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...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
1999
|
Online Access: | http://ndltd.ncl.edu.tw/handle/05124797390792008317 |
id |
ndltd-TW-087TKU00442017 |
---|---|
record_format |
oai_dc |
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 |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
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 |
work_keys_str_mv |
AT weichan usingthegeneticalgorithmtoreconstructthetwodimensionalconductor AT qiánwēi usingthegeneticalgorithmtoreconstructthetwodimensionalconductor AT weichan lìyòngjīyīnfǎzézhòngjiànèrwéidǎotǐzhīyǐngxiàng AT qiánwēi lìyòngjīyīnfǎzézhòngjiànèrwéidǎotǐzhīyǐngxiàng |
_version_ |
1718175863568072704 |