The more successful methods for unconstrained global optimization of an arbitrary multimodal objective function are of a stochastic nature and involve a combination of sampling and local search techniques. In this class, the recently developed Multi Level Single Linkage method combines attractive theoretical properties with excellent computational properties. We describe this method below, and discuss its computational behaviour and its extension to constrained global optimization.