A Smoothing Objective Penalty Function Algorithm for Inequality Constrained Optimization Problems
Zhiqing Meng, Chuangyin Dang, Min Jiang, Rui Shen · Numerical Functional Analysis and Optimization · 2011
In this article, a smoothing objective penalty function for inequality constrained optimization problems is presented. The article proves that this type of the smoothing objective penalty functions has good properties in helping to solve inequality constrained optimization problems. Moreover, based on the penalty function, an algorithm is presented to solve the inequality constrained optimization problems, with its convergence under some conditions proved. Two numerical experiments show that a satisfactory approximate optimal solution can be obtained by the proposed algorithm.