This is a fine example of evolutionary/genetic algorithms, although it does not address anything about why evolutionary/genetic algorithms are practical for finding mathematical functions that we do not know. Systems of finding polynomial representations is already well-known in math without GA, perhaps the author would do better if he included a problem to be solved that used something more than trivial operators -- perhaps a problem in a high number of dimensions, involving complex numbers, trig, etc. Somewhere where Taylor's series (and other variants) break down.

This is what I'm interested in seeing. We know cases where EA can be applied well and where it might be a better way of solving a problem...but the rule is, "when better ways exist", use them.