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.
| Translated title of the contribution | A new hybrid optimization approach based on Convex-Genetic-Taguchi algorithms for the pattern synthesis of linear antenna array |
|---|---|
| Original language | Turkish |
| Title of host publication | 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 572-576 |
| Number of pages | 5 |
| ISBN (Electronic) | 9786050109238 |
| Publication status | Published - 10 Feb 2017 |
| Event | 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016 - Bursa, Turkey Duration: 1 Dec 2016 → 3 Dec 2016 |
Publication series
| Name | 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016 |
|---|
Conference
| Conference | 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016 |
|---|---|
| Country/Territory | Turkey |
| City | Bursa |
| Period | 1/12/16 → 3/12/16 |
Bibliographical note
Publisher Copyright:© 2016 The Chamber of Turkish Electrical Engineers.