Colour theory is pretty complex stuff so choosing a good palette isn’t easy, let alone evolving one. So, you’re going to have some hits and some misses. This is definitely more for fun seeing what you discover rather than finding the perfect palette. Having said that you could discover some gold!
There are best practices when choosing a palette for data visualisation depending on the context and what is to be shown. For example people tend to respond to certain colours representing high / low, hot / cold or good / bad, there is also colourblindness considerations. evoPalette won’t necessarily adhere to these ideals.
I’d like to see a genetic algorithms approach, though you’d have to define some sort of function to score each outcome, so I can see how that’d be tricky. H/T R-Bloggers