Penalty functions and filter methods are two commonly-used algorithms for solving nonlinear constrained problems. In practice they suffer from a number of disadvantages that slow their convergence. Flexible penalty functions are an attempt to utilize the best characteristics of both and have been demonstrated to exhibit good global convergence properties.