A Second Order Smoothing Penalty Function Algorithm for Constrained Optimization Problems

Abstract

The current paper introduces a second order smoothing technique for classical exact penalty function in constrained optimization problems. Error calculations for optimum solution values for non-smoothed, smoothed penalty problem and for the original problem have been discussed in the paper. An algorithmic procedure for obtaining the solution is demonstrated and convergence is discussed.