Yusuke Nojima - RankMe

297 papers A* 1A 26B 76C 10Misc 2Journal 81Unranked 93

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A parameter-free adaptive resonance theory-based topological clustering algorithm capable of continual learning. Neural Comput. Appl. Naoki Masuyama, Takanori Takebayashi, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi, Stefan Wermter
2026	J	`jnl`	Fairness via Fuzzy Systems: Analysis of Accuracy-Fairness Tradeoff by Multiobjective Fuzzy Genetics-Based Machine Learning. IEEE Trans. Fuzzy Syst. Takeru Konishi, Naoki Masuyama, Jorge Casillas, Yusuke Nojima
2026	J	`jnl`	Two-level automatic software optimization using cooperative co-evolutionary algorithms. Appl. Soft Comput. José Miguel Aragón-Jurado, Juan Carlos de la Torre, Yusuke Nojima, Patricia Ruiz, Bernabé Dorronsoro
2025	B	`conf`	A Clustering-based Sample Selection Method for Improving Replay Buffer Quality in Continual Self-Supervised Learning. IJCNN Naoki Masuyama, Ryosuke Fujii, Takato Kinoshita, Yusuke Nojima
2025	J	`jnl`	A calibrated fully interpretable fuzzy classifier via Vapnik-Chervonenkis-dimension minimization learning. Inf. Sci. Yuchen Li, Fu-Lai Chung, Yusuke Nojima, Shitong Wang
2025	J	`jnl`	An Adaptive Resonance Theory-based Topological Clustering Algorithm with a Self-Adjusting Vigilance Parameter. CoRR Naoki Masuyama, Yuichiro Toda, Yusuke Nojima, Hisao Ishibuchi
2025	J	`jnl`	Fully Interpretable Gaussian Centralized TSK Fuzzy Classifier From Probabilistic Perspective: Concepts, Output-Stability-Based Learning, and Ensemble. IEEE Trans. Fuzzy Syst. Yuchen Li, Fu-Lai Chung, Yusuke Nojima, Shitong Wang
2025	—	`conf`	LIMES: Learning from Imbalanced Data via Multiform Multi-Objective Feature Selection. GECCO Companion Ruwang Jiao, Tao Peng, Naoki Masuyama, Yusuke Nojima
2025	—	`conf`	MEFC: MAP-Elites-based Fuzzy Classifier Design. FUZZ Takeru Konishi, Naoki Masuyama, Yusuke Nojima
2024	—	`conf`	A Decomposition-based Constrained Multi-objective Evolutionary Algorithm with Adaptive Weight Adjustment. SCIS/ISIS Yuki Azuma, Naoki Masuyama, Yusuke Nojima
2024	B	`conf`	A Federated Data-driven Multiobjective Evolutionary Algorithm via Continual Learnable Clustering. CEC Takato Kinoshita, Naoki Masuyama, Yusuke Nojima
2024	B	`conf`	A Growing Hierarchical Clustering Algorithm via Parameter-free Adaptive Resonance Theory. IJCNN Kazuki Tashiro, Naoki Masuyama, Yusuke Nojima
2024	Misc	`conf`	Clustering-Based Automatic Codeword Lengths Determination in Self-Supervised Learning. ICMLC Takanori Takebayashi, Naoki Masuyama, Yusuke Nojima
2024	—	`conf`	Constrained Multi-Modal Multi-Objective Evolutionary Algorithm with Problem Transformation into Two-Objective Subproblems. SCIS/ISIS Teruhiko Tokusaka, Naoki Masuyama, Yusuke Nojima
2024	—	`conf`	Enhancing Machine Learning Interpretability Through a Graphical User Interface. SCIS/ISIS Alexandre K. Tabouret, Eric Michael Vernon, Naoki Masuyama, Yusuke Nojima
2024	—	`conf`	Fairness-aware Classifier Design via Multi-objective Fuzzy Genetics-based Machine Learning. FUZZ Takeru Konishi, Naoki Masuyama, Jorge Casillas, Yusuke Nojima
2024	—	`conf`	Hierarchical Fuzzy Classifier Design Using a Reject Option. FUZZ Rowan Fuerst, Naoki Masuyama, Yusuke Nojima
2024	—	`conf`	Importance of Temporal Information in Fish Habitat Assessment Using Multiobjective Fuzzy Genetics-Based Machine Learning. iFUZZY Yusuke Nojima, Shion Takasaki, Shinji Fukuda, Naoki Masuyama
2024	J	`jnl`	Integrating White and Black Box Techniques for Interpretable Machine Learning. CoRR Eric Michael Vernon, Naoki Masuyama, Yusuke Nojima
2024	J	`jnl`	Internally and Generatively Decorrelated Ensemble of First-Order Takagi-Sugeno-Kang Fuzzy Regressors With Quintuply Diversity Guarantee. IEEE Trans. Fuzzy Syst. Erhao Zhou, Chi-Man Vong, Yusuke Nojima, Shitong Wang
2024	J	`jnl`	Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory. IEEE Access Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota
2024	—	`conf`	Quantum Computational Intelligence with Generative AI Image for Human-Machine Interaction. FUZZ Chang-Shing Lee, Mei-Hui Wang, Jun-Kui Chiang, Naoyuki Kubota, Eri Sato-Shimokawara, Yusuke Nojima, Giovanni Acampora, Pei-Yu Wu, Szu-Chi Chiu, Sheng-Chi Yang, Chyan Zheng Siow
2023	—	`conf`	A Decomposition-based Multi-modal Multi-objective Evolutionary Algorithm with Problem Transformation into Two-objective Subproblems. GECCO Companion Yusuke Nojima, Yuto Fujii, Naoki Masuyama, Yiping Liu, Hisao Ishibuchi
2023	J	`jnl`	A Fully Interpretable First-Order TSK Fuzzy System and Its Training With Negative Entropic and Rule-Stability-Based Regularization. IEEE Trans. Fuzzy Syst. Erhao Zhou, Chi-Man Vong, Yusuke Nojima, Shitong Wang
2023	J	`jnl`	A Multi-Population Multi-Objective Evolutionary Algorithm Based on the Contribution of Decision Variables to Objectives for Large-Scale Multi/Many-Objective Optimization. IEEE Trans. Cybern. Ying Xu, Chong Xu, Huan Zhang, Lei Huang, Yiping Liu, Yusuke Nojima, Xiangxiang Zeng
2023	J	`jnl`	A Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual Learning. CoRR Naoki Masuyama, Takanori Takebayashi, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi, Stefan Wermter
