Inspired by the annealing process in metallurgy, Simulated Annealing is a probabilistic technique used to approximate the global optimum of a given function. By iteratively refining potential solutions, and occasionally accepting less-optimal solutions, this method avoids getting trapped in local optima and explores the solution space more broadly.