Ajuan Ren
School of Computing Science and Mathematics, Guilin University of Electronic Technology, Guilin, 541004, Poeples Republic of China
Fujian Duan
School of Computing Science and Mathematics, Guilin University of Electronic Technology, Guilin, 541004, Poeples Republic of China
Zhibin Zhu
School of Computing Science and Mathematics, Guilin University of Electronic Technology, Guilin, 541004, Poeples Republic of China
Zhijun Luo
School of Computing Science and Mathematics, Guilin University of Electronic Technology, Guilin, 541004, Poeples Republic of China
ABSTRACT
In this study, optimization problems with general equality and inequality constraints are discussed. Firstly, the original problems are changed into parametric programming problems with only inequality constraints and these two problems are equivalent with each other if the parameter is suitable. Then, we give a new idea called first-order feasible condition, which is used to solve the changed problems. Under some reasonable conditions, the global and superlinear convergence is shown.
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How to cite this article
Ajuan Ren, Fujian Duan, Zhibin Zhu and Zhijun Luo, 2007. A Feasible SQP Method with Superlinear Convergence for General Constrained Optimization. Journal of Applied Sciences, 7: 1422-1427.
DOI: 10.3923/jas.2007.1422.1427
URL: https://scialert.net/abstract/?doi=jas.2007.1422.1427
DOI: 10.3923/jas.2007.1422.1427
URL: https://scialert.net/abstract/?doi=jas.2007.1422.1427
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