SSV Hints: An interactive optimization framework based on the visualization of search space

Interactive optimization is a powerful and versatile approach to solving complex problems and stands out for its ability to involve the user in the search and decision process. This article presents SSV Hints, a generalist interactive optimization framework based on search space visualization. The proposed framework combines interactive actions and computational methods that allow users to explore possible solutions, better understand the search space, and solve the desired problem. Through a case study, we demonstrate the practical application of SSV Hints to the seismic inversion problem, illustrating how it can be used to interactively explore and analyze the search space. Furthermore, we discuss possible applications of the framework in other areas, as well as suggestions for improvements and future expansions.