Simulated Annealing is a stochastic global optimization technique that has attracted significant attension as suitable for optimization problems of large scale, especially ones where a desired global extremum is hidden among many, poorer, local extrema. We will review the development of the algorithm and talk about its applications. Especially a project that I have done at Bank of America during last summer.