Article citationsMore>>

Lian, S.J. (2012) Smoothing Approximation to L1 Exact Penalty Function for Inequality Constrained Optimization. Applied Mathematics and Computation, 219, 3113-3121.
https://doi.org/10.1016/j.amc.2012.09.042

has been cited by the following article:

• TITLE: A Smoothing Penalty Function Method for the Constrained Optimization Problem

  AUTHORS: Bingzhuang Liu

  KEYWORDS: Constrained Optimization, Penalty Function, Smoothing Method, Optimal Solution

  JOURNAL NAME: Open Journal of Optimization, Vol.8 No.4, December 4, 2019

  ABSTRACT: In this paper, an approximate smoothing approach to the non-differentiable exact penalty function is proposed for the constrained optimization problem. A simple smoothed penalty algorithm is given, and its convergence is discussed. A practical algorithm to compute approximate optimal solution is given as well as computational experiments to demonstrate its efficiency.