NAKATA Masaya 中田雅也

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Nakata Masaya 中田雅也

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Researcher Number	00781072
Other IDs
Affiliation (Current)	2025: 横浜国立大学, 大学院工学研究院, 准教授
Affiliation (based on the past Project Information) *help	2019 – 2025: 横浜国立大学, 大学院工学研究院, 准教授 2018: 横浜国立大学, 大学院工学研究院, 助教
Review Section/Research Field	Principal Investigator Basic Section 61040:Soft computing-related
Keywords	Principal Investigator 最適化 / 機械学習 / 進化計算 / 多目的最適化 / ベイズ最適化 / 説明可能性 / 進化的ルール学習 / 関数同定 / 進化的機械学習 / メタヒューリスティックス

工学設計に変革をもたらす超低コスト高次元多目的最適化の開拓Principal Investigator
- Principal Investigator
  
  中田雅也
- Project Period (FY)
  2025 – 2028
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  Yokohama National University
Explainable Evolutionary ComputationPrincipal Investigator
- Principal Investigator
  
  中田雅也
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  Yokohama National University
Self-generation of Optimization criteria on Evolutionary Computation for Computationally-expensive optimization problemsPrincipal Investigator
- Principal Investigator
  
  Nakata Masaya
- Project Period (FY)
  2018 – 2019
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  Yokohama National University

All 2024 2023 2022 2021 2020 2019 2018

All Journal Article Presentation

[Journal Article] Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems2024
- Author(s)
  Horaguchi Yuma、Nishihara Kei、Nakata Masaya
- Journal Title
  
  Swarm and Evolutionary Computation
  
  Volume: 86 Pages: 101516-101516
- DOI
  10.1016/j.swevo.2024.101516
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K20388
[Journal Article] Emulation-based adaptive differential evolution: fast and auto-tunable approach for moderately expensive optimization problems2024
- Author(s)
  Kei Nishihara, Masaya Nakata
- Journal Title
  
  Complex & Intelligent Systems
  
  Volume: - Issue: 3 Pages: 1-24
- DOI
  10.1007/s40747-023-01340-9
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22KJ1409, KAKENHI-PROJECT-23K20388
[Journal Article] 分類器による事前選別を用いた近似型代理モデル多目的進化計算の拡張2023
- Author(s)
  洞口裕真, 池口尭, 中田雅也
- Journal Title
  
  情報処理学会論文誌：数理モデル化と応用
  
  Volume: 16 Pages: 23-35
- Data Source
  KAKENHI-PROJECT-23K20388
[Journal Article] 遺伝的プログラミングと進化的ルール学習を用いた区分的関数同定2023
- Author(s)
  庄子天晴, 栗山正輝, 中田雅也
- Journal Title
  
  情報処理学会論文誌：数理モデル化と応用
  
  Volume: 16 Pages: 36-49
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K20388
[Journal Article] Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multi-Objective Problems2022
- Author(s)
  Sonoda Takumi、Nakata Masaya
- Journal Title
  
  IEEE Transactions on Evolutionary Computation
  
  Volume: Early access Issue: 6 Pages: 1-1
- DOI
  10.1109/tevc.2022.3159000
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K20388
[Journal Article] Theoretical Analysis of Accuracy-based Fitness on Learning Classifier Systems2022
- Author(s)
  Sugawara, Rui and Nakata, Masaya
- Journal Title
  
  IEEE Access
  
  Volume: 10 Pages: 64862-64872
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K20388
[Journal Article] Learning Optimality Theory for Accuracy-Based Learning Classifier Systems2021
- Author(s)
  Nakata Masaya、Browne Will N.
- Journal Title
  
  IEEE Transactions on Evolutionary Computation
  
  Volume: 25 Issue: 1 Pages: 61-74
- DOI
  10.1109/tevc.2020.2994314
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20388
[Journal Article] Particle swarm optimization of silicon photonic crystal waveguide transition2021
- Author(s)
  Shiratori Ryo、Nakata Masaya、Hayashi Kosuke、Baba Toshihiko
- Journal Title
  
  Optics Letters
  
  Volume: 46 Issue: 8 Pages: 1904-1904
- DOI
  10.1364/ol.422551
- NAID
  120007043588
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K20388
[Journal Article] Hybrid Surrogate-Assisted Particle Swarm Optimization Based on Approximation and Classification Models2021
- Author(s)
  宮原悠司、中田雅也
- Journal Title
  
