Computational Intelligence Applied to Inverse Problems in Radiative Transfer

Foreword.- Preface.- Introduction.- Radiative Transfer.- Inverse Problems in Radiative Transfer: An Implicit Formulation.- Computational Intelligence in Optimization Problems.- Simulated Annealing.- Genetic Algorithms.- Artificial Neural Networks.- Ant Colony Optimization.- Artificial Bee Colony Algorithm.- Particle Swarm Optimization.- Generalized Extremal Optimization.- Particle Collision Algorithm.- Differential Evolution.- Luus-Jaakola Algorithm.- Firefly Algorithm.- Application Projects.- Final Considerations.- References.

Antônio José da Silva Neto holds a bachelor's degree in Mechanical and Nuclear Engineering from the Federal University of Rio de Janeiro (1983), a master's degree in Nuclear Engineering from the same university (1989) and a PhD in Mechanical Engineering from North Carolina State University (1993). He worked for the Brazilian National Nuclear Energy Commission (1984-1986) and Promon Engenharia (1986-1997). In 1997 he joined the Polytechnic Institute of Rio de Janeiro State University, where he has been a professor since 2013. He is also the president (term 2014-2017) of the Brazilian Society for Applied and Computational Mathematics (SBMAC), and a former president (term 2009-2013) of the Brazilian Society of Mechanical Sciences and Engineering (ABCM). His research interests are in two main areas: mechanical engineering, with a focus on heat transfer, and applied and computational mathematics, with a focus on numerical methods and inverse problems.
José Carlos Becceneri has a bachelor's degree in Applied Mathematics from the University of São Paulo (1978) and a master's degree and a PhD in Electronic Engineering and Computer Sciences, both from the Technological Institute of Aeronautics (1984). He completed his post-doctoral studies at the University of Sheffield, UK (2000-2001), and from 2011 to 2012 he was Dean of Research and Post-graduate Studies at the National Institute for Space Research (INPE), Brazil. He was also a professor at the post-graduate program in Applied Computing at the Computing and Applied Mathematics Associate Laboratory of the INPE, focusing on projects involving software development and computational intelligence.
Haroldo Fraga de Campos Velho has a bachelor's degree in Chemical Engineering from the Pontifical Catholic University of Rio Grande do Sul (1983), and a master's degree (1988) and a PhD (1992) in Mechanical Engineering, with emphasis in Nuclear Reactor Physics and Computational Fluid Dynamics, respectively,