This book aims at providing a computational framework of radiative heat transfer in participating media. The book mainly helps engineers and researchers develop their own codes for radiative transfer analysis, starting from simple benchmark problems and extending further to industry scale problems. The computations related to radiative heat transfer are very relevant in iron and steel manufacturing industries, rocket exhaust designing, fire resistance testing, and atmospheric and solar applications. The methods to accurately treat the non-gray nature of the participating gases such as H2O, CO2, and CO are discussed along with considering particle radiation. The solver development based on these methods and its application to a variety of industry problems and different kind of geometries is a significant attraction in the book. The last section of the book deals with the use of artificial neural networks and genetic algorithm-based optimization technique for solving practical problems of process parameter optimization in industry. This book is a comprehensive package taking the readers from the basics of radiative heat transfer in participating media to equip them with their own solvers and help to apply to industry problems.