Function sets in genetic programming
Terence Soule, Robert B. Heckendorn · 2001
This research examined how the function set influences performance in genetic programming. We find that performance can vary widely with different appropriate function sets. In general, functions that are likely to produce solutions with very low fitness degrade the results and are heavily selected against even when the function could produce very simple solutions.