Smoothing methods for convex inequalities and linear complementarity problems
Mathematical Programming: Series A and B
Duality and exact penalization for vector optimization via augmented Lagrangian
Journal of Optimization Theory and Applications
A Nonlinear Lagrangian Approach to Constrained Optimization Problems
SIAM Journal on Optimization
Decreasing Functions with Applications to Penalization
SIAM Journal on Optimization
On the Smoothing of the Square-Root Exact Penalty Function for Inequality Constrained Optimization
Computational Optimization and Applications
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The paper introduces a smoothing technique for a lower order penalty function for constrained optimization problems (COP). It is proved that the optimal solution to the smoothed penalty optimization problem is a @e2-approximate optimal solution to the original optimization problem under some mild assumptions. Based on the smoothed penalty function, an algorithm for solving COP is proposed and some numerical examples are given.