A globally convergent method of moving asymptotes with trust region technique

被引：18

作者：

Ni, Q ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Nanjing 210016, Peoples R China

[2] Univ Bayreuth, D-95440 Bayreuth, Germany

来源：

OPTIMIZATION METHODS & SOFTWARE | 2003年 / 18卷 / 03期

基金：

中国国家自然科学基金;

关键词：

method of moving asymptotes; trust region method; structural optimization;

D O I：

10.1080/1055678031000118491

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The method of moving asymptotes is known to work well for certain problems arising in structural optimization. A globally convergent method of moving asymptotes with trust region technique is proposed in this paper. A convex separable subproblem is solved in each iteration. The choice of asymptotes is controlled by the trust region radius such that global convergence of the algorithm is obtained. In addition, preliminary numerical tests are given.

引用

页码：283 / 297

页数：15

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