In this paper, a simple feasible SQP method for nonlinear inequality constrained optimization is presented. At each iteration, we need to solve one QP subproblem only. After solving a system of linear equations, a new feasible descent direction is designed. The Maratos effect is avoided by using a h
A modified SQP method with nonmonotone technique and its global convergence
โ Scribed by Ke Su; Zhensheng Yu
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 460 KB
- Volume
- 57
- Category
- Article
- ISSN
- 0898-1221
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โฆ Synopsis
In this paper, we propose a modified SQP method, which uses neither a penalty function nor a filter, for the nonlinear programming problems. The proposed mechanism for accepting the trial step is carried out by a nonmonotone technique. Under some conditions, we establish the global convergence of the algorithm. Some numerical results are presented to show the effectiveness of the proposed algorithm.
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