2023	J	`jnl`	A Pareto Front grid guided multi-objective evolutionary algorithm. Appl. Soft Comput. Ying Xu, Huan Zhang, Lei Huang, Rong Qu, Yusuke Nojima
2023	—	`conf`	Fuzzy Classifiers with a Two-Stage Reject Option. FUZZ Yusuke Nojima, Koyo Kawano, Hajime Shimahara, Eric Vernon, Naoki Masuyama, Hisao Ishibuchi
2023	J	`jnl`	Hybrid-ensemble-based interpretable TSK fuzzy classifier for imbalanced data. Inf. Fusion Zekang Bian, Jin Zhang, Yusuke Nojima, Fu-Lai Chung, Shitong Wang
2023	—	`ch.`	Identifying Properties of Real-World Optimisation Problems Through a Questionnaire. Many-Criteria Optimization and Decision Analysis Koen van der Blom, Timo M. Deist, Vanessa Volz, Mariapia Marchi, Yusuke Nojima, Boris Naujoks, Akira Oyama, Tea Tusar
2023	J	`jnl`	Intelligent Optimization Under Multiple Factories: Hybrid Flow Shop Scheduling Problem with Blocking Constraints Using an Advanced Iterated Greedy Algorithm. Complex Syst. Model. Simul. Yong Wang, Yuting Wang, Yuyan Han, Junqing Li, Kaizhou Gao, Yusuke Nojima
2023	—	`conf`	Knowledge Graph-Based Genetic Fuzzy Agent for Human Intelligence and Machine Co-Learning. FUZZ Chang-Shing Lee, Mei-Hui Wang, Chih-Yu Chen, Marek Z. Reformat, Yusuke Nojima, Naoyuki Kubota
2023	J	`jnl`	Multi-Label Classification via Adaptive Resonance Theory-Based Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi
2023	J	`jnl`	Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory. CoRR Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota
2023	J	`jnl`	Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-Based Clustering for Many-Objective Optimization. IEEE Access Takato Kinoshita, Naoki Masuyama, Yiping Liu, Yusuke Nojima, Hisao Ishibuchi
2023	J	`jnl`	System design optimization with mixed subsystems failure dependencies. Reliab. Eng. Syst. Saf. Mohamed Arezki Mellal, Enrico Zio, Sameer Al-Dahidi, Naoki Masuyama, Yusuke Nojima
2022	J	`jnl`	Adaptive Resonance Theory-Based Topological Clustering With a Divisive Hierarchical Structure Capable of Continual Learning. IEEE Access Naoki Masuyama, Narito Amako, Yuna Yamada, Yusuke Nojima, Hisao Ishibuchi
2022	B	`conf`	Adaptive Resonance Theory-based Clustering for Handling Mixed Data. IJCNN Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Zongying Liu
2022	J	`jnl`	Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning. CoRR Naoki Masuyama, Narito Amako, Yuna Yamada, Yusuke Nojima, Hisao Ishibuchi
2022	J	`jnl`	An adaptive convergence enhanced evolutionary algorithm for many-objective optimization problems. Swarm Evol. Comput. Ying Xu, Huan Zhang, Xiangxiang Zeng, Yusuke Nojima
2022	—	`conf`	Analytical Methods to Separately Evaluate Convergence and Diversity for Multi-objective Optimization. MIC Takato Kinoshita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi
2022	—	`conf`	Behavior Analysis of Constrained Multiobjective Evolutionary Algorithms using Scalable Constrained Multi-Modal Distance Minimization Problems. WAC Maaya Yano, Naoki Masuyama, Yusuke Nojima
2022	J	`jnl`	Class-wise Classifier Design Capable of Continual Learning using Adaptive Resonance Theory-based Topological Clustering. CoRR Naoki Masuyama, Itsuki Tsubota, Yusuke Nojima, Hisao Ishibuchi
2022	—	`conf`	Effects of Accuracy-based Single-Objective Optimization in Multiobjective Fuzzy Genetics-based Machine Learning. SCIS/ISIS Takeru Konishi, Naoki Masuyama, Yusuke Nojima
2022	—	`conf`	Error-Reject Tradeoff Analysis on Two-Stage Classifier Design with a Reject Option. WAC Eric Michael Vernon, Naoki Masuyama, Yusuke Nojima
2022	B	`conf`	Evolutionary Multi-Objective Multi-Tasking for Fuzzy Genetics-Based Machine Learning in Multi-Label Classification. FUZZ-IEEE Yuichi Omozaki, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi
2022	J	`jnl`	Fuzzy rule dropout with dynamic compensation for wide learning algorithm of TSK fuzzy classifier. Appl. Soft Comput. Bin Qin, Fulai Chung, Yusuke Nojima, Hisao Ishibuchi, Shitong Wang
2022	J	`jnl`	Prediction by Fuzzy Clustering and KNN on Validation Data With Parallel Ensemble of Interpretable TSK Fuzzy Classifiers. IEEE Trans. Syst. Man Cybern. Syst. Xiongtao Zhang, Yusuke Nojima, Hisao Ishibuchi, Wenjun Hu, Shitong Wang
2022	J	`jnl`	Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-based Clustering for Many-objective Optimization. CoRR Takato Kinoshita, Naoki Masuyama, Yiping Liu, Yusuke Nojima, Hisao Ishibuchi
2022	—	`conf`	Search Process Analysis of Multiobjective Evolutionary Algorithms using Convergence-Diversity Diagram. SCIS/ISIS Takato Kinoshita, Naoki Masuyama, Yusuke Nojima
2021	J	`jnl`	AI-Fuzzy Markup Language with Computational Intelligence for High-School Student Learning. CoRR Chang-Shing Lee, Mei-Hui Wang, Yusuke Nojima, Marek Z. Reformat, Leo Guo
2021	J	`jnl`	Distributed Flow Shop Scheduling with Sequence-Dependent Setup Times Using an Improved Iterated Greedy Algorithm. Complex Syst. Model. Simul. Xue Han, Yuyan Han, Qingda Chen, Junqing Li, Hongyan Sang, Yiping Liu, Quanke Pan, Yusuke Nojima
2021	—	`conf`	Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation. SSCI Victor Villin, Naoki Masuyama, Yusuke Nojima
2021	J	`jnl`	Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation. CoRR Victor Villin, Naoki Masuyama, Yusuke Nojima
