SimulateMovingOptimum

C++ code used for "adaptive-walk" simulations of the multidimensional moving-optimum model. In these simulations, the population is assumed to be monomorphic at all times, and new mutations are immediately lost or fixed. As a result, adaptation proceeds as a series of discrete "steps". Adaptive-walk simulations are much faster than individual-based simulations, and are more closely related to the analytical results in the paper. Similar assumptions have been used in other models of the genetics of adaptation (Gillespie, Orr...), and have been justified by the so-called strong-selection-weak-mutation assumption.