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Smoothing Approximation to the Square-Order Exact Penalty Functions for Constrained Optimization
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-27
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
A method is proposed to smooth the square-order exact penalty function for inequality constrained optimization.
It is shown that, under some conditions, an approximately optimal solution of the original problem can be obtained by searching an approximately optimal solution of the smoothed penalty problem.
An algorithm based on the smoothed penalty functions is given.
The algorithm is shown to be convergent under mild conditions.
Two numerical examples show that the algorithm seems efficient.
American Psychological Association (APA)
Lian, Shujun& Han, Jinli. 2013. Smoothing Approximation to the Square-Order Exact Penalty Functions for Constrained Optimization. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-481395
Modern Language Association (MLA)
Lian, Shujun& Han, Jinli. Smoothing Approximation to the Square-Order Exact Penalty Functions for Constrained Optimization. Journal of Applied Mathematics No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-481395
American Medical Association (AMA)
Lian, Shujun& Han, Jinli. Smoothing Approximation to the Square-Order Exact Penalty Functions for Constrained Optimization. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-481395
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-481395