This means that a proper initial guess for the optimum shift is simply the integer range shift for which the cross-correlation is maximum.
The optimum design cannot be determined simply by inspection of input sequences or of alignments but only by detailed analysis of the each specific target.
As competition increased, positive selection was largely replaced by purifying selection which simply preserved the optimum structure and function of organisms and resulted in slower evolutionary rates.
In truth, what happened, was that players simply worked out the optimum way to apply talents based on what sort of character they wanted to play.
Such an understanding would, for example, be able to determine whether the learning algorithm truly has settled upon a global optimum solution or whether it has simply found a local minimum.
This illustrates that eqn (A6) does not depend on the assumption of an indefinitely moving optimum and that the corresponding κcrit simply gives the maximal rate at which the population can evolve without decreasing in size.
This is expected, since for a completely smooth landscape (r = 0), there is only a single globally optimum peak which would be reached by all populations eventually, simply more rapidly by the larger ones.
