So the issue with genetic algorithms / genetic programming is you need a good way to handle the path the population takes. It is more reinforcement than y = f(x) for deep learning f() is what the nn is computing. X and y is the training data.

Finding a good scoring algorithm is hard as it is so easy for a GA to cheat...

Source: experience