2021	J	`jnl`	Fuzzy Style K-Plane Clustering. IEEE Trans. Fuzzy Syst. Suhang Gu, Yusuke Nojima, Hisao Ishibuchi, Shitong Wang
2021	B	`conf`	Multi-Modal Multi-Objective Traveling Salesman Problem and its Evolutionary Optimizer. SMC Yiping Liu, Liting Xu, Yuyan Han, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Gary G. Yen
2021	J	`jnl`	Multi-label Classification via Adaptive Resonance Theory-based Clustering. CoRR Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi
2021	J	`jnl`	Realizing Deep High-Order TSK Fuzzy Classifier by Ensembling Interpretable Zero-Order TSK Fuzzy Subclassifiers. IEEE Trans. Fuzzy Syst. Bin Qin, Yusuke Nojima, Hisao Ishibuchi, Shitong Wang
2020	J	`jnl`	A Novel Classification Method From the Perspective of Fuzzy Social Networks Based on Physical and Implicit Style Features of Data. IEEE Trans. Fuzzy Syst. Suhang Gu, Yusuke Nojima, Hisao Ishibuchi, Shitong Wang
2020	J	`jnl`	A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning. Appl. Intell. Ying Xu, Cuijuan Yang, Shaoliang Peng, Yusuke Nojima
2020	J	`jnl`	Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto Fronts. IEEE Trans. Evol. Comput. Yiping Liu, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima
2020	J	`jnl`	Cluster-Based Membership Function Acquisition Approaches for Mining Fuzzy Temporal Association Rules. IEEE Access Chun-Hao Chen, Hsiang Chou, Tzung-Pei Hong, Yusuke Nojima
2020	A*	`conf`	Divisive Hierarchical Clustering Based on Adaptive Resonance Theory. CcS Yuna Yamada, Naoki Masuyama, Narito Amako, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi
2020	B	`conf`	Effects of Local Mating in Inter-task Crossover on the Performance of Decomposition-based Evolutionary Multiobjective Multitask optimization Algorithms. CEC Ryuichi Hashimoto, Toshiki Urita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi
2020	A	`conf`	Effects of dominance resistant solutions on the performance of evolutionary multi-objective and many-objective algorithms. GECCO Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima
2020	J	`jnl`	Fuzzy sets for decision making in emerging domains. Fuzzy Sets Syst. Irene Díaz, Yusuke Nojima
2020	J	`jnl`	Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. Yiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama
2020	J	`jnl`	Identifying Properties of Real-World Optimisation Problems through a Questionnaire. CoRR Koen van der Blom, Timo M. Deist, Vanessa Volz, Mariapia Marchi, Yusuke Nojima, Boris Naujoks, Akira Oyama, Tea Tusar
2020	A	`conf`	Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms. ECAI Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima
2020	—	`conf`	Multi-label Classification Based on Adaptive Resonance Theory. SSCI Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi
2020	B	`conf`	Multilayer Clustering Based on Adaptive Resonance Theory for Noisy Environments. IJCNN Narito Amako, Naoki Masuyama, Chu Kiong Loo, Yusuke Nojima, Yiping Liu, Hisao Ishibuchi
2020	B	`conf`	Multiobjective Fuzzy Genetics-Based Machine Learning for Multi-Label Classification. FUZZ-IEEE Yuichi Omozaki, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi
2020	B	`conf`	On the Normalization in Evolutionary Multi-Modal Multi-Objective Optimization. CEC Yiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama, Yuyan Han
2020	—	`conf`	Stacked Deep Learning Structure with Bidirectional Long-Short Term Memory for Stock Market Prediction. NCAA Ying Xu, Lymeng Chhim, Bingxin Zheng, Yusuke Nojima
2020	J	`jnl`	Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems. CoRR Koen van der Blom, Timo M. Deist, Tea Tusar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks
2020	—	`conf`	Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems. GECCO Companion Koen van der Blom, Timo M. Deist, Tea Tusar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks
2019	B	`conf`	A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go. CEC Chang-Shing Lee, Mei-Hui Wang, Li-Chuang Chen, Yusuke Nojima, Tzong-Xiang Huang, Jinseok Woo, Naoyuki Kubota, Eri Sato-Shimokawara, Toru Yamaguchi
2019	J	`jnl`	A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go. CoRR Chang-Shing Lee, Mei-Hui Wang, Li-Chuang Chen, Yusuke Nojima, Tzong-Xiang Huang, Jinseok Woo, Naoyuki Kubota, Eri Sato-Shimokawara, Toru Yamaguchi
2019	B	`conf`	A Multiobjective Test Suite with Hexagon Pareto Fronts and Various Feasible Regions. CEC Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi
2019	C	`conf`	Comparison of Hypervolume, IGD and IGD+ from the Viewpoint of Optimal Distributions of Solutions. EMO Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima
2019	A	`conf`	Constrained multiobjective distance minimization problems. GECCO Yusuke Nojima, Takafumi Fukase, Yiping Liu, Naoki Masuyama, Hisao Ishibuchi
2019	—	`conf`	Effect of Solution Information Sharing between Tasks on the Search Ability of Evolutionary Multiobjective Multitasking Algorithms. SSCI Ryuichi Hashimoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi
2019	—	`conf`	Fast Topological Adaptive Resonance Theory Based on Correntropy Induced Metric. SSCI Naoki Masuyama, Narito Amako, Yusuke Nojima, Yiping Liu, Chu Kiong Loo, Hisao Ishibuchi
