基于量子微粒群优化算法的半透明介质光学参数反演

针对半透明介质光学参数估计问题，建立了脉冲激光辐照下半透明介质光学参数反演模型，采用量子微粒群优化(QPSO)算法反演了折射率和吸收系数，分析了测量误差、热物性参数对反演结果的影响，并利用敏感性分析揭示了反演精度与测量误差的关系.计算结果表明：建立的反演模型和采用的QPSO算法可以精确估计折射率和吸收系数，即使人为添加10%的测量误差，反演结果依然具有较强的鲁棒性和准确度.本研究可为半透明介质物性参数获取提供技术参考.

Inversion of Optical Parameters of Semitransparent Media Based on Quantum Particle Swarm Optimization Algorithm

Aiming at the problem of optical parameter estimation for semitransparent media， an inversion model for optical parameters of semitransparent media exposed to pulse laser irradiation is established. The quantum particle swarm optimization (QPSO) algorithm is adopted to estimate the refractive index and absorption coefficient. The effects of measurement error and thermophysical parameters on the inversion results are analyzed. The relationship between the inversion accuracy and measurement error is revealed by sensitivity analysis. The calculation results show that the established inversion model and the QPSO algorithm can accurately estimate the refractive index and absorption coefficient. Even with measurement error of 10%， the retrieval results still have strong robustness and high accuracy. This study can provide technical reference for obtaining the physical parameters of semitransparent media.