In both monte carlo statistical analysis and genetic programming randomization is used to color in a paint-by-numbers design — the design is that which designed by designers — the random events do not create any information at all.
Genetic programming is like an example covered in a few chapters of Dawkin’s book, where he writes a BASIC program to draw stick figures, in a random progression. In that it HE THE DESIGNER who adds information — first by providing the platform on which the software runs, and second by coding the program, third by executing it, fourth by observing the output in each stage, fifth by selecting which output he likes, sixth by feeding back that selection into the system, and seventh by reiterating again and again.
Seven steps like seven days. Very parallel!
How does monte carlo statistical analysis and genetic programming perform using randomness versus not using randomness?