Abstract: By adding one variable, a new simple exact and smooth penalty function is proposed for general constrained optimization problems. Under weaker constraint qualification assumptions, it is proved that when the penalty parameter is sufficiently large, the local minimizer of this penalty function is the local minimizer of a primal problem. 

Key words: constrained minimization problem, exact penalty function, local solution, nonlinear programming