Constrained and unconstrained heuristic global optimization algorithms are discussed. Their advantages and disadvantages as compared to local optimization approaches are discussed. Global optimization techniques such Genetic Algorithms and Simulated Annealing are discussed in detail. Other methods including multi-start search, Ant Colonies, Tabu Search as well as other recently published methods are also presented.
