強化学習を用いたトラスと骨組の最適化

• Material Type: 博士論文
• Title: 強化学習を用いたトラスと骨組の最適化
• Author/Editor: チタトーン, クパウィワト
• Author Heading: チタトーン, クパウィワト
• Publication, Distribution, etc.: Kyoto University
• Publication Date: 2024-03-25
• Publication Date (W3CDTF): 2024-03-25
• Alternative Title: Optimization of Trusses and Frames using Reinforcement Learning
• Contributor: 大崎, 純; 西山, 峰広; 藤田, 皓平
• Degree Grantor: 京都大学; Kyoto University
• Date Granted: 2024-03-25
• Date Granted (W3CDTF): 2024-03-25
• Dissertation Number: 甲第25241号
• Degree Type: 博士(工学)
• Text Language Code: eng
• Subject Heading: trusse; frame; structural optimization; machine learning; reinforcement learning
• NDC: 500
• Target Audience: 一般
• Note (General): 出版タイプ： VoR; 機関リポジトリ記載の権利情報: "Deep deterministic policy gradient and graph attention network for geometry optimization of latticed shells" Chi-tathon Kupwiwat, Kazuki Hayashi, Makoto Ohsaki ("Applied Intelligence" September 2023, Volume 53, No.17, pp 129-139). doi: 10.1007/s10489-023-04565-w Copyright 2023 Springer Nature Ltd. Reproduced with permission. To access the final edited and published work, see [https://doi.org/10.1007/s10489-023-04565-w] "Multi-objective optimization of truss structure using multi-agent reinforcement learning and graph representation" Chi-tathon Kupwiwat, Kazuki Hayashi, Makoto Ohsaki ("Engineering Applications of Artificial Intelligence" March 2024, Volume 129(107594), No Page). doi: 10.1016/j.engappai.2023.107594 Copyright 2023 Elsevier Ltd. Reproduced with permission. To access the final edited and published work, see [https://doi.org/10.1016/j.engappai.2023.107594]
• DOI: 10.14989/doctor.k25241; https://doi.org/10.14989/doctor.k25241
• Persistent ID (NDL): info:ndljp/pid/13731357; https://dl.ndl.go.jp/pid/13731357
• Collection: 障害者向け資料
• Collection (Materials For Handicapped People:1): テキストデータ
• Collection (particular): 国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文; https://dl.ndl.go.jp/collections/A00014
• Acquisition Basis: 博士論文（自動収集）
• Format (IMT): application/pdf; text/html
• Access Restrictions: 国立国会図書館内限定公開
• Service for the Digitized Contents Transmission Service: 図書館・個人送信対象外
• Availability of remote photoduplication service: 可
• Periodical Title (URI): https://doi.org/10.14989/doctor.k25241; http://hdl.handle.net/2433/288675
• Data Provider (Database): 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp

• DOI: 10.14989/doctor.k25241; https://doi.org/10.14989/doctor.k25241
• Format (IMT): application/pdf
• Source: dkogk05200.pdf （fulltext）; https://repository.kulib.kyoto-u.ac.jp/bitstreams/8bc75765-1524-478c-ac14-84f80d151d22/download
• Access Restrictions: インターネット公開
• Rights (production): "Deep deterministic policy gradient and graph attention network for geometry optimization of latticed shells" Chi-tathon Kupwiwat, Kazuki Hayashi, Makoto Ohsaki ("Applied Intelligence" September 2023, Volume 53, No.17, pp 129-139). doi: 10.1007/s10489-023-04565-w Copyright 2023 Springer Nature Ltd. Reproduced with permission. To access the final edited and published work, see [https://doi.org/10.1007/s10489-023-04565-w] "Multi-objective optimization of truss structure using multi-agent reinforcement learning and graph representation" Chi-tathon Kupwiwat, Kazuki Hayashi, Makoto Ohsaki ("Engineering Applications of Artificial Intelligence" March 2024, Volume 129(107594), No Page). doi: 10.1016/j.engappai.2023.107594 Copyright 2023 Elsevier Ltd. Reproduced with permission. To access the final edited and published work, see [https://doi.org/10.1016/j.engappai.2023.107594]
• Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）; https://irdb.nii.ac.jp
• Original Data Provider (Database): 京都大学 : 京都大学学術情報リポジトリ

Table of Contents

2026-03-07 再収集

2026-03-07 再収集