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- W2188389722 abstract "Based on the elitist non-dominated sorting ge- netic algorithm (NSGA-II) for multi-objective optimization problems, an improved scheme with self-adaptive cross- over 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 direc- tions (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." @default.
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- W2188389722 date "2014-06-01" @default.
- W2188389722 modified "2023-10-11" @default.
- W2188389722 title "An Improved NSGA-II and its Application for Reconfigurable Pixel Antenna Design" @default.
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