Abstract
Augmented Lagrangian methods are effective tools for solving general constrained optimization problems. One of its drawbacks, however, is the excessive increase in the penalty parameter, which can generate numerical instabilities, especially in non-convex problems. One of the strategies that aim to reduce this problem employs exact penalty functions. However, the usual exact penalty funct…