Yun Yeboon

Research field (4)： Social systems engineering , Machine elements and tribology , Safety engineering , Design engineering

Research keywords (2)：システム工学 , System Engineering and Optimization

Research theme for competitive and other funds (7)：

2021 - 2024 Proposal of a combination of sustainable urban transport policies using a multi-agent model
2016 - 2020 Study on Effective Learning on Multi-objective Sequential Optimization and its Applications
2011 - 2012 Evaluation of Infrastructure Facilities Using Machine Learning
2006 - 2007 計算知能による近似最適化法とその応用に関する研究
2005 - 2007 社会基盤システムのLive Designのための避難シミュレーションシステムの開発に関する研究

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Papers (85)：

K.Tatsumi, S.Maruyama, Y.Yun. Determination of Reinforcement Degree of Large-Scale Structures in Construction Using Multiclass Linear Support Vector Piecewise-Large-scale Structures by using Multiclass Support Vector Machines. 2024. pp.619-pp.620
長江謙吾, 尹禮分, 西尾彰宣, 楠見晴重. 地質帯を考慮した機械学習によるNATMトンネル支保パターン評価に関する研究. 第50回岩盤力学に関するシンポジウム講演集2024. 2024. pp.226-231
中田真成, 尹禮分, 西尾彰宣, 楠見晴重. 深層学習によるトンネル切羽岩盤の亀裂,風化評価及び支保パターン決定への適用に関する研究る研究. 第 50 回岩盤力学に関するシンポジウム講演論文集2024. 2024. pp.220-225
YUN Yeboon. Application of Convolution Neural Networks to Genetic Algorithms for Solving Constrained Optimization Problems. 2023. pp.112-116
M. Nakata, K. D. Halim, Y.B. Yun, H. Kusumi, A. Nishio. Rock Evaluation of NATM Tunnel Face Using Deep Learning. 15th ISRM Congress 2023 & 72nd Geomechanics Colloquium. Schubert & Kluckner (eds.). 2023. pp.721-726

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MISC (106)：

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Patents (5)：

Books (12)：

Generalized data envelopment analysis and computational intelligence in multiple criteria decision making
Multicriteria Decision Aid and Artificial Intelligence: Links, Theory, and Applications, John Wiley & Sons (Eds: M. Doumpos, E. Grigoroudis) 2013
計算知能の逐次近似多目的最適化への応用
オペレーションズ・リサーチ誌 2012
メタモデルと多目的最適化手法
システム制御情報学会学会誌 2011
Computational Intelligence in Expensive Optimization Problems (Adaptation, Learning, and Optimization)
Springer 2010
Sequential Approximate Multi-Objective Optimization using Computational Intelligence
Springer 2009

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Lectures and oral presentations (116)：

Proposal on Model for Predicting the Risk of Heatstroke by Machine Learning basedon Data Driven Approach
(第28回関西大学先端科学技術シンポジウム 2024)
中国のSNSからみる日本観光に対する需要変化とトレンド分析
(第28回関西大学先端科学技術シンポジウム 2024)
Extension of DEA Model based on Tchebyshev Distance for a Decision Making
(第28回関西大学先端科学技術シンポジウム 2024)
On Applying a Graph Convolutional Neural Network to Genetic Algorithm in Constrained Optimization
(第28回関西大学先端科学技術シンポジウム 2024)
機械学習による複数の揚水井が密集した被圧観測井水位の将来予測
(令和5年度土木学会全国大会 2023)

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Works (6)：

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Education (4)：

- 2000 Osaka University Graduate School, Division of Engineering
2000 - Osaka University Graduate School, Division of Engineering
1996 - 1996 Pukyong University, Graduate School Graduate School, Division of Natural Science Applied Mathematics
- 1994 Pukyong University Faculty of Science Applied Mathematics

Professional career (2)：

Work history (6)：

2007/04 - 2010/03 - 香川大学工学部, 准教授
2007/04 - 2010/03 - Faculty of Engneering, Kagawa University, Associate Professor
2006 - 2007 Faculty of Engneering, Kagawa University, Associate Professor
2006 - 2007 Kagawa University Faculty of Engineering
2000 - 2006 Kagawa University Faculty of Engineering

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Committee career (3)：

2009/04 - Evolutionary Multi-Criterion Optimization, 5th International Conference on Evolutionary Multi-Criterion Optimization (EMO2009), Programming Committee
2007/12 - International Conference on Optimization: Techniques and Applications, The 7th International Conference on Optimization: Techniques and Applications, Organizer and Chairman of Session
2007/03 - Evolutionary Multi-Criterion Optimization, Fourth International Conference on Evolutionary Multi-Criterion Optimization (EMO2007), Programming Committee

Association Membership(s) (8)：

土木学会 , MOPGP , MCDM , IEEE , 計算工学会 , 計測自動制御学会 , システム制御情報学会 , 日本オペレーションズ・リサーチ学会

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