Simultaneous retrieval of multiparameters in a frequency domain radiative transfer problem using an improved pdf-based aco algorithm

Inspired by the particle swarm optimization algorithm, an improved ant colony optimization algorithm based on probability density function (IPDF-ACO) was developed for solving the inverse problem of frequency domain radiative transfer in a one-dimensional participating medium. The plural hemispherical reflectance and transmittance simulated by the finite-volume method served as input of the inverse analysis. The extinction coefficient, scattering albedo, and asymmetry parameter were retrieved simultaneously by using the amplitude and phase information as measured values. Through five test cases, the IPDF-ACO proved to be more accurate and efficient than the basic PDF-ACO even with noisy data.