  We investigate synchronization in networks of Kuramoto oscillators with
inertia. More specifically, we introduce a rewiring algorithm consisting
basically in a {\em hill climb} scheme in which the edges of the network are
swapped in order to enhance its synchronization capacity. We show that the the
synchrony-optimized networks generated by our algorithm have some interesting
topological and dynamical properties. In particular, they typically exhibit an
anticipation of the synchronization onset and are more robust against certain
types of perturbations. We consider synthetic random networks and also a
network with a topology based in an approximated model of the (high voltage)
power grid of Spain, since networks of Kuramoto oscillators with inertia have
been used recently as simplified models for power grids, for which
synchronization is obviously a crucial issue. Despite the extreme
simplifications adopted in these models, our results, among others recently
obtained in the literature, may provide interesting principles to guide the
future growth and development of real-world grids, specially in the case of a
change of the current paradigm of centralized towards distributed generation
power grids.
