Several methods have be proposed or used to optimize the phase distribution of a kinoform. In this paper, we proposed a fast algorithm for optimization of the kinoform based on simulated annealing to reduce the large computation cost. This method uses a simplified equation to calculate the energy function after perturbation.
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Yen-Wei CHEN, Shinichiro YAMAUCHI, Ning WANG, Zensho NAKAO, "A Fast Kinoform Optimization Algorithm Based on Simulated Annealing" in IEICE TRANSACTIONS on Fundamentals,
vol. E83-A, no. 4, pp. 774-776, April 2000, doi: .
Abstract: Several methods have be proposed or used to optimize the phase distribution of a kinoform. In this paper, we proposed a fast algorithm for optimization of the kinoform based on simulated annealing to reduce the large computation cost. This method uses a simplified equation to calculate the energy function after perturbation.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e83-a_4_774/_p
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@ARTICLE{e83-a_4_774,
author={Yen-Wei CHEN, Shinichiro YAMAUCHI, Ning WANG, Zensho NAKAO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Fast Kinoform Optimization Algorithm Based on Simulated Annealing},
year={2000},
volume={E83-A},
number={4},
pages={774-776},
abstract={Several methods have be proposed or used to optimize the phase distribution of a kinoform. In this paper, we proposed a fast algorithm for optimization of the kinoform based on simulated annealing to reduce the large computation cost. This method uses a simplified equation to calculate the energy function after perturbation.},
keywords={},
doi={},
ISSN={},
month={April},}
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TY - JOUR
TI - A Fast Kinoform Optimization Algorithm Based on Simulated Annealing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 774
EP - 776
AU - Yen-Wei CHEN
AU - Shinichiro YAMAUCHI
AU - Ning WANG
AU - Zensho NAKAO
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E83-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2000
AB - Several methods have be proposed or used to optimize the phase distribution of a kinoform. In this paper, we proposed a fast algorithm for optimization of the kinoform based on simulated annealing to reduce the large computation cost. This method uses a simplified equation to calculate the energy function after perturbation.
ER -