NAKATA Masaya

Affiliation

Faculty of Engineering, Division of Intelligent Systems Engineering

Job Title

Associate Professor

Research Fields, Keywords

Evolutionary Computation, Evolutionary Machine Learning

Web Site

http://www.nkt.ynu.ac.jp/en/

Related SDGs



The Best Research Achievement in Research Career 【 display / non-display

  • 【Published Thesis】 Learning Optimality Theory for Accuracy-based Learning Classifier Systems  2021.02

Graduating School 【 display / non-display

  • 2009.04
    -
    2011.03

    The University of Electro-Communications   Faculty of Electro Communications   Department of Human Communication   Graduated

Graduate School 【 display / non-display

  • 2013.04
    -
    2015.09

    The University of Electro-Communications  Graduate School of Informatics and Engineering  Department of Informatics  Doctor Course  Completed

  • 2011.04
    -
    2013.03

    The University of Electro-Communications  Graduate School of Informatics and Engineering  Department of Informatics  Master Course  Completed

Degree 【 display / non-display

  • Doctor of Engineering -  The University of Electro-Communications

  • Master of Engineering -  The University of Electro-Communications

Campus Career 【 display / non-display

  • 2019.04
    -
    Now

    Duty   Yokohama National UniversityFaculty of Engineering   Division of Intelligent Systems Engineering   Associate Professor  

  • 2016.04
    -
    2019.03

    Duty   Yokohama National UniversityFaculty of Engineering   Division of Intelligent Systems Engineering   Assistant Professor  

  • 2019.04
    -
    Now

    Concurrently   Yokohama National UniversityGraduate school of Engineering Science   Department of Mathematics, Physics, Electrical Engineering and Computer Science   Associate Professor  

  • 2019.04
    -
    Now

    Concurrently   Yokohama National UniversityGraduate School of Engineering   Department o Physics, Electrical and Computer Engineering   Associate Professor  

  • 2019.04
    -
    Now

    Concurrently   Yokohama National UniversityCollege of Engineering Science   Department of Mathematics, Physics, Electrical Engineering and Computer Science   Associate Professor  

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External Career 【 display / non-display

  • 2015.10
    -
    2016.03

    Japan Society for the Promotion of Science   The University of Electro-Communications   Research Fellowship for Young Scientists of the Japan Society for the Promotion of Science  

  • 2013.04
    -
    2015.09

    Japan Society for the Promotion of Science   The University of Electro-Communications   Research Fellowship for Young Scientists of the Japan Society for the Promotion of Science  

Field of expertise (Grants-in-aid for Scientific Research classification) 【 display / non-display

  • Soft computing

  • Intelligent informatics

 

Research Career 【 display / non-display

  • Evolutionary Rule-based Machine Learning: Theory and Algorithm

    Project Year: 2016.04  -   

Thesis for a degree 【 display / non-display

  • Learning Classifier System Design based on Learning Strategy

    Masaya Nakata 

    PhD Thesis, The University of Electro-Communications    2016.09

    Doctoral Thesis   Single Work

Papers 【 display / non-display

  • Particle swarm optimization of silicon photonic crystal waveguide transition

    Ryo Shiratori, Masaya Nakata, Kosuke Hayashi, Toshihiko Baba

    Optics Letters ( OSA )  46 ( 8 )   1904 - 1907   2021.04  [Refereed]

    Joint Work

    DOI

  • Learning Optimality Theory for Accuracy-based Learning Classifier Systems

    Masaya Nakata, Will N. Browne

    IEEE Transactions on Evolutionary Computation   25 ( 1 )   61 - 74   2021.02  [Refereed]

    Joint Work

    DOI

  • Competitive-Adaptive Algorithm-Tuning of Metaheuristics inspired by the Equilibrium Theory: A Case Study

    Kei Nishihara, Masaya Nakata

    2020 IEEE Congress on Evolutionary Computation (CEC) ( IEEE )    2020.07  [Refereed]

    Single Work

    DOI

  • MOEA/D-S3: MOEA/D using SVM-based Surrogates adjusted to Subproblems for Many objective optimization

    Takumi Sonoda, Masaya Nakata

    2020 IEEE Congress on Evolutionary Computation (CEC) ( IEEE )    2020.07  [Refereed]

    Joint Work

    DOI

  • An overview of LCS research from IWLCS 2019 to 2020

    David Pätzel, Anthony Stein, Masaya Nakata

    Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion ( ACM )    1782 - 1788   2020.07  [Refereed]

    Joint Work

    DOI

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Academic Awards Received 【 display / non-display

  • IEEE CIS Japan Chapter Young Researcher Award

    2012.12.16   IEEE Computational Intelligence Society Japan Chapter  

    Winner: Masaya Nakata

Grant-in-Aid for Scientific Research 【 display / non-display

  • Grant-in-Aid for Scientific Research(B)

    Project Year: 2020.04  -  2025.03 

  • Grant-in-Aid for Early-Career Scientists

    Project Year: 2018.04  -  2020.03 

Presentations 【 display / non-display

  • Design informatics and its drive:Toward clarifying unsteady physical phenomena

    CHIBA Kazuhisa, ITO Takeshi, WATANABE Shinya, NAKATA Masaya, UMEDA Yuhei, HAMADA Naoki, YASUE Kanako, SUZUKI Koji, KUCHI-ISHI Shigeru, NAKAKITA Kazuyuki

    The Proceedings of Mechanical Engineering Congress, Japan  2017   The Japan Society of Mechanical Engineers

     View Summary

    <p>The transonic buffet degrades the aerodynamic performance of the aircraft during cruise. It is a phenomenon that should be avoided absolutely as it may lead to accidents. However, the mechanism of occurrence has yet to be elucidated. To understand this phenomenon, large-scale unsteady data is accumulated using computational fluid dynamics. In contrast, data mining of time series data such as unsteady data is a topic of the future in that field. In this study, we attempted mining unsteady data with capacity exceeding Tera's order. As a result, the behavior of the physical quantity is suggested to be different from the data just before the transonic buffet occurs. Based on this result, we visualized the data over time, and found that the characteristic change of the viscosity distribution of the wing surface can be seen. This should be a clue to elucidate this phenomenon.</p>

    DOI CiNii