| Summary: | 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.
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