2019	J	`jnl`	Guest Editorial: Special Issue on New Advances in Deep-Transfer Learning. IEEE Trans. Emerg. Top. Comput. Intell. Zhaohong Deng, Jie Lu, Dongrui Wu, Kup-Sze Choi, Shiliang Sun, Yusuke Nojima
2019	—	`conf`	Optimal Distributions of Solutions for Hypervolume Maximization on Triangular and Inverted Triangular Pareto Fronts of Four-Objective Problems. SSCI Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima
2019	B	`conf`	Searching for Local Pareto Optimal Solutions: A Case Study on Polygon-Based Problems. CEC Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Yuyan Han
2019	J	`jnl`	Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning. IEEE Access Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota, Yusuke Nojima, Yiping Liu
2019	B	`conf`	Two-Layered Weight Vector Specification in Decomposition-Based Multi-Objective Algorithms for Many-Objective Optimization Problems. CEC Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima
2018	—	`conf`	A Double-Niched Evolutionary Algorithm and Its Behavior on Polygon-Based Problems. PPSN (1) Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang
2018	J	`jnl`	A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation. IEEE Trans. Evol. Comput. Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim, Yusuke Nojima
2018	—	`conf`	Analysis of evolutionary multi-tasking as an island model. GECCO (Companion) Ryuichi Hashimoto, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima
2018	A	`conf`	Dual-grid model of MOEA/D for evolutionary constrained multiobjective optimization. GECCO Hisao Ishibuchi, Takefumi Fukase, Naoki Masuyama, Yusuke Nojima
2018	B	`conf`	Dynamic Specification of a Reference Point for Hypervolume Calculation in SMS-EMOA. CEC Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima
2018	J	`jnl`	How to Specify a Reference Point in Hypervolume Calculation for Fair Performance Comparison. Evol. Comput. Hisao Ishibuchi, Ryo Imada, Yu Setoguchi, Yusuke Nojima
2018	—	`conf`	Improving 1by1EA to Handle Various Shapes of Pareto Fronts. PPSN (1) Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang
2018	B	`conf`	Multiobjective Evolutionary Data Mining for Performance Improvement of Evolutionary Multiobjective Optimization. SMC Naoki Masuyama, Yuki Tanigaki, Yusuke Nojima, Hisao Ishibuchi
2018	B	`conf`	Performance Comparison of Multiobjective Evolutionary Algorithms on Problems with Partially Different Properties from Popular Test Suites. SMC Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi
2018	J	`jnl`	Reference Point Specification in Inverted Generational Distance for Triangular Linear Pareto Front. IEEE Trans. Evol. Comput. Hisao Ishibuchi, Ryo Imada, Yu Setoguchi, Yusuke Nojima
2018	—	`conf`	Topological Kernel Bayesian ARTMAP. WAC Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Yusuke Nojima, Yiping Lin
2018	—	`conf`	Use of Two Reference Points in Hypervolume-Based Evolutionary Multiobjective Optimization Algorithms. PPSN (1) Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima
2017	J	`jnl`	An efficient and effective approach for mining a group stock portfolio using mapreduce. Intell. Data Anal. Chun-Hao Chen, Chao-Chun Chen, Yusuke Nojima
2017	J	`jnl`	Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification. IEEE Trans. Fuzzy Syst. Jesús Alcalá-Fdez, Rafael Alcalá, Sergio González, Yusuke Nojima, Salvador García
2017	J	`jnl`	FML-based Prediction Agent and Its Application to Game of Go. CoRR Chang-Shing Lee, Mei-Hui Wang, Chia-Hsiu Kao, Sheng-Chi Yang, Yusuke Nojima, Ryosuke Saga, Nan Shuo, Naoyuki Kubota
2017	—	`conf`	FML-based prediction agent and its application to game of Go. IFSA-SCIS Chang-Shing Lee, Chia-Hsiu Kao, Mei-Hui Wang, Sheng-Chi Yang, Yusuke Nojima, Ryosuke Saga, Nan Shuo, Naoyuki Kubota
2017	A	`conf`	Hypervolume Subset Selection for Triangular and Inverted Triangular Pareto Fronts of Three-Objective Problems. FOGA Hisao Ishibuchi, Ryo Imada, Yu Setoguchi, Yusuke Nojima
2017	—	`conf`	Michigan-style fuzzy GBML with (1+1)-ES generation update and multi-pattern rule generation. IFSA-SCIS Yusuke Nojima, Shuji Takemura, Kazuhiro Watanabe, Hisao Ishibuchi
2017	A	`conf`	Multiobjective data mining from solutions by evolutionary multiobjective optimization. GECCO Yusuke Nojima, Yuki Tanigaki, Hisao Ishibuchi
2017	B	`conf`	Multiobjective fuzzy genetics-based machine learning based on MOEA/D with its modifications. FUZZ-IEEE Yusuke Nojima, Koki Arahari, Shuji Takemura, Hisao Ishibuchi
2017	—	`conf`	Performance comparison of EMO algorithms on test problems with different search space shape. IFSA-SCIS Yuki Tanigaki, Yusuke Nojima, Hisao Ishibuchi
2017	J	`jnl`	Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes. IEEE Trans. Evol. Comput. Hisao Ishibuchi, Yu Setoguchi, Hiroyuki Masuda, Yusuke Nojima
2017	A	`conf`	Reference point specification in hypervolume calculation for fair comparison and efficient search. GECCO Hisao Ishibuchi, Ryo Imada, Yu Setoguchi, Yusuke Nojima
2017	J	`jnl`	Special issue on soft computing for big data and social informatics. Soft Comput. Chun-Hao Chen, Chuan-Kang Ting, Yusuke Nojima
2017	—	`conf`	Use of Inverted Triangular Weight Vectors in Decomposition-Based Many-Objective Algorithms. SEAL Ken Doi, Ryo Imada, Yusuke Nojima, Hisao Ishibuchi
