Using the Genetic Algorithm to Reconstruct the Two-Dimensional Conductor

碩士 === 淡江大學 === 電機工程學系 === 87 === The genetic algorithm is used to reconstruct the shapes of multiple perfectly conducting cylinders in free space and the single perfectly conducting cylinder in half space. Bases on the boundary condition and the measured scattered field, a set of nonl...

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Main Authors: Wei Chan, 錢威
Other Authors: Chien-Ching Chiu
Format: Others
Language:zh-TW
Published: 1999
Online Access:http://ndltd.ncl.edu.tw/handle/05124797390792008317
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spelling ndltd-TW-087TKU004420172016-02-01T04:13:06Z http://ndltd.ncl.edu.tw/handle/05124797390792008317 Using the Genetic Algorithm to Reconstruct the Two-Dimensional Conductor 利用基因法則重建二維導體之影像 Wei Chan 錢威 碩士 淡江大學 電機工程學系 87 The genetic algorithm is used to reconstruct the shapes of multiple perfectly conducting cylinders in free space and the single perfectly conducting cylinder in half space. Bases 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 out the global extreme solution of the object 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. Chien-Ching Chiu 丘建青 1999 學位論文 ; thesis 97 zh-TW
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language zh-TW
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description 碩士 === 淡江大學 === 電機工程學系 === 87 === The genetic algorithm is used to reconstruct the shapes of multiple perfectly conducting cylinders in free space and the single perfectly conducting cylinder in half space. Bases 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 out the global extreme solution of the object 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.
author2 Chien-Ching Chiu
author_facet Chien-Ching Chiu
Wei Chan
錢威
author Wei Chan
錢威
spellingShingle Wei Chan
錢威
Using the Genetic Algorithm to Reconstruct the Two-Dimensional Conductor
author_sort Wei Chan
title Using the Genetic Algorithm to Reconstruct the Two-Dimensional Conductor
title_short Using the Genetic Algorithm to Reconstruct the Two-Dimensional Conductor
title_full Using the Genetic Algorithm to Reconstruct the Two-Dimensional Conductor
title_fullStr Using the Genetic Algorithm to Reconstruct the Two-Dimensional Conductor
title_full_unstemmed Using the Genetic Algorithm to Reconstruct the Two-Dimensional Conductor
title_sort using the genetic algorithm to reconstruct the two-dimensional conductor
publishDate 1999
url http://ndltd.ncl.edu.tw/handle/05124797390792008317
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