.png){kind=icon}
返回
Relaxed gradient projection algorithm for constrained node-based shape optimization
.png){kind=icon}
OA
AI
DOI：10.1007/s00158-020-02821-y.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In node-based shape optimization, there are a vast amount of design parameters, and the objectives, as well as the physical constraints, are non-linear in state and design. Robust optimization algorithms are required. The methods of feasible directions are widely used in practical optimization problems and know to be quite robust. A subclass of these methods is the gradient projection method. It is an active-set method, it can be used with equality and non-equality constraints, and it has gained significant popularity for its intuitive implementation. One significant issue around efficiency is that the algorithm may suffer from zigzagging behavior while it follows non-linear design boundaries. In this work, we propose a modification to Rosen's gradient projection algorithm. It includes the efficient techniques to damp the zigzagging behavior of the original algorithm while following the non-linear design boundaries, thus improving the performance of the method.
Keyword:
Gradient-based constrained optimization
Shape optimization
Vertex Morphing
Rosen’ s gradient projection algorithm
Node-based shape parametrization
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4
论文数:
4.9K
被引数:
1.7W
机构
引用论文
Shape optimization of thin walled structures governed by geometrically nonlinear mechanics受几何非线性力学控制的薄壁结构的形状优化
PREAI
分享收藏A risk score model with five long non-coding RNAs for predicting prognosis in gastric cancer: an integrated analysis combining TCGA and GEO datasets.png)
PeerJ
OAAI
PeerJIF0
OAAI分享收藏
查看更多内容