教師資料查詢 | 類別: 會議論文 | 教師: 李慶烈 Li Ching-lieh (瀏覽個人網頁)

標題: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
語言英文
收錄於
會議性質國內
校內研討會地點
研討會時間20140512~20140516
通訊作者
國別日本
公開徵稿
出版型式
出處2014 International Symposium on Electromagnetic Compatibility (EMC14) , pp.817-820
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