2017	B	`conf`	Use of inverted triangular weight vectors in decomposition-based multiobjective algorithms. SMC Hisao Ishibuchi, Ryo Imada, Ken Doi, Yusuke Nojima
2016	B	`conf`	Characteristics of many-objective test problems and penalty parameter specification in MOEA/D. CEC Hisao Ishibuchi, Ken Doi, Yusuke Nojima
2016	B	`conf`	Common properties of scalable multiobjective problems and a new framework of test problems. CEC Hiroyuki Masuda, Yusuke Nojima, Hisao Ishibuchi
2016	—	`conf`	Effects of Different Implementations of a Real Random Number Generator on the Search Behavior of Multiobjective Evolutionary Algorithms. SCIS&ISIS Takahiro Funakoshi, Yusuke Nojima, Hisao Ishibuchi
2016	B	`conf`	Effects of parallel distributed implementation on the search performance of Pittsburgh-style genetics-based machine learning algorithms. CEC Yusuke Nojima, Hisao Ishibuchi
2016	B	`conf`	Further analysis on strange evolution behavior of 7-bit binary string strategies in iterated prisoner's dilemma game. CEC Takahiko Sudo, Kazushi Goto, Yusuke Nojima, Hisao Ishibuchi
2016	B	`conf`	How to compare many-objective algorithms under different settings of population and archive sizes. CEC Hisao Ishibuchi, Yu Setoguchi, Hiroyuki Masuda, Yusuke Nojima
2016	B	`conf`	Meta-optimization based multi-objective test problem generation using WFG toolkit. CEC Yuki Tanigaki, Yusuke Nojima, Hisao Ishibuchi
2016	B	`conf`	Multiobjective fuzzy genetics-based machine learning with a reject option. FUZZ-IEEE Yusuke Nojima, Hisao Ishibuchi
2016	—	`conf`	Mutation operators based on variable grouping for multi-objective large-scale optimization. SSCI Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim, Yusuke Nojima
2016	J	`jnl`	Pareto Fronts of Many-Objective Degenerate Test Problems. IEEE Trans. Evol. Comput. Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima
2016	B	`conf`	Performance comparison of NSGA-II and NSGA-III on various many-objective test problems. CEC Hisao Ishibuchi, Ryo Imada, Yu Setoguchi, Yusuke Nojima
2016	B	`conf`	Reference point specification in MOEA/D for multi-objective and many-objective problems. SMC Hisao Ishibuchi, Ken Doi, Yusuke Nojima
2016	B	`conf`	Sensitivity of performance evaluation results by inverted generational distance to reference points. CEC Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima
2016	A	`conf`	Use of Piecewise Linear and Nonlinear Scalarizing Functions in MOEA/D. PPSN Hisao Ishibuchi, Ken Doi, Yusuke Nojima
2016	—	`conf`	Weighted Optimization Framework for Large-scale Multi-objective Optimization. GECCO (Companion) Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim, Yusuke Nojima
2015	A	`conf`	A Study on Performance Evaluation Ability of a Modified Inverted Generational Distance Indicator. GECCO Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima
2015	B	`conf`	Algorithm structure optimization by choosing operators in multiobjective genetic local search. CEC Yuki Tanigaki, Hiroyuki Masuda, Yu Setoguchi, Yusuke Nojima, Hisao Ishibuchi
2015	—	`conf`	Application of Parallel Distributed Implementation to Multiobjective Fuzzy Genetics-Based Machine Learning. ACIIDS (1) Yusuke Nojima, Yuji Takahashi, Hisao Ishibuchi
2015	J	`jnl`	Behavior of Multiobjective Evolutionary Algorithms on Many-Objective Knapsack Problems. IEEE Trans. Evol. Comput. Hisao Ishibuchi, Naoya Akedo, Yusuke Nojima
2015	B	`conf`	Comparing solution sets of different size in evolutionary many-objective optimization. CEC Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima
2015	B	`conf`	Effects of ensemble action selection with different usage of player's memory resource on the evolution of cooperative strategies for iterated prisoner's dilemma game. CEC Takahiko Sudo, Kazushi Goto, Yusuke Nojima, Hisao Ishibuchi
2015	B	`conf`	Effects of heuristic rule generation from multiple patterns in multiobjective fuzzy genetics-Based machine learning. CEC Yusuke Nojima, Kazuhiro Watanabe, Hisao Ishibuchi
2015	—	`conf`	Genetic fuzzy systems and its application to data mining. TAAI Yusuke Nojima, Chun-Hao Chen
2015	B	`conf`	Handling a training dataset as a black-box model for privacy preserving in fuzzy GBML algorithms. FUZZ-IEEE Hisao Ishibuchi, Yusuke Nojima
2015	—	`conf`	Modified Distance Calculation in Generational Distance and Inverted Generational Distance. EMO (2) Hisao Ishibuchi, Hiroyuki Masuda, Yuki Tanigaki, Yusuke Nojima
2015	—	`ch.`	Multiobjective Genetic Fuzzy Systems. Handbook of Computational Intelligence Hisao Ishibuchi, Yusuke Nojima
2015	—	`conf`	Relation Between Weight Vectors and Solutions in MOEA/D. SSCI Hisao Ishibuchi, Ken Doi, Hiroyuki Masuda, Yusuke Nojima
2015	—	`conf`	Rotation effects of objective functions in parallel distributed multiobjective fuzzy genetics-based machine learning. ASCC Yuji Takahashi, Yusuke Nojima, Hisao Ishibuchi
2015	B	`conf`	Simple modifications on heuristic rule generation and rule evaluation in Michigan-style fuzzy genetics-based machine learning. FUZZ-IEEE Yusuke Nojima, Kazuhiro Watanabe, Hisao Ishibuchi
2015	B	`conf`	Strange evolution behavior of 7-bit binary string strategies in iterated prisoner's dilemma game. CEC Takahiko Sudo, Kazushi Goto, Yusuke Nojima, Hisao Ishibuchi
