DOI: 10.3389/fbuil.2020.00059. Reinforcement Learning and Graph Embedding for Binary Truss Topology Optimization Under Stress and Displacement Constraints

Reinforcement Learning and Graph Embedding for Binary Truss Topology Optimization Under Stress and Displacement Constraints

10.3389/fbuil.2020.00059

Crossref journal-article

Frontiers Media SA

Frontiers in Built Environment (1965)

Bibliography

Hayashi, K., & Ohsaki, M. (2020). Reinforcement Learning and Graph Embedding for Binary Truss Topology Optimization Under Stress and Displacement Constraints. Frontiers in Built Environment, 6.

Authors 2

Kazuki Hayashi (first)
Makoto Ohsaki (additional)

References 41 Referenced 48

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10.1007/s00158-008-0237-4 / Struct. Multidiscip. Optim / Topology optimization of trusses by growing ground structure method by Hagishita (2009)
10.1016/0020-7683(94)00306-H / Int. J. Solids Struct / Genetic algorithms in truss topological optimization by Hajela (1995)
10.1016/j.advengsoft.2019.04.002 / Adv. Eng. Softw / FDMopt: force density method for optimal geometry and topology of trusses by Hayashi (2019)
{'key': 'B16', 'first-page': '770', 'article-title': '“Deep residual learning for image recognition,”', 'volume-title': '2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)', 'author': 'He', 'year': '2015'} / 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) / “Deep residual learning for image recognition,” by He (2015)
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Dates

Type	When
Created	5 years, 3 months ago (April 30, 2020, 10:23 a.m.)
Deposited	4 years, 5 months ago (March 11, 2021, 9:10 p.m.)
Indexed	2 weeks ago (Aug. 7, 2025, 5:09 p.m.)
Issued	5 years, 3 months ago (April 30, 2020)
Published	5 years, 3 months ago (April 30, 2020)
Published Online	5 years, 3 months ago (April 30, 2020)

Funders 1

Japan Society for the Promotion of Science 10.13039/501100001691
Region: Asia
gov (National government)
Labels6
1. KAKENHI
2. 日本学術振興会
3. Gakushin
4. JSPS KAKEN
5. JSPS Grants-in-Aid for Scientific Research
6. JSPS

BibTeX

@article{Hayashi_2020, title={Reinforcement Learning and Graph Embedding for Binary Truss Topology Optimization Under Stress and Displacement Constraints}, volume={6}, ISSN={2297-3362}, url={http://dx.doi.org/10.3389/fbuil.2020.00059}, DOI={10.3389/fbuil.2020.00059}, journal={Frontiers in Built Environment}, publisher={Frontiers Media SA}, author={Hayashi, Kazuki and Ohsaki, Makoto}, year={2020}, month=apr }

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