World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
10928
World Ranking
6749
National Ranking
96

Overview

Yusuke Nojima is affiliated with Osaka Metropolitan University in Japan and has a research focus within the field of Computer Science. Their work prominently covers various subfields including Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, and Management Science and Operations Research.

The scientist's research topics span a range of areas related to optimization and intelligent systems. These include:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Fuzzy Logic and Control Systems
  • Neural Networks and Applications
  • Face and Expression Recognition
  • Text and Document Classification Technologies

Several recent papers illustrate the diversity and focus of their research efforts. Selected publications include:

  • Distributed Flow Shop Scheduling with Sequence-Dependent Setup Times Using an Improved Iterated Greedy Algorithm, 2021, Complex System Modeling and Simulation
  • A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning, 2020, Applied Intelligence
  • A Multi-Population Multi-Objective Evolutionary Algorithm Based on the Contribution of Decision Variables to Objectives for Large-Scale Multi/Many-Objective Optimization, 2022, IEEE Transactions on Cybernetics
  • Realizing Deep High-Order TSK Fuzzy Classifier by Ensembling Interpretable Zero-Order TSK Fuzzy Subclassifiers, 2020, IEEE Transactions on Fuzzy Systems
  • A Fully Interpretable First-Order TSK Fuzzy System and Its Training With Negative Entropic and Rule-Stability-Based Regularization, 2022, IEEE Transactions on Fuzzy Systems

Their collaborative work includes frequent co-authors such as Naoki Masuyama, Hisao Ishibuchi, Shitong Wang, Yiping Liu, and Ying Xu.

Yusuke Nojima has published multiple studies in key venues, with notable repeat appearances in:

  • Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
  • arXiv (Cornell University)
  • IEEE Transactions on Fuzzy Systems
  • IEEE Access
  • Complex System Modeling and Simulation

Best Publications

  • Evolutionary many-objective optimization: A short review

    H. Ishibuchi;N. Tsukamoto;Y. Nojima

  • Evolutionary many-objective optimization

    H. Ishibuchi;N. Tsukamoto;Y. Nojima

  • Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes

    Hisao Ishibuchi;Yu Setoguchi;Hiroyuki Masuda;Yusuke Nojima

  • Modified Distance Calculation in Generational Distance and Inverted Generational Distance

    Hisao Ishibuchi;Hiroyuki Masuda;Yuki Tanigaki;Yusuke Nojima

  • Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning

    Hisao Ishibuchi;Yusuke Nojima

  • A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions

    M. Fazzolari;R. Alcala;Y. Nojima;H. Ishibuchi

  • A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation

    Heiner Zille;Hisao Ishibuchi;Sanaz Mostaghim;Yusuke Nojima

  • Behavior of Multiobjective Evolutionary Algorithms on Many-Objective Knapsack Problems

    Hisao Ishibuchi;Naoya Akedo;Yusuke Nojima

  • How to Specify a Reference Point in Hypervolume Calculation for Fair Performance Comparison

    Hisao Ishibuchi;Ryo Imada;Yu Setoguchi;Yusuke Nojima

  • Evolutionary many-objective optimization by NSGA-II and MOEA/D with large populations

    Hisao Ishibuchi;Yuji Sakane;Noritaka Tsukamoto;Yusuke Nojima

  • Performance comparison of NSGA-II and NSGA-III on various many-objective test problems

    Hisao Ishibuchi;Ryo Imada;Yu Setoguchi;Yusuke Nojima

  • Simultaneous use of different scalarizing functions in MOEA/D

    Hisao Ishibuchi;Yuji Sakane;Noritaka Tsukamoto;Yusuke Nojima

  • Adaptation of Scalarizing Functions in MOEA/D: An Adaptive Scalarizing Function-Based Multiobjective Evolutionary Algorithm

    Hisao Ishibuchi;Yuji Sakane;Noritaka Tsukamoto;Yusuke Nojima

  • Reference Point Specification in Inverted Generational Distance for Triangular Linear Pareto Front

    Hisao Ishibuchi;Ryo Imada;Yu Setoguchi;Yusuke Nojima

  • Many-objective test problems to visually examine the behavior of multiobjective evolution in a decision space

    Hisao Ishibuchi;Yasuhiro Hitotsuyanagi;Noritaka Tsukamoto;Yusuke Nojima

  • Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multimodal Multiobjective Optimization

    Yiping Liu;Hisao Ishibuchi;Gary G. Yen;Yusuke Nojima

  • Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto Fronts

    Yiping Liu;Hisao Ishibuchi;Naoki Masuyama;Yusuke Nojima

  • Distributed Flow Shop Scheduling with Sequence-Dependent Setup Times Using an Improved Iterated Greedy Algorithm

    Xue Han;Yuyan Han;Qingda Chen;Junqing Li

  • Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions

    Rafael Alcalá;Yusuke Nojima;Francisco Herrera;Hisao Ishibuchi

  • Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems

    Hisao Ishibuchi;Noritaka Tsukamoto;Yasuhiro Hitotsuyanagi;Yusuke Nojima

  • Comparison between Single-Objective and Multi-Objective Genetic Algorithms: Performance Comparison and Performance Measures

    H. Ishibuchi;Y. Nojima;Tsutomu Doi

  • Behavior of Evolutionary Many-Objective Optimization

    Hisao Ishibuchi;Noritaka Tsukamoto;Yusuke Nojima

Frequent Co-Authors

Hisao Ishibuchi
Hisao Ishibuchi Southern University of Science and Technology
Francisco Herrera
Francisco Herrera University of Granada
Toshio Fukuda
Toshio Fukuda Nagoya University
Shitong Wang
Shitong Wang Jiangnan University
Gary G. Yen
Gary G. Yen Oklahoma State University
Oscar Cordón
Oscar Cordón University of Granada
Michio Sugeno
Michio Sugeno Tokyo Institute of Technology
Tzung-Pei Hong
Tzung-Pei Hong National University of Kaohsiung
Frank Hoffmann
Frank Hoffmann TU Dortmund University
Salvador García
Salvador García University of Granada

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