Journal
NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION
Volume 32, Issue 7, Pages 806-820Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/01630563.2011.577262
Keywords
Algorithm; Constrained optimization problems; Exact penalty function; Objective parameter; Objective penalty function; Smoothing
Categories
Funding
- National Natural Science Foundation of China [10971193]
- Natural Science Foundation of Zhejiang Province [Y6090063]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available