會議論文
| 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 ) |