The heat transfer mechanism of thermal radiation is directly related to either the emission and propagation
of electromagnetic waves or the transport of photons. Depending on the participation of the medium
in space, thermal radiation can be classified into two forms, which are surface and gas radiation, respectively.
In the present study, unknown surface radiation properties are estimated by an inverse analysis for
a surface radiation in an axisymmetric cylindrical enclosure. For efficiency, the repulsive particle swarm
optimization (RPSO) algorithm, which showed an outstanding effectiveness in the previous inverse gas
radiation problem, is adopted as an inverse solver. By comparing the convergence rates of an objective
function and the estimated accuracies with the results of the hybrid genetic algorithm (HGA) and the particle
swarm optimization (PSO) method, the performance of the RPSO algorithm is verified to be quite an
efficient method as the inverse solver when applied to the retrieval of unknown properties of the surface
radiation problem.