  Transaction of the Japanese Society for Evolutionary Computation
  
  Volume: 12 Issue: 3 Pages: 73-87
- DOI
  10.11394/tjpnsec.12.73
- NAID
  130008141288
- ISSN
  2185-7385
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 代理モデル多目的進化計算における内部世代数に対する性能分析2023
- Author(s)
  加藤龍大, 洞口裕真, 中田雅也
- Organizer
  第23回進化計算学会研究会
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 重み付き隣接行列を用いたサロゲート遺伝的プログラミング2023
- Author(s)
  針谷亘輝, 中田雅也
- Organizer
  電気学会システム/制御合同研究会
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 部分問題の最適化順に順列最適化手法を適用したMOEA/Dの検討2023
- Author(s)
  場脩真, 加藤龍大, 池口尭, 中田雅也
- Organizer
  進化計算シンポジウム2023
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 部分問題間の探索に転移モデルを用いた代理モデル多目的進化計算2023
- Author(s)
  小山天輔, 加藤龍大, 洞口裕真, 中田雅也
- Organizer
  進化計算シンポジウム2023
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] パレート最適なサロゲート群を利用する適応サロゲート進化計算2023
- Author(s)
  西原慧, 中田雅也
- Organizer
  進化計算シンポジウム2023
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 大規模最適化問題における増分学習を用いた分割ベースサロゲート進化計算2023
- Author(s)
  来栖魁人, 中田雅也
- Organizer
  進化計算シンポジウム2023
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] Quality indicatorの代理モデルを用いた多目的進化計算2023
- Author(s)
  洞口裕真, 中田雅也
- Organizer
  第24回進化計算学会研究会講演論文集
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 代理モデル多目的進化計算におけるモデル探索回数の適応的選択2023
- Author(s)
  加藤龍大, 洞口裕真, 中田雅也
- Organizer
  進化計算シンポジウム2023
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] High-Dimensional Expensive Optimization by Classification-based Multiobjective Evolutionary Algorithm with Dimensionality Reduction2023
- Author(s)
  Yuma Horaguchi and Masaya Nakata
- Organizer
  SICE Annual Conference 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] Dempster-Shaferの証拠理論に基づくファジィ進化的機械学習2023
- Author(s)
  白石洋輝, 石渕久生, 中田雅也
- Organizer
  進化計算シンポジウム2023
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 区分的関数構造を発見する Deep Symbolic Regression2023
- Author(s)
  藤橋洋紀, 針谷亘輝, 中田雅也
- Organizer
  進化計算シンポジウム2023
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 代理モデル多目的進化計算における近似モデルと分類モデルの適応的選択2023
- Author(s)
  洞口裕真, 中田雅也
- Organizer
  進化計算シンポジウム2023
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 記号回帰モデルを用いたEvolutionary Neural Architecture Search2023
- Author(s)
  針谷亘輝, 西原慧, 中田雅也
- Organizer
  進化計算シンポジウム2023
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] Utilizing the Expected Gradient in Surrogate-assisted Evolutionary Algorithms2023
- Author(s)
  Kei Nishihara and Masaya Nakata
- Organizer
  Genetic and Evolutionary Computation Conference 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 高コストな高次元最適化問題における問題分割手法の検討2023
- Author(s)
  須藤駿, 中田雅也
- Organizer
  第24回進化計算学会研究会講演論文集
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 仮想的な親個体を用いた多目的進化計算2023
- Author(s)
  木元紀宏, 洞口裕真, 中田雅也
- Organizer
  進化計算シンポジウム2023
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 部分領域に特化したサロゲートを探索と選別で活用する粒子群最適化2022
- Author(s)
  菅原瑠偉, 三浦岳也, 中田雅也
- Organizer
  第30回インテリジェント・システム・シンポジウム
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 分類器による事前選別を用いた近似型代理モデル多目的進化計算の拡張2022
- Author(s)
  洞口裕真, 池口尭, 中田雅也
- Organizer
  第141回数理モデル化と問題解決研究発表会
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] オートエンコーダによるサロゲート多目的進化計算の高次元問題への展開2022
- Author(s)
  池口尭, 礒田真子, 園田拓海, 中田雅也
- Organizer
  第30回インテリジェント・システム・シンポジウム
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 遺伝的プログラミングと進化的ルール学習を用いた区分的関数同定2022
- Author(s)
  庄子天晴, 栗山正輝, 中田雅也
- Organizer
  第141回数理モデル化と問題解決研究発表会
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 代理モデルを用いた Gene Expression Programming2022
- Author(s)
  平岡巧光, 蛭田悠介, 三浦岳也, 中田雅也
- Organizer
  第16回進化計算シンポジウム
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 代理モデル多目的進化計算におけるスカラー化関数の適応2022
- Author(s)
  洞口裕真, 中田雅也
- Organizer
  代理モデル多目的進化計算におけるスカラー化関数の適応
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] Minimum Rule-Repair Algorithm for Supervised Learning Classifier Systems on Real-Valued Classification Tasks2021
