Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/34441
Title: An objective penalty function method for nonlinear programming
Authors: Meng, Z
Hu, Q
Dang, C
Yang, X 
Issue Date: 2004
Source: Applied mathematics letters, 2004, v. 17, no. 6, p. 683-689
Abstract: In this paper, we propose a novel objective penalty function for inequality constrained optimization problems. The objective penalty function differs from any existing penalty function and also has two desired features: exactness and smoothness if the constraints and objective function are differentiable. An exact penalty result is proved for the objective penalty function. In addition to these results, based on the objective penalty function, we develop an algorithm for solving the original problem and show its convergence under some mild conditions.
Keywords: Nonlinear programming
Exact penalty function
Objective penalty function
Publisher: Pergamon Press
Journal: Applied mathematics letters 
ISSN: 0893-9659
DOI: 10.1016/S0893-9659(04)90105-X
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