Evolution with Sampled Fitness Functions

In this chapter we study the effect of different parameters and algorithmic strategies on the problem of working with sampled fitness functions in evolutionary processes. Some results are presented on the effect of the size of the short-term memory and the number of generations of evolution in between updates. From these results it can be observed that there are some critical points that may be considered in order to define the limits to which one can simplify the computations when working with sampled fitness functions while maintaining the same representative power.