- Author(s)
  Koki Hamasaki, Masaya Nakata
- Organizer
  8 th International Conference on Metaheuristics and Nature Inspired computing
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 非線形次元圧縮法を用いた近似サロゲート型多目的進化計算2021
- Author(s)
  礒田真子, 宮原悠司, 園田拓海, 中田雅也
- Organizer
  021年電気学会電子・情報・システム部門大会講演会
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 進化的ルール学習におけるMoyenne Adaptive Modifie更新を考慮した学習最適性理論2021
- Author(s)
  坪井陽人, 中村嘉来, 堀内素貴, 中田雅也
- Organizer
  第15回進化計算シンポジウム
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] Convergence Analysis of Rule-Generality on the XCS Classifier System2021
- Author(s)
  Yoshiki Nakamura, Motoki Horiuchi, and Masaya Nakata
- Organizer
  Genetic and Evolutionary Computation Conference 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 視覚情報に基づく進化的関数同定の検討2021
- Author(s)
  針谷亘輝, 西原慧, 中田雅也
- Organizer
  第15回進化計算シンポジウム
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 進化的ルール学習における適応度関数の理論解析2021
- Author(s)
  菅原瑠偉, 堀内素貴, 中田雅也
- Organizer
  第20回進化計算学会研究会講演会
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] Comparison of Adaptive Differential Evolution Algorithms on the MOEA/D-DE Framework2021
- Author(s)
  Kei Nishihara and Masaya Nakata
- Organizer
  2021 IEEE Congress on Evolutionary Computation
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] Convergence Analysis of Rule-Generality on the XCS Classifier System2021
- Author(s)
  Nakamura, Yoshiki and Horiuchi, Motoki and Nakata, Masaya
- Organizer
  Genetic and Evolutionary Computation Conference 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] Comparison of Adaptive Differential Evolution Algorithms on the MOEA/D-DE Framework2021
- Author(s)
  Nishihara, Kei and Nakata, Masaya
- Organizer
  IEEE Congress on Evolutionary Computation 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] RBF補間を自動調整する適応型サロゲート粒子群最適化2021
- Author(s)
  三浦岳也, 宮原悠司, 中田雅也
- Organizer
  第15回進化計算シンポジウム
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] Extended Learning Optimality Theory for the XCS classifier system on Multiple Reward Scheme2021
- Author(s)
  Horiuchi Motoki and Nakata Masaya
- Organizer
  IEEE Symposium Series on Computational Intelligence 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 高計算コストな最適化問題に向けた事前検証型アンサンブル適応差分進化2021
- Author(s)
  西原慧, 中田雅也
- Organizer
  インテリジェント・システム・シンポジウム 2021
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] Cartesian Genetic Programming を用いた進化的ルール学習による区分的関数同定2020
- Author(s)
  栗山正輝, 濵﨑光希, 中田雅也
- Organizer
  第14回進化計算シンポジウム
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 分類型と近似型のハイブリッドサロゲートに基づく粒子群最適化法2020
- Author(s)
  宮原悠司, 園田拓海, 西原慧, 中田雅也
- Organizer
  第14回進化計算シンポジウム
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] Competitive-Adaptive Algorithm-Tuning of Metaheuristics inspired by the Equilibrium Theory: A Case Study2020
- Author(s)
  Kei Nishihara and Masaya Nakata
- Organizer
  IEEE World Congress on Computational Intelligence 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18123
[Presentation] MOEA/D-S3: MOEA/D using SVM-based Surrogates adjusted to Subproblems for Many objective optimization2020
- Author(s)
  Takumi Sonoda and Masaya Nakata
- Organizer
  2020 IEEE Congress on Evolutionary Computation
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 確率的ローカルサーチを取り入れた進化的ルール学習2020
- Author(s)
  掛見弘貴, 堀内素貴, 中田雅也
- Organizer
  第14回進化計算シンポジウム
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] An Overview of LCS Research from IWLCS 2019 to 20202020
- Author(s)
  David Patzel, Anthony Stein, Masaya Nakata
- Organizer
  Genetic and Evolutionary Computation Conference Companion 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 進化的ルール学習におけるルール汎用性の理論解析2020
- Author(s)
  中村嘉来, 堀内素貴, 中田雅也
- Organizer
  第14回進化計算シンポジウム
