Tatsumi Keiji

タツミケイジ | Tatsumi Keiji

Affiliation and department：
Job title： Associate Professor

Research field (3)： Soft computing , Control and systems engineering , Intelligent informatics

Research keywords (6)：サポートべクトルマシン , 大域的最適化 , カオスダイナミクス , Support vector machine , Global optimization , Chaos dynamics

Research theme for competitive and other funds (6)：

2020 - 2023 Study on combination of mathematical programming and evolutionary multi-point methods
2017 - 2020 大域的探索強化と局所解近傍の形状情報を用いる摂動型カオス進化計算最適化手法
2012 - 2016 多クラス識別に対する幾何的マージン最大化ソフトマージンサポートベクトルマシン
2009 - 2012 カオスダイナミクスを用いたパーティクルスォーム最適化法
2005 - 2007 カオスダイナミクスを用いた大域的最適化問題の解法

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Papers (92)：

Haruhisa Miyahara, Keiji Tatsumi, Yeboon Yun. Recurrent Neural Networks Considering Natural Conditions for Determination of the Reinforcement Degrees when Constructing Infrastructure Structures. 2024. 37. 9. 237-246
Keiji Tatsumi, Ryota Masui, Haruhisa Miyahara, Yeboon Yun. Multiclass piecewise-linear SVMs with the restricted feasible region for the reinforcement degrees in constructing large-scale structures. Knowledge-Based Systems. 2024. 300. 112197-112197
Keiji Tatsumi, Satoshi Maruyama, Yeboon Yun. Multiclass piecewise-linear SVMs based on division of data space for determining the reinforcement degrees of large-scale structures. 2024 International Joint Conference on Neural Networks (IJCNN). 2024. 83. 1-6
Keiji Tatsumi, Nao Kinoshita. Analysis of dependence of grey wolf optimizer to shift-transformations and its shift-invariant improved methods adaptively controlling the search areas. SICE Journal of Control, Measurement, and System Integration. 2024. 17. 1. 66-79
Yoshifumi Kusunoki, Keiji Tatsumi. Multi-Class Support Vector Machine Based on Minimization of Reciprocal-Geometric-Margin Norms. 2023

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MISC (30)：

Invited Talk : SAR A/D Converter Using Stochastic Conversion and Machine-Learning Error Correction. 2017. 117. 167. 95-100
Invited Talk : SAR A/D Converter Using Stochastic Conversion and Machine-Learning Error Correction. 2017. 41. 25. 95-100
A Regularizer Tuning Sparsity and Its Application to Regression Analysis. 2017. 61. 4p
An approximation method for a multiobjective SVM maximizing geometric margins for multiclass classification problems. 2017. 61. 3p
Particle swarm optimization : A perturbation-based chaotic particle swarm optimization using an intensive search in the direction between best solutions. 2016. 60. 4p

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Patents (1)：

Books (1)：

Lectures and oral presentations (10)：

大規模構造物建設時の補強度合判別問題への機械学習の適用
(システム制御情報学会研究発表講演会(SCI’21) 2021)
Multiclass Support Vector Machine Classifying the Degree of Reinforcement in Construction of a Large-scale Structure
(The International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM) 2020 2020)
A Complexity Reduction Method for the Multiobjective Multiclass Support Vector Machine
(IFORS 2014 2014)
Multiclass Support Vector Machines Based on Multiobjective Optimization
(2012)
A Perturbation Based Chaotic Particle Swarm Optimization Using Differential Information and Multi-type Swarms
(Proceedings of SJOM2008 2008)

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Works (2)：

Education (4)：

1996 - 1998 Kyoto University
1995 - 1996 Nara Institute of Science and Technology Graduate School of Information Science
1993 - 1995 Nara Institute of Science and Technology Graduate School of Information Science
1989 - 1993 Kyoto University Faculty of Engineering

Professional career (2)：

Work history (3)：

2009/05 - 現在 Osaka University Division of Electrical, Electronic, and Information Engineering, Graduate School of Engineering Associate Professor
2007/04 - 2009/04 Osaka University Division of Electrical, Electronic, and Information Engineering, Graduate School of Engineering Assistant Professor
1998/04 - 2007/03 Osaka University

Committee career (1)：

Awards (1)：

Association Membership(s) (3)：

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 , IEEE

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