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A Multi-Population Multi-Objective Evolutionary Algorithm Based on the Contribution of Decision Variables to Objectives for Large-Scale Multi/Many-Objective Optimization.

Y. Xu, C. Xu, H. Zhang, L. Huang, Y. Liu, Y. Nojima, and X. Zeng. IEEE Trans. Cybern., 53 (11): 6998-7007 (November 2023)

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Yusuke Sugihara

Kunio Nojima

Yutaka Nojima

Yusuke Ohta

Yusuke Asai

Other publications of authors with the same name

AI-Fuzzy Markup Language with Computational Intelligence for High-School Student Learning.C. Lee, M. Wang, Y. Nojima, M. Reformat, and L. Guo. CoRR, (2021)Design of Linguistically Interpretable Fuzzy Rule-Based Classifiers: A Short Review and Open Questions.H. Ishibuchi, Y. Kaisho, and Y. Nojima. J. Multiple Valued Log. Soft Comput., 17 (2-3): 101-134 (2011)A Novel Classification Method From the Perspective of Fuzzy Social Networks Based on Physical and Implicit Style Features of Data.S. Gu, Y. Nojima, H. Ishibuchi, and S. Wang. IEEE Trans. Fuzzy Syst., 28 (2): 361-375 (2020)Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multimodal Multiobjective Optimization.Y. Liu, H. Ishibuchi, G. Yen, Y. Nojima, and N. Masuyama. IEEE Trans. Evol. Comput., 24 (3): 551-565 (2020)Fuzzy Ensemble Design through Multi-Objective Fuzzy Rule Selection.H. Ishibuchi, and Y. Nojima. Multi-Objective Machine Learning, volume 16 of Studies in Computational Intelligence, Springer, (2006)An adaptive convergence enhanced evolutionary algorithm for many-objective optimization problems.Y. Xu, H. Zhang, X. Zeng, and Y. Nojima. Swarm Evol. Comput., (2022)Fuzzy Style K-Plane Clustering.S. Gu, Y. Nojima, H. Ishibuchi, and S. Wang. IEEE Trans. Fuzzy Syst., 29 (6): 1518-1532 (2021)Analytical Methods to Separately Evaluate Convergence and Diversity for Multi-objective Optimization.T. Kinoshita, N. Masuyama, Y. Nojima, and H. Ishibuchi. MIC, volume 13838 of Lecture Notes in Computer Science, page 172-186. Springer, (2022)Designing Fuzzy Ensemble Classifiers by Evolutionary Multiobjective Optimization with an Entropy-Based Diversity Criterion.Y. Nojima, and H. Ishibuchi. HIS, page 59. IEEE Computer Society, (2006)Ensemble classifier design by parallel distributed implementation of genetic fuzzy rule selection for large data sets.Y. Nojima, S. Mihara, and H. Ishibuchi. IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2010)

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Disambiguation of "Nojima, Yusuke"