için Konveks-Genetik-Taguchi Algoritmalarina Dayali Yeni Bir Karma Optimizasyon Yaklasimi. In 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 572-576. 7851853. (2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016).

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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap