  The model of interaction between learning and evolutionary optimization is
designed and investigated. The evolving population of modeled organisms is
considered. The mechanism of the genetic assimilation of the acquired features
during a number of generations of Darwinian evolution is studied. It is shown
that the genetic assimilation takes place as follows: phenotypes of modeled
organisms move towards the optimum at learning; then the selection takes place;
genotypes of selected organisms also move towards the optimum. The hiding
effect is also studied; this effect means that strong learning can inhibit the
evolutionary search for the optimal genotype. The mechanism of influence of the
learning load on the interaction between learning and evolution is analyzed. It
is shown that the learning load can lead to a significant acceleration of
evolution.
