Many real life problems can be modeled as global optimization problems. There are many examples that come from agriculture, chemistry, biology and other fields. Meta-heuristic methods for global optimization are flexible and easy to implement and they can provide high quality solutions. In this chapter, we give a brief review of the frequently used heuristic methods for global optimization. We also provide examples of real life problems modeled as global optimization problems and solved by meta-heuristic methods, with the aim of analyzing the heuristic approach which is implemented.