關鍵字查詢 | 類別:會議論文 | | 關鍵字:Electromagnetic imaging by the genetic algorithm

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序號 學年期 教師動態
1 88/1 電機系 李慶烈 教授 會議論文 發佈 Electromagnetic imaging by the genetic algorithm , [88-1] :Electromagnetic imaging by the genetic algorithm會議論文Electromagnetic imaging by the genetic algorithmChan, Wei; Li, Ching-lieh; Chiu, Chien-ching淡江大學電機工程學系New York: New York: Institute of Electrical and Electronics Engineers (IEEE)Microwave and Optoelectronics Conference, 1999. SBMO/IEEE MTT-S, APS and LEOS - IMOC '99. International vol. 1, pp.45-48The genetic algorithm is used to reconstruct the shapes of two perfectly conducting cylinders. Based on the boundary condition and the measured scattered field, a set of nonlinear integral equations is derived and the imaging problem is reformulated into an optimization problem. The genetic algorithm is then employed to find the global extreme solution of the cost function. Numerical examples are given to demonstrate the capability of the inverse algorithm. Good reconstruction is obtained even when the multiple scattering between two conductors is serious. In addition, the effect of Gaussian noise on the reconstruction results is investigated
2 88/1 電機系 丘建青 教授 會議論文 發佈 Electromagnetic imaging by the genetic algorithm , [88-1] :Electromagnetic imaging by the genetic algorithm會議論文Electromagnetic imaging by the genetic algorithmChan, Wei; Li, Ching-lieh; Chiu, Chien-ching淡江大學電機工程學系New York: New York: Institute of Electrical and Electronics Engineers (IEEE)Microwave and Optoelectronics Conference, 1999. SBMO/IEEE MTT-S, APS and LEOS - IMOC '99. International vol. 1, pp.45-48The genetic algorithm is used to reconstruct the shapes of two perfectly conducting cylinders. Based on the boundary condition and the measured scattered field, a set of nonlinear integral equations is derived and the imaging problem is reformulated into an optimization problem. The genetic algorithm is then employed to find the global extreme solution of the cost function. Numerical examples are given to demonstrate the capability of the inverse algorithm. Good reconstruction is obtained even when the multiple scattering between two conductors is serious. In addition, the effect of Gaussian noise on the reconstruction results is investigated
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