Here are some visualizations of fitness landscapes for recurrent neural networks. I have taken 2-dimensional "slices" out of an otherwise very high-dimensional parameter space. To create a "slice", two links from the RNN are randomly selected and then systematically varied and re-evaluated for fitness. So in order to generate one of these 800-by-800 pixel images, 640,000 fitness evaluations are required.
I had previously done some similar experiments, although I think the results above are a bit nicer, aesthetically.