  We apply energy landscape methods to digital alchemy, defining a system in
which the parameters of the potential are treated as degrees of freedom. Using
geometrical optimisation, we locate minima and transition states on the
landscape for small clusters. We show that it is easy to find the parameters
that give the lowest energy minimum, and that the distribution of minima on the
alchemical landscape is concentrated in particular areas. We also conclude that
the alchemical landscape is more frustrated, in terms of competition between
low energy structures separated by high barriers. Transition states on the
alchemical landscape are classified by whether they become minima or transition
states when the potential parameters are fixed. Those that become minima have a
significant alchemical component, while those that remain as transition states
can be characterised mainly in terms of atomic displacements.
