My favorite was using GP to evolve a soccer team that outcompeted the handcrafted competion and won the Robo Cup championship in 1997.[1]
I still wonder why GP never got to be as popular as NN's (aka the currently fashionable "deep learning").
Was it just that GP's didn't perform as well? I find that somewhat hard to believe, as Koza's books are chock full of impressive results, and there are hundreds more papers on them.
GP's also have the virtue of ultimately being analyzable and understandable, at least in some cases (I'm not confident enough to say in all cases). That is a feature that NN's seem to lack, and it's becoming a big problem for some critical systems where life, important decisions, and/or ethics are involved.
[1] - http://www.genetic-programming.com/hc/lukesoccer.html