  This paper describes a methodology for analyzing the evolutionary dynamics of
genetic programming (GP) using genealogical information, diversity measures and
information about the fitness variation from parent to offspring. We introduce
a new subtree tracing approach for identifying the origins of genes in the
structure of individuals, and we show that only a small fraction of ancestor
individuals are responsible for the evolvement of the best solutions in the
population.
