Real-time topology optimization based on multi-scale convolutional attention mechanism-Reference-Cited by-同舟云学术

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Real-time topology optimization based on multi-scale convolutional attention mechanism

Published:2024-07-09 Issue: Volume: Page:1-20
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Zhang Wei¹²,Su Lijie²³^ORCID,Wang Xianpeng³⁴^ORCID

Affiliation:

1. National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, People's Republic of China

2. Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, People's Republic of China

3. Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry, Shenyang, People's Republic of China

4. Liaoning Key Laboratory of Manufacturing System and Logistics Optimization, Northeastern University, Shenyang, People's Republic of China

Funder

National Natural Science Foundation of China

111 Project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2024.2357153

Reference67 articles.

1. Structural optimization using sensitivity analysis and a level-set method

2. Geometrically-driven generation of mechanical designs through deep convolutional GANs

3. Efficient topology optimization in MATLAB using 88 lines of code

4. IEEE Transactions on Pattern Analysis and Machine Intelligence

5. Banga Saurabh Harsh Gehani Sanket Bhilare Sagar Patel and Levent Kara. 2018. “3D Topology Optimization Using Convolutional Neural Networks.” ArXiv abs/1808.07440.

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