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.