This is a quick, cheap an automated method to estimate the best moment to stop optimization iterations, providing a good cost-benefit stopping point for your search (i.e., an effective balance between saving fitness evaluations and maintaining the optimization quality).
The convergence analysis is performed through a sequence of linear regressions using exponential and log-like curves, based on the analysis of the convergence behavior presented during every optimization run.
