Global Optimization was brefly presented:

Problem formulation

Some classes of problems

combinatorial problems
constrained global optimization
essentially unconstrained (box constrained) GO

GO history

Complexity of problems

size of region of attraction
embedded or isolated global minimizers
number of local minimizers

Elements of global optimization methods

strategies in choosing points
stopping conditions and solvability
convergence with probability one
comparing methods

Global optimization methods

classes of methods
description of methods