Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes von Ishibuchi, Hisao, Setoguchi, Yu, Masuda, Hiroyuki, Nojima, Yusuke

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Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto Fronts von Liu, Yiping, Ishibuchi, Hisao, Masuyama, Naoki, Nojima, Yusuke

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Modified Distance Calculation in Generational Distance and Inverted Generational Distance von Ishibuchi, Hisao, Masuda, Hiroyuki, Tanigaki, Yuki, Nojima, Yusuke

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Behavior of Multiobjective Evolutionary Algorithms on Many-Objective Knapsack Problems von Ishibuchi, Hisao, Akedo, Naoya, Nojima, Yusuke

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Pareto Fronts of Many-Objective Degenerate Test Problems von Ishibuchi, Hisao, Masuda, Hiroyuki, Nojima, Yusuke

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A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning von Xu, Ying, Yang, Cuijuan, Peng, Shaoliang, Nojima, Yusuke

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A Double-Niched Evolutionary Algorithm and Its Behavior on Polygon-Based Problems von Liu, Yiping, Ishibuchi, Hisao, Nojima, Yusuke, Masuyama, Naoki, Shang, Ke

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On the effect of normalization in MOEA/D for multi-objective and many-objective optimization von Ishibuchi, Hisao, Doi, Ken, Nojima, Yusuke

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Comparison of Hypervolume, IGD and IGD+ from the Viewpoint of Optimal Distributions of Solutions von Ishibuchi, Hisao, Imada, Ryo, Masuyama, Naoki, Nojima, Yusuke

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Evolutionary many-objective optimization: A short review von Ishibuchi, H., Tsukamoto, N., Nojima, Y.

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GPR56 C‐terminal fragment mediates signal received by N‐terminal fragment of another adhesion GPCR Latrophilin1 in neurons von Nojima, Yusuke, Toriyama, Manami, Tago, Kenji, Mizuno, Norikazu, Morishita, Kazuhiro, Itoh, Hiroshi

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Repeated double cross-validation for choosing a single solution in evolutionary multi-objective fuzzy classifier design von Ishibuchi, Hisao, Nojima, Yusuke

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Class-Wise Classifier Design Capable of Continual Learning Using Adaptive Resonance Theory-Based Topological Clustering von Masuyama, Naoki, Nojima, Yusuke, Dawood, Farhan, Liu, Zongying

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Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning von Masuyama, Naoki, Amako, Narito, Yamada, Yuna, Nojima, Yusuke, Ishibuchi, Hisao

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Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-Based Clustering for Many-Objective Optimization von Kinoshita, Takato, Masuyama, Naoki, Liu, Yiping, Nojima, Yusuke, Ishibuchi, Hisao

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Effect of HER2‐targeted therapy on PDX and PDX‐derived organoids generated from HER2‐positive salivary duct carcinoma von Aoyama, Jun, Nojima, Yusuke, Sano, Daisuke, Hirai, Yuri, Kijima, Natsumi, Aizawa, Yoshihiro, Takada, Kentaro, Hatano, Takashi, Takahashi, Hideaki, Nishimura, Goshi, Oridate, Nobuhiko

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Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory von Masuyama, Naoki, Nojima, Yusuke, Toda, Yuichiro, Loo, Chu Kiong, Ishibuchi, Hisao, Kubota, Naoyuki

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Establishment of experimental salivary gland cancer models using organoid culture and patient-derived xenografting von Aizawa, Yoshihiro, Takada, Kentaro, Aoyama, Jun, Sano, Daisuke, Yamanaka, Shoji, Seki, Masahide, Kuze, Yuta, Ramilowski, Jordan A., Okuda, Ryo, Ueno, Yasuharu, Nojima, Yusuke, Inayama, Yoshiaki, Hatakeyama, Hiromitsu, Hatano, Takashi, Takahashi, Hideaki, Nishimura, Goshi, Fujii, Satoshi, Suzuki, Yutaka, Taniguchi, Hideki, Oridate, Nobuhiko

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An empirical study on similarity-based mating for evolutionary multiobjective combinatorial optimization von Ishibuchi, Hisao, Narukawa, Kaname, Tsukamoto, Noritaka, Nojima, Yusuke

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Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning von Masuyama, Naoki, Loo, Chu Kiong, Ishibuchi, Hisao, Kubota, Naoyuki, Nojima, Yusuke, Liu, Yiping

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