2015	—	`conf`	Variants of heuristic rule generation from multiple patterns in Michigan-style fuzzy genetics-based machine learning. TAAI Yusuke Nojima, Kazuhiro Watanabe, Hisao Ishibuchi
2014	J	`jnl`	Application of Fuzzy Inference Rules to Early Semi-automatic Estimation of Activity Duration in Software Project Management. IEEE Trans. Hum. Mach. Syst. Chin Hooi Tan, Keem Siah Yap, Hisao Ishibuchi, Yusuke Nojima, Hwa Jen Yap
2014	—	`conf`	Archive Management in Interactive Evolutionary Computation with Minimum Requirement for Human User's Fitness Evaluation Ability. ICAISC (1) Hisao Ishibuchi, Takahiko Sudo, Yusuke Nojima
2014	—	`conf`	Difficulties in specifying reference points to calculate the inverted generational distance for many-objective optimization problems. MCDM Hisao Ishibuchi, Hiroyuki Masuda, Yuki Tanigaki, Yusuke Nojima
2014	A	`conf`	Distance-Based Analysis of Crossover Operators for Many-Objective Knapsack Problems. PPSN Hisao Ishibuchi, Yuki Tanigaki, Hiroyuki Masuda, Yusuke Nojima
2014	B	`conf`	Effects of ensemble action selection on the evolution of iterated prisoner's dilemma game strategies. IEEE Congress on Evolutionary Computation Takahiko Sudo, Yusuke Nojima, Hisao Ishibuchi
2014	—	`conf`	Genetic lateral tuning of membership functions as post-processing for hybrid fuzzy genetics-based machine learning. SCIS&ISIS Yusuke Nojima, Yuji Takahashi, Hisao Ishibuchi
2014	B	`conf`	Hybrid fuzzy genetics-based machine learning with entropy-based inhomogeneous interval discretization. FUZZ-IEEE Yuji Takahashi, Yusuke Nojima, Hisao Ishibuchi
2014	—	`conf`	Meta-level multi-objective formulations of set optimization for multi-objective optimization problems: multi-reference point approach to hypervolume maximization. GECCO (Companion) Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima
2014	—	`conf`	Preference-based NSGA-II for many-objective knapsack problems. SCIS&ISIS Yuki Tanigaki, Kaname Narukawa, Yusuke Nojima, Hisao Ishibuchi
2014	—	`conf`	Review of coevolutionary developments of evolutionary multi-objective and many-objective algorithms and test problems. MCDM Hisao Ishibuchi, Hiroyuki Masuda, Yuki Tanigaki, Yusuke Nojima
2014	B	`conf`	Selecting a small number of non-dominated solutions to be presented to the decision maker. SMC Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima
2014	B	`conf`	Visual examination of the behavior of EMO algorithms for many-objective optimization with many decision variables. IEEE Congress on Evolutionary Computation Hiroyuki Masuda, Yusuke Nojima, Hisao Ishibuchi
2013	J	`jnl`	A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions. IEEE Trans. Fuzzy Syst. Michela Fazzolari, Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi, Francisco Herrera
2013	—	`conf`	A Study on the Specification of a Scalarizing Function in MOEA/D for Many-Objective Knapsack Problems. LION Hisao Ishibuchi, Naoya Akedo, Yusuke Nojima
2013	—	`conf`	Difficulties in choosing a single final classifier from non-dominated solutions in multiobjective fuzzy genetics-based machine learning. IFSA/NAFIPS Hisao Ishibuchi, Yusuke Nojima
2013	C	`conf`	Difficulty in Evolutionary Multiobjective Optimization of Discrete Objective Functions with Different Granularities. EMO Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima
2013	—	`conf`	Effects of duplicated objectives in many-objective optimization problems on the search behavior of hypervolume-based evolutionary algorithms. MCDM Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima
2013	B	`conf`	Effects of the Number of Opponents on the Evolution of Cooperation in the Iterated Prisoner's Dilemma. SMC Hisao Ishibuchi, Takahiko Sudo, Koichiro Hoshino, Yusuke Nojima
2013	—	`conf`	Evolution of cooperative strategies for iterated prisoner's dilemma on networks. CASoN Hisao Ishibuchi, Takahiko Sudo, Koichiro Hoshino, Yusuke Nojima
2013	—	`conf`	High frequency compensated face hallucination with total variation constraint. BMEI Yusuke Nojima, Xian-Hua Han, Kazuki Taniguchi, Yen-Wei Chen
2013	B	`conf`	How to strike a balance between local search and global search in multiobjective memetic algorithms for multiobjective 0/1 knapsack problems. IEEE Congress on Evolutionary Computation Hisao Ishibuchi, Yuki Tanigaki, Naoya Akedo, Yusuke Nojima
2013	—	`conf`	Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities. GEFS Michela Fazzolari, Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi, Francisco Herrera
2013	—	`conf`	Learning from multiple data sets with different missing attributes and privacy policies: Parallel distributed fuzzy genetics-based machine learning approach. IEEE BigData Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima
2013	B	`conf`	Many-objective and many-variable test problems for visual examination of multiobjective search. IEEE Congress on Evolutionary Computation Hisao Ishibuchi, Masakazu Yamane, Naoya Akedo, Yusuke Nojima
2013	—	`conf`	Multiobjective genetic fuzzy rule selection with fuzzy relational rules. GEFS Yusuke Nojima, Hisao Ishibuchi
