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Explicit model of dual programming and solving method for a class of separable convex programming problems

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成果类型:
期刊论文
作者:
Sui, YunKang;Peng, XiRong*
通讯作者:
Peng, XiRong
作者机构:
[Sui, YunKang] Beijing Univ Technol, Numer Simulat Ctr Engn, Beijing, Peoples R China.
[Peng, XiRong] Hunan City Univ, Sch Civil Engn, Yiyang, Peoples R China.
通讯机构:
[Peng, XiRong] H
Hunan City Univ, Sch Civil Engn, Yiyang, Peoples R China.
语种:
英文
关键词:
dual sequential quadratic programming (DSQP) method;Explicit dual objective function;method of moving asymptotes (MMA);separable convex programming;structural topology optimization
期刊:
Engineering Optimization
ISSN:
0305-215X
年:
2019
卷:
51
期:
9
页码:
1604-1625
基金类别:
This work is supported by the National Natural Science Foundation of China [grant no. 11672103] and the Natural Science Foundation in Hunan Province of China [grant no. 2016JJ6016].
机构署名:
本校为通讯机构
院系归属:
土木工程学院
摘要:
An objective function for a dual model of nonlinear programming problems is an implicit function with respect to Lagrangian multipliers. This study aims to address separable convex programming problems. An explicit expression with respect to Lagrangian multipliers is derived for the dual objective function. The exact solution of the dual model can be achieved because an explicit objective function is more exact than an approximated objective function. Then, a set of improved Lagrangian multipliers can be used to obtain the optimal solution of t...

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