Application of the hybrid particle swarm optimization algorithms for simultaneous estimation of multi-parameters in a transient conduction–radiation problem

Analytical method to study multiple scattering characteristics in participating media

“…Assuming that the media are participating media (i.e., absorption and scattering media), the radiative energy transfer is concerned with space coordinates, direction, and wavelength of light [42][43][44]. Clouds are selected as the media for this research.…”

Performance comparison of particle swarm optimization and genetic algorithm for inverse surface radiation problem

“…For example, Qi et al [7] used the multi-phase PSO (MPPSO) to estimation of the radiative source term, optical thickness, scattering albedo, and phase function in 1-D plane-parallel participating medium, and the performance of the stochastic PSO (SPSO) was investigated by retrieving the source term, the extinction coefficient, the scattering coefficient, and the non-uniform absorption coefficients in 1-D slab [20]. Also, an improved hybrid Simplex-particle swarm optimization algorithm based on K-means clustering (KSM-PSO) was developed to retrieve the multi-parameters of the semi-transparent media simultaneously in a transient conduction-radiation problem [21], while Zhang et al [22] applied quantum PSO (QPSO) algorithm to solve the inverse problems of radiative heat transfer and phase change in laser heating semitransparent medium.…”

Experimental study on the effects of light intensity on energy conversion efficiency of photo-thermo chemical synergetic catalytic water splitting

“…As known, the reaction rate of photocatalytic water splitting was not only highly dependent on the photo catalysts, but also dependent on test conditions, such as reaction temperature and light intensity [29][30][31]. In fact, the effects of reaction temperature on the reaction rate of photocatalytic water splitting still had controversial arguments and cannot reach a consensus.…”