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TANABE Ryoji
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【Published Thesis】 Success-history based parameter adaptation for Differential Evolution 2013.06
【Published Thesis】 An Analysis of Quality Indicators Using Approximated Optimal Distributions in a Three-dimensional Objective Space 2020
【Published Thesis】 Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization 2022
【Published Thesis】 Speeding up Local Search for the Indicator-based Subset Selection Problem by a Candidate List Strategy(IEEE Transactions on Evolutionary Computation) 2026.02
【Published Thesis】 Quality Indicators for Preference-based Evolutionary Multi-objective Optimization Using a Reference Point: A Review and Analysis(IEEE Transactions on Evolutionary Computation) 2024
【Published Thesis】 Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization 2022
【Published Thesis】 Contrasting the Landscapes of Feature Selection under Different Machine Learning Models(Parallel Problem Solving from Nature) 2024.09
【Published Thesis】 On the Unbounded External Archive and Population Size in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point(Proceedings of the Genetic and Evolutionary Computation Conference ) 2023.07
I am currently an Associate Professor at Yokohama National University, Japan. Previously, I was a Research Assistant Professor at Southern University of Science and Technology, China, from 2017 to 2019. I was a Post-Doctoral Researcher at JAXA, Japan, from 2016 to 2017. I received my Ph.D. in Science from The University of Tokyo, Japan, in 2016. I received my M.S degree in Engineering from Sophia University, Japan, in 2013. I received my B.S degree in Engineering from Sophia University, Japan, in 2011.
The University of Tokyo Doctor Course Completed
Sophia University Doctor Course Completed
Sophia University Graduated
Doctor of Philosophy - The University of Tokyo
Master of Engineering - Sophia University
Duty Yokohama National UniversityFaculty of Environment and Information Sciences Division of Social Environment and Information Associate Professor
Duty Yokohama National UniversityFaculty of Environment and Information Sciences Division of Social Environment and Information Assistant Professor
Concurrently Yokohama National UniversityGraduate School of Environment and Information Sciences Department of Information Environment Associate Professor
Concurrently Yokohama National UniversityGraduate School of Environment and Information Sciences Department of Information Environment Assistant Professor
RIKEN Center for Advanced Intelligence Project Visiting Researcher
Southern University of Science and Technology Department of Computer Science and Engineering Research Assistant Professor
Japan Aerospace Exploration Agency Institute of Space and Astronautical Science Postdoctoral researcher
Japan Society for the Promotion of Science Research Fellowship for Young Scientists of the Japan Society for the Promotion of Science DC2
ACM SIGEVO
IEEE CIS
The Japanese Society for Evolutionary Computation
関数最適化問題に対する適応型差分進化法の研究
田邊遼司
2016.3
Doctoral Thesis Single Work
Benchmarking Stopping Criteria for Evolutionary Multi-objective Optimization
Kenji Kitamura, Ryoji Tanabe
Genetic and Evolutionary Computation Conference 2026.7 [Reviewed]
Authorship：Last author, Corresponding author Language：English Publishing type：Research paper (international conference proceedings) Single Work
Other Link： https://arxiv.org/abs/2604.25458
A Bi-Criteria Selection Framework for Incorporating Preference Information into Evolutionary Multi-objective Optimization
Ryuichi Mogami, Ryoji Tanabe
Genetic and Evolutionary Computation Conference 2026.7 [Reviewed]
Authorship：Last author, Corresponding author Language：English Publishing type：Research paper (international conference proceedings) Single Work
Keisuke Korogi, Ryoji Tanabe
IEEE Transactions on Evolutionary Computation 2026.2 [Reviewed]
Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal) Single Work
Other Link： https://arxiv.org/abs/2503.04224
Analyzing the Landscape of the Indicator-based Subset Selection Problem
Keisuke Korogi and Ryoji Tanabe
Genetic and Evolutionary Computation Conference 2025.7 [Reviewed]
Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings) Single Work
Other Link： https://arxiv.org/abs/2504.08282
Contrasting the Landscapes of Feature Selection under Different Machine Learning Models
Arnaud Liefooghe, Ryoji Tanabe, and Sébastien Verel
Parallel Problem Solving from Nature 2024.9 [Reviewed]
Language：English Publishing type：Research paper (international conference proceedings) Single Work
Other Link： https://ulco.hal.science/hal-04692860/file/liefooghe-ppsn2024.pdf
田邊遼司, 串田淳一, 畠中利治
計測と制御 2015.8
Language：Japanese Publishing type：Article, review, commentary, editorial, etc. (scientific journal) Publisher：計測自動制御学会学会誌 Joint Work
Other Link： https://www.jstage.jst.go.jp/article/sicejl/54/8/54_567/_article/-char/ja/
Best paper nomination
2023.7 ACM GECCO2023
Individual or group name of awards：Ryoji Tanabe
Best paper nomination
2018.9 PPSN2018 A Decomposition-based Evolutionary Algorithm for Multi-modal Multi-objective Optimization
Individual or group name of awards：Ryoji Tanabe, Hisao Ishibuchi
IEEE CIS Japan Chapter Young Researcher Award
2017.12 IEEE CIS Japan Chapter 多峰性多数目的最適化問題に対するニッチングを用いたIndicator-Based Evolutionary Algorithm
Individual or group name of awards：田邊遼司, 石淵久生
ベストポスター発表賞
2017.12 進化計算学会 多峰性多数目的最適化問題に対するニッチングを用いたIndicator-Based Evolutionary Algorithm
Individual or group name of awards：田邊遼司, 石淵久生
Best paper nomination
2017.7 ACM GECCO2017 TPAM: A Simulation-Based Model for Quantitatively Analyzing Parameter Adaptation Methods
Individual or group name of awards：Ryoji Tanabe, Alex Fukunaga
ブラックボックス最適化に対する自己適応的な自動アルゴリズム選択システム
Grant number：25K03194 2025.4 - 2030.3
Grant-in-Aid for Scientific Research(B)
Investigator(s)：田邊 遼司
Authorship：Principal investigator Grant type：Competitive
Automatic Configuration of Preference-based Evolutionary Multi-objective Optimization Algorithms
2021.4 - 2024.3
Grant-in-Aid for Scientific Research Grant-in-Aid for Early-Career Scientists
Grant type：Competitive
Towards a more general and practical evolutionary algorithm
2019.12 - 2024.3
Grant-in-Aid for Scientific Research Leading Initiative for Excellent Young Researchers
Investigator(s)：Ryoji Tanabe
Grant type：Competitive
多目的最適化問題に対する実用的な適応型差分進化法の開発, その応用 (国外機関に異動のため, 採択後交付辞退)
2017.4 - 2021.3
科学研究費補助金 Grant-in-Aid for Young Scientists(B)
Grant type：Competitive
2014.4 - 2016.3
Grant-in-Aid for Scientific Research Grant-in-Aid for JSPS Fellows
Investigator(s)：Ryoji Tanabe
Grant type：Competitive
2026 Information Literacy
College of Engineering Science
2026 Programming ExercisesⅡ
College of Engineering Science
2026 Programming Languages
College of Engineering Science
2026 Laboratory for Electrical and Computer Engineering
College of Engineering Science
2026 Programming Exercises I
College of Engineering Science