2013	—	`conf`	Neighborhood Specification for Game Strategy Evolution in a Spatial Iterated Prisoner's Dilemma Game. LION Hisao Ishibuchi, Koichiro Hoshino, Yusuke Nojima
2013	J	`jnl`	Parallel Distributed Hybrid Fuzzy GBML Models With Rule Set Migration and Training Data Rotation. IEEE Trans. Fuzzy Syst. Hisao Ishibuchi, Shingo Mihara, Yusuke Nojima
2013	C	`conf`	Relation between Neighborhood Size and MOEA/D Performance on Many-Objective Problems. EMO Hisao Ishibuchi, Naoya Akedo, Yusuke Nojima
2013	J	`jnl`	Repeated double cross-validation for choosing a single solution in evolutionary multi-objective fuzzy classifier design. Knowl. Based Syst. Hisao Ishibuchi, Yusuke Nojima
2013	B	`conf`	Rule weight update in parallel distributed fuzzy genetics-based machine learning with data rotation. FUZZ-IEEE Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima
2013	J	`jnl`	Special Issue on "Evolutionary Fuzzy Systems" EFSs. Knowl. Based Syst. Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi, Francisco Herrera
2012	B	`conf`	Application of parallel distributed genetics-based machine learning to imbalanced data sets. FUZZ-IEEE Yusuke Nojima, Shingo Mihara, Hisao Ishibuchi
2012	—	`conf`	Comparison of different fitness functions in genetic fuzzy rule selection. SCIS&ISIS Masakazu Yamane, Akihito Ueda, Naoshi Tadokoro, Yusuke Nojima, Hisao Ishibuchi
2012	A	`conf`	Effects of discrete objective functions with different granularities on the search behavior of EMO algorithms. GECCO Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima
2012	—	`conf`	Ensemble Fuzzy Rule-Based Classifier Design by Parallel Distributed Fuzzy GBML Algorithms. SEAL Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima
2012	B	`conf`	Evolution of strategies in a spatial IPD game with a number of different representation schemes. IEEE Congress on Evolutionary Computation Hisao Ishibuchi, Koichiro Hoshino, Yusuke Nojima
2012	—	`conf`	Greedy Approximation Algorithms for Generalized Maximum Flow Problem towards Relation Extraction in Information Networks. TJJCCGG Yusuke Nojima, Yasuhito Asano, Masatoshi Yoshikawa
2012	—	`conf`	Recombination of Similar Parents in SMS-EMOA on Many-Objective 0/1 Knapsack Problems. PPSN (2) Hisao Ishibuchi, Naoya Akedo, Yusuke Nojima
2012	J	`jnl`	Special Issue on Evolutionary Fuzzy Systems. Int. J. Comput. Intell. Syst. Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi, Francisco Herrera
2012	B	`conf`	Strategy evolution in a spatial IPD game where each agent is not allowed to play against itself. IEEE Congress on Evolutionary Computation Hisao Ishibuchi, Koichiro Hoshino, Yusuke Nojima
2012	—	`conf`	Two-objective solution set optimization to maximize hypervolume and decision space diversity in multiobjective optimization. SCIS&ISIS Hisao Ishibuchi, Masakazu Yamane, Naoya Akedo, Yusuke Nojima
2011	A	`conf`	A many-objective test problem for visually examining diversity maintenance behavior in a decision space. GECCO Hisao Ishibuchi, Naoya Akedo, Yusuke Nojima
2011	B	`conf`	A meta-fuzzy classifier for specifying appropriate fuzzy partitions by genetic fuzzy rule selection with data complexity measures. FUZZ-IEEE Yusuke Nojima, Shinya Nishikawa, Hisao Ishibuchi
2011	B	`conf`	Behavior of EMO algorithms on many-objective optimization problems with correlated objectives. IEEE Congress on Evolutionary Computation Hisao Ishibuchi, Naoya Akedo, Hiroyuki Ohyanagi, Yusuke Nojima
2011	J	`jnl`	Design of Linguistically Interpretable Fuzzy Rule-Based Classifiers: A Short Review and Open Questions. J. Multiple Valued Log. Soft Comput. Hisao Ishibuchi, Yutaka Kaisho, Yusuke Nojima
2011	—	`conf`	Double cross-validation for performance evaluation of multi-objective genetic fuzzy systems. GEFS Hisao Ishibuchi, Yusuke Nakashima, Yusuke Nojima
2011	—	`conf`	Effects of configuration of agents with different strategy representations on the evolution of cooperative behavior in a spatial IPD game. CIG Hisao Ishibuchi, Keisuke Takahashi, Kouichirou Hoshino, Junpei Maeda, Yusuke Nojima
2011	C	`conf`	Effects of the Existence of Highly Correlated Objectives on the Behavior of MOEA/D. EMO Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Hiroyuki Ohyanagi, Yusuke Nojima
2011	J	`jnl`	Evolution of Strategies With Different Representation Schemes in a Spatial Iterated Prisoner's Dilemma Game. IEEE Trans. Comput. Intell. AI Games Hisao Ishibuchi, Hiroyuki Ohyanagi, Yusuke Nojima
2011	J	`jnl`	Implementation of cellular genetic algorithms with two neighborhood structures for single-objective and multi-objective optimization. Soft Comput. Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima
2011	—	`conf`	Many-objective test problems with multiple Pareto optimal regions in a decision space. MCDM Hisao Ishibuchi, Naoya Akedo, Hiroyuki Ohyanagi, Yasuhiro Hitotsuyanagi, Yusuke Nojima
2011	—	`conf`	Mobile Robot Controller Design by Evolutionary Multiobjective Optimization in Multiagent Environments. ICIRA (2) Yusuke Nojima, Hisao Ishibuchi
2011	J	`jnl`	Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions. Soft Comput. Rafael Alcalá, Yusuke Nojima, Francisco Herrera, Hisao Ishibuchi
2011	J	`jnl`	Performance evaluation of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning. Soft Comput. Hisao Ishibuchi, Yusuke Nakashima, Yusuke Nojima
