Open Journal of Optimization

Volume 8, Issue 4 (December 2019)

ISSN Print: 2325-7105   ISSN Online: 2325-7091

Google-based Impact Factor: 0.56  Citations  

A Smoothing Penalty Function Method for the Constrained Optimization Problem

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DOI: 10.4236/ojop.2019.84010    927 Downloads   2,855 Views  Citations
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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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Liu, B. (2019) A Smoothing Penalty Function Method for the Constrained Optimization Problem. Open Journal of Optimization, 8, 113-126. doi: 10.4236/ojop.2019.84010.

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