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作者:

Sui, Yun-Kang (Sui, Yun-Kang.) | Zhang, Ai-Qing (Zhang, Ai-Qing.) | Long, Lian-Chun (Long, Lian-Chun.) (学者:龙连春)

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摘要:

The basic idea of the sequential quadratic programming (SQP) algorithm is to approximate and initial model with a sequence of quadratic programming (QP) sub-problems. To choose rational move limits box (super-polyhedron) for QP sub-problems, a new SQP algorithm, SQPRML is presented. Hence, the problem of search direction is solved in a more rational method, and it facilitates to obtain search step size. Numerical examples are presented which show that the algorithm is feasible and efficient.

关键词:

Constrained optimization Quadratic programming

作者机构:

  • [ 1 ] [Sui, Yun-Kang]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Zhang, Ai-Qing]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Long, Lian-Chun]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China

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来源 :

Journal of Beijing University of Technology

ISSN: 0254-0037

年份: 2008

期: 11

卷: 34

页码: 1121-1126

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