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A new SQP-filter method for solving nonlinear programming problems
Duoquan Li
2006-09-01
发表期刊JOURNAL OF COMPUTATIONAL MATHEMATICS
ISSN0254-9409
卷号24期号:5页码:609-634
摘要In [4], Fletcher and Leyffer present a new method that solves nonlinear programming problems without a penalty function by SQP-Filter algorithm. It has attracted much attention due to its good numerical results. In this paper we propose a new SQP-Filter method which can overcome Maratos effect more effectively. We give stricter acceptant criteria when the iterative points are far from the optimal points and looser ones vice-versa. About this new method, the proof of global convergence is also presented under standard assumptions. Numerical results show that our method is efficient.
关键词nonlinear programming sequential quadratic programming filter restoration phase Maratos affects global convergence multi-objective optimization quadratic programming subproblem
语种英语
WOS研究方向Mathematics
WOS类目Mathematics, Applied ; Mathematics
WOS记录号WOS:000240667300004
出版者VSP BV
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/3756
专题中国科学院数学与系统科学研究院
通讯作者Duoquan Li
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, ICMSEC, LSEC, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing 100080, Peoples R China
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Duoquan Li. A new SQP-filter method for solving nonlinear programming problems[J]. JOURNAL OF COMPUTATIONAL MATHEMATICS,2006,24(5):609-634.
APA Duoquan Li.(2006).A new SQP-filter method for solving nonlinear programming problems.JOURNAL OF COMPUTATIONAL MATHEMATICS,24(5),609-634.
MLA Duoquan Li."A new SQP-filter method for solving nonlinear programming problems".JOURNAL OF COMPUTATIONAL MATHEMATICS 24.5(2006):609-634.
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