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http://dx.doi.org/10.5515/KJKIEES.2014.25.5.592

Study on Pattern Synthesis of Conformal Array Antenna Using Enhanced Adaptive Genetic Algorithm  

Seong, Cheol-Min (Department of Radio Science and Engineering, Chungnam National University)
Lee, Jae-Duk (Department of Radio Science and Engineering, Chungnam National University)
Han, In-Hee (Microwave Technologies Group)
Ryu, Hong-Kyun (Agency for Defense Development)
Lee, Kyu-Song (Agency for Defense Development)
Park, Dong-Chul (Department of Radio Science and Engineering, Chungnam National University)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.25, no.5, 2014 , pp. 592-600 More about this Journal
Abstract
This paper proposes an enhanced adaptive genetic algorithm(EAGA) dedicated to pattern synthesis of array antenna which conforms to a curved surface of rotation with quadratic function. EAGA combines adaptive genetic algorithm(AGA) with invasive weed optimization(IWO) for the faster convergence and the lower cost value of the cost function. The amplitude and phase of each excited weighting factor are optimized to meet the required goals using EAGA. The EAGA results indicate that the proposed algorithm is superior to AGA when applied to the problem of conformal array antenna pattern synthesis.
Keywords
Adaptive Genetic Algorithm; Enhanced Adaptive Genetic Algorithm; Conformal Array Antenna; Pattern Synthesis; Invasive Weed Optimization;
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