I've tried to play build the idea cubicle67 mentioned to use relative mutations instead of absolute ones. What I've implemented is a function that does not limi

I've tried to play build the idea cubicle67 mentioned to use relative mutations instead of absolute ones. What I've implemented is a function that does not limit the change at all, but simple makes it more likely to be small and less likely to be large. The new value becomes either (MAX - current) * P or current * P (50% chance on each), where P is the product of two random variables between [-1, 1]. I'm not sure how that is distributed (been a while since that statistics course), but it obviously favors numbers closer to 0. This optimization looks rather efficient, as the same image seems to get about 67% more beneficient mutations in the same interval of generations. Another change I would like to implement (but haven't yet) is a low chance of changing multiple values at once, which may eventually escape from a "dead end". The best improvement of all would be to allow users to airbrush "priority" onto different regions, which then get weighted in the fitness score. If I'm generating a portrait, I care a lot more about the eyes than the background, for example.