A research agenda for iterative approaches to inverse problems using evolutionary computation

We address the relevance of evolutionary computation for iterative approaches to inverse problems. We focus on a set of six real-world problems selected from the areas of space dynamics, materials science, geophysics, heat transfer, oceanography and meteorology. These problems are far from being trivial and their associated direct models yield a wide structural diversity, thus providing a rich sample of the space of inverse problems. We neither discuss any particular problem in depth, nor present any results obtained so far. Our emphasis is on the research agenda defined by them, for the issue of deriving a generic methodology for approaching inverse problems that has evolutionary computation in its core.