An Improved NSGA-II and its Application for Reconfigurable Pixel Antenna Design
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Date
2014-06
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Advisor
Referee
Mark
Journal Title
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Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
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 < − 10 dB) and a realized gain over 6 dB, is designed by the proposed self-adaptive NSGA-II.
Description
Citation
Radioengineering. 2014, vol. 23, č. 2, s. 733-738. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2014/14_02_0733_0738.pdf
http://www.radioeng.cz/fulltexts/2014/14_02_0733_0738.pdf
Document type
Peer-reviewed
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en