The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Algoritma genetik digunakan untuk membina semula bentuk berbilang silinder konduktor sempurna. Berdasarkan keadaan sempadan dan medan berselerak yang diukur, satu set persamaan kamiran tak linear diterbitkan dan masalah pengimejan dirumus semula menjadi masalah pengoptimuman. Algoritma genetik kemudiannya digunakan untuk mengetahui penyelesaian ekstrem global bagi fungsi objek. Contoh berangka diberikan untuk menunjukkan keupayaan algoritma songsang. Pembinaan semula yang baik diperolehi walaupun serakan berganda antara dua konduktor adalah serius. Di samping itu, kesan hingar Gaussian ke atas keputusan pembinaan semula disiasat.
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Salinan
Chien-Ching CHIU, Ching-Lieh LI, Wei CHAN, "Image Reconstruction of Multiple Conductors" in IEICE TRANSACTIONS on Electronics,
vol. E84-C, no. 7, pp. 961-966, July 2001, doi: .
Abstract: The genetic algorithm is used to reconstruct the shapes of multiple 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 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.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/e84-c_7_961/_p
Salinan
@ARTICLE{e84-c_7_961,
author={Chien-Ching CHIU, Ching-Lieh LI, Wei CHAN, },
journal={IEICE TRANSACTIONS on Electronics},
title={Image Reconstruction of Multiple Conductors},
year={2001},
volume={E84-C},
number={7},
pages={961-966},
abstract={The genetic algorithm is used to reconstruct the shapes of multiple 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 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.},
keywords={},
doi={},
ISSN={},
month={July},}
Salinan
TY - JOUR
TI - Image Reconstruction of Multiple Conductors
T2 - IEICE TRANSACTIONS on Electronics
SP - 961
EP - 966
AU - Chien-Ching CHIU
AU - Ching-Lieh LI
AU - Wei CHAN
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E84-C
IS - 7
JA - IEICE TRANSACTIONS on Electronics
Y1 - July 2001
AB - The genetic algorithm is used to reconstruct the shapes of multiple 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 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.
ER -