一维介质辐射物性反演的随机微粒群方法(英文)

Estimation of Radiative Properties in One-dimensional Media Using Stochastic Particle Swarm Optimization

针对介质辐射反问题进行研究。采用离散坐标法求解了一维吸收散射性灰介质的辐射传输方程,发展了一种反演介质内辐射参数的随机微粒群方法。结果表明该方法可以收敛于全局最优解,且计算快速、智能。

The inverse radiative problem is investigated. The directional radiative intensities of one-dimensional absorbing, emitting, and optimization algorithm （ scattering gray media are simulated by discrete ordinate method. A stochastic particle swarm SPSO） with a stochastic selection is developed to estimate the radiative parameters. The result shows that the proposed algorithm can guarantee the convergence of the global optimization solution and is proved to be fast and robust.