Comparison of Steady-State Genetic Algorithm and Asynchronous Particle Swarm Optimization on Inverse Scattering of a Partially Immersed Metallic Cylinder
學年 102
學期 2
發表日期 2014-05-12
作品名稱 Comparison of Steady-State Genetic Algorithm and Asynchronous Particle Swarm Optimization on Inverse Scattering of a Partially Immersed Metallic Cylinder
作品名稱（其他語言）
著者 Chi Hsien Sun; Chung-Hsin Huang; Ching-Lieh Li; En-Nung Chiu
作品所屬單位
出版者
會議名稱 2014 International Symposium on Electromagnetic Compatibility (EMC14)
會議地點 Tokyo, Japan
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.
關鍵字 Inverse Scattering;Asynchronous Particle Swarm Optimization;Partially Immersed Conductor
語言 en
收錄於
會議性質 國內
校內研討會地點 無
研討會時間 20140512~20140516
通訊作者
國別 JPN
公開徵稿
出版型式
出處 2014 International Symposium on Electromagnetic Compatibility (EMC14) , pp.817-820
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/107393 )