The Active Set Method is an iterative optimization algorithm used to solve constrained optimization problems by maintaining and updating a set of constraints that are considered 'active' at each iteration. It efficiently handles problems with inequality constraints by iteratively solving a series of equality-constrained subproblems, adjusting the active set until convergence to an optimal solution is achieved.