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] Self-adaptation of XCS learning parameters based on Learning theory2020
- Author(s)
  Motoki Horiuchi and Masaya Nakata
- Organizer
  Genetic and Evolutionary Computation Conference 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 高次元かつ高計算コストな多目的最適化におけるサロゲート進化計算の設計指針2020
- Author(s)
  園田拓海, 中田雅也
- Organizer
  第14回進化計算シンポジウム
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] 決定的ルール修復機構を搭載した進化的ルール学習2020
- Author(s)
  濵﨑光希, 中田雅也
- Organizer
  第64回システム制御情報学会研究発表講演会講演論文予稿集
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] Competitive-Adaptive Algorithm-Tuning of Metaheuristics inspired by the Equilibrium Theory: A Case Study2020
- Author(s)
  Kei Nishihara and Masaya Nakata
- Organizer
  2020 IEEE Congress on Evolutionary Computation
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] Self-adaptation of XCS learning parameters based on Learning theory2020
- Author(s)
  Motoki Horiuchi and Masaya Nakata
- Organizer
  The Genetic and Evolutionary Computation Conference 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18123
[Presentation] MOEA/D-S^3: MOEA/D using SVM-based Surrogates adjusted to Subproblems for Many objective optimization2020
- Author(s)
  Takumi Sonoda and Masaya Nakata
- Organizer
  IEEE World Congress on Computational Intelligence 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18123
[Presentation] 自己適応型差分進化法におけるアルゴリズム構成の事前検証フレームワークによる性能の向上2020
- Author(s)
  西原慧, 中田雅也
- Organizer
  研究報告数理モデル化と問題解決,
- Data Source
  KAKENHI-PROJECT-23K20388
[Presentation] Complex-Valued-based Learning Classifier System for POMDP Environments2019
- Author(s)
  Keiki Takadama, Daichi Yamazaki, Masaya Nakata and Hiroyuki Sato
- Organizer
  IEEE World Congress on Evolutionary Computation 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18123
[Presentation] How XCS Can Prevent Misdistinguishing Rule Accuracy: A Preliminary Study2019
- Author(s)
  Masaya Nakata and Will Browne
- Organizer
  The Genetic and Evolutionary Computation Conference 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18123
[Presentation] SVMを用いた優良個体存在領域の予測による差分進化2018
- Author(s)
  池原健矢,濱上知樹,中田雅也,佐々木勇人
- Organizer
  第28回インテリジェント・システム・シンポジウム
- Data Source
  KAKENHI-PROJECT-18K18123
[Presentation] Theoretical adaptation of multiple rule-generation in XCS2018
- Author(s)
  Masaya Nakata, Will Browne, Tomoki Hamagami
- Organizer
  Genetic and Evolutionary Computation Conference 2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18123
[Presentation] XCSの学習スキームにおけるルールの完全識別条件2018
- Author(s)
  中田雅也,Will N. Browne
- Organizer
  進化計算シンポジウム2018
- Data Source
  KAKENHI-PROJECT-18K18123
[Presentation] 領域予測を用いた局所探索による多目的最適化のための遺伝的アルゴリズム2018
- Author(s)
  栗原佳祐,中田雅也,濱上知樹
- Organizer
  第28回インテリジェント・システム・シンポジウム
- Data Source
  KAKENHI-PROJECT-18K18123

1. 白川真一 (90633272)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

NAKATA Masaya 中田 雅也

Nakata Masaya 中田 雅也

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工学設計に変革をもたらす超低コスト高次元多目的最適化の開拓Principal Investigator

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Explainable Evolutionary ComputationPrincipal Investigator

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Self-generation of Optimization criteria on Evolutionary Computation for Computationally-expensive optimization problemsPrincipal Investigator

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[Journal Article] Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems2024

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[Journal Article] Hybrid Surrogate-Assisted Particle Swarm Optimization Based on Approximation and Classification Models2021

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[Presentation] 代理モデル多目的進化計算における内部世代数に対する性能分析2023

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NAKATA Masaya 中田雅也

Nakata Masaya 中田雅也