Makoto Ohsaki

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Kazuki Hayashi

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Publications

2024
[j14]
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Chi-tathon Kupwiwat, Kazuki Hayashi, Makoto Ohsaki:
Multi-objective optimization of truss structure using multi-agent reinforcement learning and graph representation. Eng. Appl. Artif. Intell. 129: 107594 (2024)
2023
[j13]
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  - journals/apin/KupwiwatHO23
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Chi-tathon Kupwiwat, Kazuki Hayashi, Makoto Ohsaki:
Deep deterministic policy gradient and graph attention network for geometry optimization of latticed shells. Appl. Intell. 53(17): 19809-19826 (2023)
[j12]
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  - journals/cagd/HayashiJOKY23
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Kazuki Hayashi, Yoshiki Jikumaru, Makoto Ohsaki, Takashi Kagaya, Yohei Yokosuka:
Mean curvature flow for generating discrete surfaces with piecewise constant mean curvatures. Comput. Aided Geom. Des. 101: 102169 (2023)
2022
[j11]
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  - journals/aei/HayashiO22
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Kazuki Hayashi, Makoto Ohsaki:
Graph-based reinforcement learning for discrete cross-section optimization of planar steel frames. Adv. Eng. Informatics 51: 101512 (2022)
2021
[j10]
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  - journals/aes/ZhuOHG21
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Shaojun Zhu, Makoto Ohsaki, Kazuki Hayashi, Xiaonong Guo:
Machine-specified ground structures for topology optimization of binary trusses using graph embedding policy network. Adv. Eng. Softw. 159: 103032 (2021)
[j9]
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  - journals/cad/HayashiJOKY21
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Kazuki Hayashi, Yoshiki Jikumaru, Makoto Ohsaki, Takashi Kagaya, Yohei Yokosuka:
Discrete Gaussian Curvature Flow for Piecewise Constant Gaussian Curvature Surface. Comput. Aided Des. 134: 102992 (2021)
[j8]
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  - journals/ewc/HayashiO21
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Kazuki Hayashi, Makoto Ohsaki:
Reinforcement learning for optimum design of a plane frame under static loads. Eng. Comput. 37(3): 1999-2011 (2021)
2019
[j6]
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  - journals/aes/HayashiO19
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Kazuki Hayashi, Makoto Ohsaki:
FDMopt: Force density method for optimal geometry and topology of trusses. Adv. Eng. Softw. 133: 12-19 (2019)

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