| Autor: |
Y. L. Li, W. Shao, J. T. Wang, H. Chen |
| Jazyk: |
angličtina |
| Rok vydání: |
2014 |
| Předmět: |
|
| Zdroj: |
Radioengineering, Vol 23, Iss 2, Pp 733-738 (2014) |
| Druh dokumentu: |
article |
| ISSN: |
1210-2512 |
| Popis: |
Based on the elitist non-dominated sorting genetic algorithm (NSGA-II) for multi-objective optimization problems, an improved scheme with self-adaptive crossover and mutation operators is proposed to obtain good optimization performance in this paper. The performance of the improved NSGA-II is demonstrated with a set of test functions and metrics taken from the standard literature on multi-objective optimization. Combined with the HFSS solver, one pixel antenna with reconfigurable radiation patterns, which can steer its beam into six different directions (θDOA = ± 15°, ± 30°, ± 50°) with a 5 % overlapping impedance bandwidth (S11 less than 10 dB) and a realized gain over 6 dB, is designed by the proposed self-adaptive NSGA-II. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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