中国激光, 1998, 25 (3): 265, 网络出版: 2006-10-18
实现ICF均匀照明的二元光学器件的混合优化设计
Design Binary Optics Elements for ICF Uniform Illumination with Hybrid Optimization Method
模拟退火 遗传算法 混合算法 ICF均匀照明 均匀性 simulated annealing algorithm (SA) genetic algorithm(GA) hybrid algorithm ICF uniform illumination uniformity
摘要
结合模拟退火和遗传算法各自的特点,提出了一种混合算法,用以设计阵列型惯性约束核聚变(ICF)均匀照明系统中二元阵列单元的位相分布。混合算法充分利用了遗传算法的并行性及保留一定历史信息的特性,并用模拟退火的温度参数控制收敛性。模拟运算表明,混合算法具有较高的效率及寻优可靠性。用本算法设计的均匀照明阵列,可以得到顶部均匀性为3.2%(rms)、能量利用率接近90%的焦斑。
Abstract
In this paper, a novel hybrid algorithm which combines SA (simulated annealing) algorithm with GA (genetic algorithm) is used to design binary optics elements for ICF (inertial confinement fusion) uniform illumination. GA, which is a parallel algorithm, reserves historical information for SA, while SA′s parameter, temperature, is used to control GA′s convergence. Simulation calculation shows that the hybrid algorithm is effective and robust. A focal spot with a uniformity 3.2%(rms) and an efficiency approximating to 90% is obtained by this method.
郑学哲, 王凌, 严瑛白, 金国藩. 实现ICF均匀照明的二元光学器件的混合优化设计[J]. 中国激光, 1998, 25(3): 265. 郑学哲, 王凌, 严瑛白, 金国藩. Design Binary Optics Elements for ICF Uniform Illumination with Hybrid Optimization Method[J]. Chinese Journal of Lasers, 1998, 25(3): 265.