Global geometry optimization is a method that allows to predict the
structure of clusters, molecules and solids by finding the global minimum
of the potential energy surface. It is numerically very expensive since
it is necessary to search over a large number of local minima to find
the global minimum. We will improve and generalize methods for global
structure optimization, study the influence of various description
schemes on the potential energy surface and apply global optimization
methods to basic physical problems.