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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/107393

    題名: Comparison of Steady-State Genetic Algorithm and Asynchronous Particle Swarm Optimization on Inverse Scattering of a Partially Immersed Metallic Cylinder
    作者: Sun, Chi Hsien;Huang, Chung-Hsin;Li, Ching-Lieh;Chiu, En-Nung
    關鍵詞: Inverse Scattering;Asynchronous Particle Swarm Optimization;Partially Immersed Conductor
    日期: 2014-05-12
    上傳時間: 2016-08-18 13:39:38 (UTC+8)
    摘要: The inverse problem under consideration is to
    reconstruct the characteristic of scatterer from the scattering E
    field. Steady-state genetic algorithm (SSGA) and asynchronous
    particle swarm optimization (APSO) are stochastic-type
    optimization approach that aims to minimize a cost function
    between measurements and computer-simulated data. Thus, the
    shape of metallic cylinder can be obtained by minimizing the
    objective function. After an integral formulation, a discretization
    using the method of moment (MoM) is applied. Numerical results
    indicate that the asynchronous particle swarm optimization
    (APSO) outperforms steady-state genetic algorithm (SSGA) in
    terms of reconstruction accuracy and convergence speed.
    關聯: 2014 International Symposium on Electromagnetic Compatibility (EMC14) , pp.817-820
    顯示於類別:[電機工程學系暨研究所] 會議論文





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