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Hisao Ishibuchi

Southern University of Science and Technology, Shenzhen, China

23 papers at tracked venues · 1 at CORE A* · active 2024–2026

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Venues

GECCO ×12PPSN ×8IJCAI ×2AAAI ×1

Frequent coauthors

Lie Meng Pang
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Hiroki Shiraishi
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Kenneth Zhang
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Cheng Gong
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Jinglin Wang
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Yanyu Chen
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Yiping Liu
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Yang Nan
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Zhiji Cui
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Rongguang Ye
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Tianye Shu
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Papers

  1. Are NSGA-III Implementations Really Stable? A Cross-Platform Analysis of Anomalous Behaviors of NSGA-III
    GECCO 2026 ·
    Kenneth Zhang
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  2. Fair Performance Comparison of Evolutionary Multi-Objective Algorithms
    GECCO 2026 ·
    Lie Meng Pang
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  3. Performance Indicators for Anytime Performance Analysis of Multi-objective Evolutionary Algorithms
    PPSN 2026 ·
    Lie Meng Pang
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  4. Toward a Better NSGA-III: Addressing Consistency, Stability, and Uniformity
    PPSN 2026 ·
    Kenneth Zhang
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  5. Weight Vector Specification in MOEA/D to Find Balanced and Promising Solutions for Multi-Criteria Decision Making
    GECCO 2026 ·
    Lie Meng Pang
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  6. Evidential Fuzzy Rule-Based Machine Learning to Quantify Classification Uncertainty
    GECCO 2025 ·
    Hiroki Shiraishi
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  7. Evolutionary Co-Optimization of Rule Shape and Fuzziness in Rule-Based Machine Learning
    GECCO 2025 ·
    Hiroki Shiraishi
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  8. Fair Performance Comparison of Evolutionary Multi-Objective Algorithms
    GECCO 2025 · Hisao Ishibuchi
  9. Impact of Reformulation for the Real-World Constrained Multi-Objective Problems on the Performance of Evolutionary Algorithms
    GECCO 2025 ·
    Jinglin Wang
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  10. Influence of Subpopulation on the Performance of Coevolutionary Algorithms for Constrained Multiobjective Optimization Problems
    GECCO 2025 ·
    Yanyu Chen
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  11. Multi-Objective Molecular Design Through Learning Latent Pareto Set
    AAAI 2025 ·
    Yiping Liu
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  12. Performance Comparison between Evolutionary Algorithms and Linear Programming-based Relaxation Methods for Multi-Objective Knapsack Problems
    GECCO 2025 ·
    Cheng Gong
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  13. R2 Indicator Analysis using the Optimal Distributions of Solutions for R2 and Other Indicators
    GECCO 2025 ·
    Yang Nan
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  14. Search Behavior Analysis of NSGA-III: Dominance-based and Decomposition-based Multi-objective Evolutionary Algorithm
    GECCO 2025 · Hisao Ishibuchi
  15. When to Truncate the Archive? On the Effect of the Truncation Frequency in Multi-Objective Optimisation
    GECCO 2025 ·
    Zhiji Cui
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  16. X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning
    IJCAI 2025 ·
    Hiroki Shiraishi
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  17. A Variable-Length Fuzzy Set Representation for Learning Fuzzy-Classifier Systems
    PPSN 2024 ·
    Hiroki Shiraishi
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  18. An Unbounded Archive-Based Inverse Model in Evolutionary Multi-objective Optimization
    PPSN 2024 ·
    Rongguang Ye
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  19. Hypervolume Gradient Subspace Approximation
    PPSN 2024 ·
    Kenneth Zhang
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  20. LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset Selection
    PPSN 2024 ·
    Cheng Gong
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  21. Learning Pareto Set for Multi-Objective Continuous Robot Control
    IJCAI 2024 ·
    Tianye Shu
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  22. Reliability of Indicator-Based Comparison Results of Evolutionary Multi-objective Algorithms
    PPSN 2024 ·
    Lie Meng Pang
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  23. Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithms
    PPSN 2024 ·
    Cheng Gong
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