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

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）。

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.