  The topology optimization of artificial neural networks can be particularly
difficult if the fitness evaluations require expensive experiments or
simulations. For that reason, the optimization methods may need to be supported
by surrogate models. We propose different distances for a suitable surrogate
model, and compare them in a simple numerical test scenario.
