Personnel Information


Nojima Yusuke

Job Title

Associate Professor


Electrical Engineering and Information Science

Mail Address

E-mail address

Homepage URL

Faculty in charge, etc. 【 display / non-display

  • College of Engineering

  • Graduate School of Engineering, School of Engineering

Research field 【 display / non-display

  • Kansei informatics

Academic Society Affiliations 【 display / non-display



Books 【 display / non-display

  • Springer Handbook of Computational Intelligence, Springer-Verlag Berlin Heidelberg, 2015.05, Multiple Authorship, H. Ishibuchi, Y. Nojima

  • Simulation and Modeling Related to Computational Science and Robotics Technology, IOS Press, 2012.08, Multiple Authorship, Y. Nojima, S. Mihara, and H. Ishibuchi

  • Computational Intelligence: Collaboration, Fusion and Emergence , Springer, 2009.07, Multiple Authorship, Hisao Ishibuchi, Yusuke Nojima

  • Multi-Objective Memetic Algorithms, Springer, 2009.02, Multiple Authorship, Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima

  • Computational Intelligence: A Compendium, Springer, 2008.07, Multiple Authorship, Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima

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Papers 【 display / non-display

  • Comparison of hypervolume, IGD and IGD+ from the viewpoint of optimal distributions of solutions, Proc. of 10th International Conference on Evolutionary Multi-Criterion Optimization, 2019.03, H. Ishibuchi, R. Imada, N. Masuyama, and Y. Nojima

  • A preliminary study of Michigan-style fuzzy genetics-based machine learning for class incremental problems, Proc. of 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, 2018.12, Y. Irie, N. Masuyama, Y. Nojima, and H. Ishibuchi

  • Reference point specification in inverted generational distance for triangular linear Pareto front, IEEE Trans. on Evolutionary Computation, 2018.12, H. Ishibuchi, R. Imada, Y. Setoguchi, and Y. Nojima

  • Multiobjective evolutionary data mining for performance improvement of evolutionary multiobjective optimization, Proc. of 2018 IEEE International Conference on Systems, Man, and Cybernetics, 2018.10, Y. Nojima, Y. Tanigaki, N. Masuyama, and H. Ishibuchi

  • Performance comparison of multiobjective evolutionary algorithms on problems with partially different properties from popular scalable test suites, Proc. of 2018 IEEE International Conference on Systems, Man, and Cybernetics, 2018.10, T. Matsumoto, N. Masuyama, Y. Nojima, and H. Ishibuchi

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Charge of class subject 【 display / non-display

  • Decision Making Theory

  • Advanced Intelligent Information Systems I

  • Computational Intelligence

  • Advanced Computational Intelligence