| 粒子群算法在薄膜表面BRDF模型优化中的应用 |
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| 引用本文： | 王党社,张建科,吴振森,李武军.粒子群算法在薄膜表面BRDF模型优化中的应用[J].西北大学学报,2009,7(1):22-28. |
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| 作者姓名： | 王党社 张建科 吴振森 李武军 |
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| 作者单位： | [1]西安工业大学数理系,陕西西安710032 [2]西安邮电学院应用数理系,陕西西安710121 [3]西安电子科技大学理学院,陕西西安710071 |
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| 基金项目： | 国家自然科学基金资助项目（60371020）;陕西省薄膜技术与光学检测重点实验室资助项目（ZSKJ200702） |
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| 摘 要： | 为得到光学薄膜表面双向反射分布函数的统计模型，测量了不同薄膜材料表面的激光（0．808μm）双向反射分布函数。采用多参数优化的惯性权重模型粒子群算法，权重因子随迭代代数增加线形减小，建立了材料表面的BRDF五参数模型。并与遗传算法进行比较，表明粒子群算法在计算效率和计算精度上都比遗传算法好。
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| 关 键 词： | 双向反射分布函数 粒子群算法 拟合 |
Application of particle swarm algorithms on the parameters optimization of BRDF model to film |
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| WANG Dang-she,ZHANG Jian-ke,WU Zhen-sen,LI Wu-jun.Application of particle swarm algorithms on the parameters optimization of BRDF model to film[J].Journal of Northwest University(Natural Science Edition),2009,7(1):22-28. |
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| Authors: | WANG Dang-she ZHANG Jian-ke WU Zhen-sen LI Wu-jun |
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| Institution: | 1. Department of Mathematics and Physies,Xi＇an Technological University, Xi＇an 710032, China; 2.Department of Mathematics and Physics, Xi＇an University of Post and Telecommunications, Xi＇an 710121, China; 3. School of Science, Xidian University, Xi＇an 710071, China) |
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| Abstract: | To obtain the BRDF model of optical film, the LBRDF（0.808μm） of film are measured. Based on measured data of LBRDF, the poly-parameter particle swarm optimization inertia weighted are utilized to create statiscal BRDF model of the above mentioned material. The inertia weight factor along with the iterative time increasing reduces linearly. Compared to genetic algorithm, the particle swarm optimization shows better in computing efficiency and precision. |
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| Keywords: | BRDF particle swarm optimization fitting |
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