Study of Mutation System of Genetic Algorithm for Optimization Design of Diffractive Optical Elements

碩士 === 國立臺北科技大學 === 光電工程系研究所 === 95 === In this thesis, we study the mutation system of the genetic algorithm (GA) for optimization design of the binary phase diffractive optical elements (DOEs). The GA scheme adopted here was the simple genetic algorithm. We discussed the relationship between param...

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Main Authors: Chih-Ming Lin, 林錦明
Other Authors: Wei-Feng Hsu
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/44zu43
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spelling ndltd-TW-095TIT051240472019-06-27T05:10:23Z http://ndltd.ncl.edu.tw/handle/44zu43 Study of Mutation System of Genetic Algorithm for Optimization Design of Diffractive Optical Elements 以基因演算法設計繞射光學元件之突變機制研究 Chih-Ming Lin 林錦明 碩士 國立臺北科技大學 光電工程系研究所 95 In this thesis, we study the mutation system of the genetic algorithm (GA) for optimization design of the binary phase diffractive optical elements (DOEs). The GA scheme adopted here was the simple genetic algorithm. We discussed the relationship between parameters of mutation system and convergent properties by the simulation results of binary DOEs that were designed using GA. We discussed the effects of the number of population, and the size of elements on the performance of optimization design. The number of population determined the population density of solution space. As the number of population increased, the mutation rate to obtain the highest efficiency of optimization design reduced. The size of elements governed the size of solution space. As the size of elements reduced, the final convergence value of the fitness function increased. Among the cases at simulated, the optimal mutation rate to achieve the best performance of the binary DOEs was obtained in 0.03% ~ 0.08%, depended on parameters discussed above. These rates correspond to 0.41 ~ 2.05 pixels per DOE, and give an important reference for the use of GA to design the DOEs. Wei-Feng Hsu 徐巍峰 2007 學位論文 ; thesis 94 zh-TW
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language zh-TW
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description 碩士 === 國立臺北科技大學 === 光電工程系研究所 === 95 === In this thesis, we study the mutation system of the genetic algorithm (GA) for optimization design of the binary phase diffractive optical elements (DOEs). The GA scheme adopted here was the simple genetic algorithm. We discussed the relationship between parameters of mutation system and convergent properties by the simulation results of binary DOEs that were designed using GA. We discussed the effects of the number of population, and the size of elements on the performance of optimization design. The number of population determined the population density of solution space. As the number of population increased, the mutation rate to obtain the highest efficiency of optimization design reduced. The size of elements governed the size of solution space. As the size of elements reduced, the final convergence value of the fitness function increased. Among the cases at simulated, the optimal mutation rate to achieve the best performance of the binary DOEs was obtained in 0.03% ~ 0.08%, depended on parameters discussed above. These rates correspond to 0.41 ~ 2.05 pixels per DOE, and give an important reference for the use of GA to design the DOEs.
author2 Wei-Feng Hsu
author_facet Wei-Feng Hsu
Chih-Ming Lin
林錦明
author Chih-Ming Lin
林錦明
spellingShingle Chih-Ming Lin
林錦明
Study of Mutation System of Genetic Algorithm for Optimization Design of Diffractive Optical Elements
author_sort Chih-Ming Lin
title Study of Mutation System of Genetic Algorithm for Optimization Design of Diffractive Optical Elements
title_short Study of Mutation System of Genetic Algorithm for Optimization Design of Diffractive Optical Elements
title_full Study of Mutation System of Genetic Algorithm for Optimization Design of Diffractive Optical Elements
title_fullStr Study of Mutation System of Genetic Algorithm for Optimization Design of Diffractive Optical Elements
title_full_unstemmed Study of Mutation System of Genetic Algorithm for Optimization Design of Diffractive Optical Elements
title_sort study of mutation system of genetic algorithm for optimization design of diffractive optical elements
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/44zu43
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