mass throughput rises if the rpm increases however knowledge must be employed not guesses because knowledge promotes acceleration while guesses or incorrect statements are counterproductive and slow down or hinder the optimization some of the intervention options into the mutation for speeding up convergence are shown in fig1 in fig1 the lines showing the altitude of a quality curve system are plotted above a two dimensional parameter plane p 1 and p 2 the ellipses are locations of equal probability of an offspring in the event of a mutation if the standard deviations from standard distribution are the same in both main axis directions then the same probabilities are represented by a circle case a if the standard deviation for p 1 is greater than for p 2 then the circle changes into an ellipse case b by means of this unequal scaling successes in optimization in the event of major variation of a parameter can be taken into account the scaling can then be determined by recombination or by deterministic process knowledge if successes are most probable in one particular axis direction then the expectation value for the mutation can be shifted accordingly the expectation value is the origin of the distribution density function of the random number the expectation value shift is expressed as a shift in the entire ellipse in.