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 different
β¦ LIBER β¦
A penalty-function-free line search SQP method for nonlinear programming
β Scribed by Wenjuan Xue; Chungen Shen; Dingguo Pu
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 705 KB
- Volume
- 228
- Category
- Article
- ISSN
- 0377-0427
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
An objective penalty function method for
β
Zhiqing Meng; Qiying Hu; Chuangyin Dang; Xiaoqi Yang
π
Article
π
2004
π
Elsevier Science
π
English
β 370 KB
On penalty function methods for nonlinea
β
M.R Osborne; D.M Ryan
π
Article
π
1970
π
Elsevier Science
π
English
β 804 KB
A hybrid variable penalty method for non
β
B. Prasad
π
Article
π
1982
π
Elsevier Science
π
English
β 835 KB
The paper describes a hybrid variable penalty method (in which the penalty functions are finite on the boundary of the constrained set) for solving a general nonlinear programming problem. The method combines two types of variable penalty functions to obtain a hybrid formulation in such a way that t
An SQP approach with line search for a s
β
Pu-yan Nie
π
Article
π
2006
π
Elsevier Science
π
English
β 190 KB
A Direct Search Method for Nonlinear Pro
β
J.M. MartΓnez
π
Article
π
1999
π
John Wiley and Sons
π
English
β 204 KB
π 1 views
A continuously differentiable exact pena
β
G. Contaldi; G. Di Pillo; S. Lucidi
π
Article
π
1993
π
Elsevier Science
π
English
β 461 KB