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A Smoothing Penalty Function Method for the Constrained Optimization Problem

DOI: 10.4236/ojop.2019.84010, PP. 113-126

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

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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.

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