From what I can see. A genetic algorithm generates a lot of guesses. This makes it kind of slow. So I wonder. What is the effectiveness of the guesses.
Could the random number generator be improved. So that you get quality input to choose from. Not just choose the best choice from low quality input.
The way I see it is that random numbers are just samples that can be taken from a ?2D image. Then the problem is just to generate a good image. I think the image should look diverse.
From this I wonder. Does there exist a deep genetic algorithm with internal fitness or score values from each layer.
With this I think you get smart random.