ADVANCED PRIMAL-DUAL INTERIOR-POINT METHOD FOR THE METHOD OF MOVING ASYMPTOTES

被引：0

作者：

Li, Daozhong ^{[1
]}

Roper, Stephen ^{[1
]}

Kim, Il Yong ^{[1
]}

机构：

[1] Queens Univ, Kingston, ON, Canada

来源：

PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2018, VOL 1A | 2018年

基金：

加拿大自然科学与工程研究理事会;

关键词：

CONVERGENCE;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The Method of Moving Asymptotes (MMA) is one of the well-known optimization algorithms for topology optimization due to its stable numerical performance. Here, this paper simplifies the MMA algorithm by considering the features of topology optimization problem statements and presents a strategy to solve the necessary subproblems based on the primal dual-interior-point method to further enhance numerical performance. A new scaling mechanism is also introduced to improve searching quality by utilizing the sensitivities of the original problems at the beginning of each MMA iteration. Numerical examples of solving both mathematical problems and topology optimization problems demonstrate the success of this method.

引用

页数：8

共 12 条

[1] A family of MMA approximations for structural optimization [J].