World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
94
Citations
37762
World Ranking
482
National Ranking
66

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2019 - Fuzzy Systems Pioneer Award, IEEE Computational Intelligence Society
  • 2014 - IEEE Fellow For contributions to evolutionary multiobjective optimization and fuzzy rule-based classifier design

Overview

Hisao Ishibuchi is affiliated with Southern University of Science and Technology in China. Their research focuses primarily on the field of Computer Science, with particular engagement in Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Control and Systems Engineering, and Computer Vision and Pattern Recognition.

The scientist's research topics include:

  • Advanced Multi-Objective Optimization Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Evolutionary Algorithms and Applications
  • Probabilistic and Robust Engineering Design
  • Optimal Experimental Design Methods
  • Fuzzy Logic and Control Systems
  • Advanced Control Systems Optimization

Hisao Ishibuchi has contributed extensively to several publication venues, with frequent appearances in:

  • IEEE Transactions on Evolutionary Computation
  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • IEEE Access
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion

Among recent papers authored or co-authored by Hisao Ishibuchi are:

  • "A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization," 2020, IEEE Transactions on Evolutionary Computation
  • "An easy-to-use real-world multi-objective optimization problem suite," 2020, Applied Soft Computing
  • "Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization," 2021, IEEE Transactions on Evolutionary Computation
  • "A New Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization," 2020, IEEE Transactions on Evolutionary Computation
  • "A Novel Dual-Stage Dual-Population Evolutionary Algorithm for Constrained Multiobjective Optimization," 2021, IEEE Transactions on Evolutionary Computation

Frequent co-authors in their research include:

  • Ke Shang
  • Lie Meng Pang
  • Yang Nan
  • Yusuke Nojima
  • Naoki Masuyama

Hisao Ishibuchi has contributed to book publications, including a work published by Springer Science+Business Media:

  • Evolutionary Multi-Criterion Optimization, 2021

The scientist has been recognized with awards such as the Fuzzy Systems Pioneer Award from the IEEE Computational Intelligence Society in 2019 and was named an IEEE Fellow in 2014 for contributions to evolutionary multiobjective optimization and fuzzy rule-based classifier design.

Best Publications

  • A multi-objective genetic local search algorithm and its application to flowshop scheduling

    H. Ishibuchi;T. Murata

  • Evolutionary many-objective optimization: A short review

    H. Ishibuchi;N. Tsukamoto;Y. Nojima

  • Multiobjective programming in optimization of the interval objective function

    Hisao Ishibuchi;Hideo Tanaka

  • Selecting fuzzy if-then rules for classification problems using genetic algorithms

    H. Ishibuchi;K. Nozaki;N. Yamamoto;H. Tanaka

  • Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling

    H. Ishibuchi;T. Yoshida;T. Murata

  • Multi-objective genetic algorithm and its applications to flowshop scheduling

    Tadahiko Murata;Hisao Ishibuchi;Hideo Tanaka

  • Evolutionary many-objective optimization

    H. Ishibuchi;N. Tsukamoto;Y. Nojima

  • Distributed representation of fuzzy rules and its application to pattern classification

    Hisao Ishibuchi;Ken Nozaki;Hideo Tanaka

  • Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems

    H. Ishibuchi;T. Nakashima;T. Murata

  • Effect of rule weights in fuzzy rule-based classification systems

    H. Ishibuchi;T. Nakashima

  • Rule weight specification in fuzzy rule-based classification systems

    H. Ishibuchi;T. Yamamoto

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

    Hisao Ishibuchi;Yu Setoguchi;Hiroyuki Masuda;Yusuke Nojima

  • Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining

    Hisao Ishibuchi

  • Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining

    Hisao Ishibuchi;Takashi Yamamoto

  • MOGA: multi-objective genetic algorithms

    T. Murata;H. Ishibuchi

  • Modified Distance Calculation in Generational Distance and Inverted Generational Distance

    Hisao Ishibuchi;Hiroyuki Masuda;Yuki Tanigaki;Yusuke Nojima

  • Genetic algorithms for flowshop scheduling problems

    Tadahiko Murata;Hisao Ishibuchi;Hideo Tanaka

  • Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems

    Hisao Ishibuchi;Tadahiko Murata;I. B. Türkşen

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

    Hisao Ishibuchi;Yusuke Nojima

  • A simple but powerful heuristic method for generating fuzzy rules from numerical data

    Ken Nozaki;Hisao Ishibuchi;Hideo Tanaka

  • Genetic fuzzy systems: evolutionary tuning and learning of fuzzy knowledge bases

    Hisao Ishibuchi

  • YAMAMOTO, RULE WEIGHT SPECIFICATION IN FUZZY RULE-BASED CLASSIFICATION SYSTEMS

    H Ishibuchi;T Yamamoto

Frequent Co-Authors

Yusuke Nojima
Yusuke Nojima Osaka Metropolitan University
Shitong Wang
Shitong Wang Jiangnan University
Gerald Schaefer
Gerald Schaefer Loughborough University
Mitsuo Gen
Mitsuo Gen Tokyo University of Science
Francisco Herrera
Francisco Herrera University of Granada
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University
Fu-Lai Chung
Fu-Lai Chung Hong Kong Polytechnic University
Mengjie Zhang
Mengjie Zhang Victoria University of Wellington
Gary G. Yen
Gary G. Yen Oklahoma State University

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