MESA models evolutionary searches that employ monotonic smooth fitness gradients. It presupposes a fitness landscape that converges gradually to a single optimum (peak or valley) and asks how quickly evolution can locate the optimum when fitness is randomly perturbed and/or when variables are coupled.

MESA Overview

MESA Summary