2011	J	`jnl`	Special issue on evolutionary fuzzy systems. Soft Comput. Yusuke Nojima, Rafael Alcalá, Hisao Ishibuchi, Francisco Herrera
2011	B	`conf`	Toward quantitative definition of explanation ability of fuzzy rule-based classifiers. FUZZ-IEEE Hisao Ishibuchi, Yusuke Nojima
2011	—	`conf`	Training Data Subdivision and Periodical Rotation in Hybrid Fuzzy Genetics-Based Machine Learning. ICMLA (1) Hisao Ishibuchi, Shingo Mihara, Yusuke Nojima
2010	B	`conf`	Accuracy improvement of genetic fuzzy rule selection with candidate rule addition and membership tuning. FUZZ-IEEE Yusuke Nojima, Yutaka Kaisho, Hisao Ishibuchi
2010	—	`conf`	Appropriate granularity specification for fuzzy classifier design by data complexity measures. NaBIC Shinya Nishikawa, Yusuke Nojima, Hisao Ishibuchi
2010	J	`jnl`	Diversity Improvement by Non-Geometric Binary Crossover in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima
2010	B	`conf`	Effects of fine fuzzy partitions on the generalization ability of evolutionary multi-objective fuzzy rule-based classifiers. FUZZ-IEEE Hisao Ishibuchi, Yusuke Nakashima, Yusuke Nojima
2010	B	`conf`	Ensemble classifier design by parallel distributed implementation of genetic fuzzy rule selection for large data sets. IEEE Congress on Evolutionary Computation Yusuke Nojima, Shingo Mihara, Hisao Ishibuchi
2010	—	`conf`	How to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic Algorithms. PPSN (1) Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yoshihiko Wakamatsu, Yusuke Nojima
2010	A	`conf`	Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions. GECCO Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima
2010	—	`conf`	Many-Objective Test Problems to Visually Examine the Behavior of Multiobjective Evolution in a Decision Space. PPSN (2) Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima
2010	—	`conf`	Multiobjectivization from two objectives to four objectives in evolutionary multi-objective optimization algorithms. NaBIC Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yusuke Nakashima, Yusuke Nojima
2010	—	`conf`	Parallel Distributed Implementation of Genetics-Based Machine Learning for Fuzzy Classifier Design. SEAL Yusuke Nojima, Shingo Mihara, Hisao Ishibuchi
2010	—	`conf`	Simple changes in problem formulations make a difference in multiobjective genetic fuzzy systems. GEFS Hisao Ishibuchi, Yusuke Nakashima, Yusuke Nojima
2010	A	`conf`	Simultaneous use of different scalarizing functions in MOEA/D. GECCO Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima
2010	—	`conf`	Use of very small training data subsets in parallel distributed genetic fuzzy rule selection. GEFS Yusuke Nojima, Hisao Ishibuchi, Shingo Mihara
2009	C	`conf`	Adaptation of Scalarizing Functions in MOEA/D: An Adaptive Scalarizing Function-Based Multiobjective Evolutionary Algorithm. EMO Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima
2009	B	`conf`	Complexity, interpretability and explanation capability of fuzzy rule-based classifiers. FUZZ-IEEE Hisao Ishibuchi, Yutaka Kaisho, Yusuke Nojima
2009	—	`conf`	Discussions on Interpretability of Fuzzy Systems using Simple Examples. IFSA/EUSFLAT Conf. Hisao Ishibuchi, Yusuke Nojima
2009	C	`conf`	Effects of Data Reduction on the Generalization Ability of Parallel Distributed Genetic Fuzzy Rule Selection. ISDA Yusuke Nojima, Hisao Ishibuchi
2009	—	`conf`	Effects of Including Single-Objective Optimal Solutions in an Initial Population on Evolutionary Multiobjective Optimization. SoCPaR Yuki Tsujimoto, Yasuhiro Hitotsuyanagi, Yusuke Nojima, Hisao Ishibuchi
2009	J	`jnl`	Effects of nongeometric binary crossover on multiobjective 0/1 knapsack problems. Artif. Life Robotics Noritaka Tsukamoto, Yusuke Nojima, Hisao Ishibuchi
2009	—	`conf`	Effects of the Use of Multiple Fuzzy Partitions on the Search Ability of Multiobjective Fuzzy Genetics-Based Machine Learning. SoCPaR Yusuke Nojima, Yusuke Nakashima, Hisao Ishibuchi
2009	B	`conf`	Effects of using two neighborhood structures on the performance of cellular evolutionary algorithms for many-objective optimization. IEEE Congress on Evolutionary Computation Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima
2009	—	`conf`	Empirical Analysis of Using Weighted Sum Fitness Functions in NSGA-II for Many-Objective 0/1 Knapsack Problems. UKSim Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima
2009	J	`jnl`	Evolution of cooperative behavior among heterogeneous agents with different strategy representations in an iterated prisoner's dilemma game. Artif. Life Robotics Hiroyuki Ohyanagi, Yoshihiko Wakamatsu, Yusuke Nakashima, Yusuke Nojima, Hisao Ishibuchi
2009	B	`conf`	Evolution of cooperative behavior in a spatial iterated prisoner's dilemma game with different representation schemes of game strategies. FUZZ-IEEE Hisao Ishibuchi, Hiroyuki Ohyanagi, Yusuke Nojima
2009	B	`conf`	Evolutionary Many-Objective Optimization by NSGA-II and MOEA/D with Large Populations. SMC Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima
2009	B	`conf`	Generating single granularity-based fuzzy classification rules for multiobjective genetic fuzzy rule selection. FUZZ-IEEE Rafael Alcalá, Yusuke Nojima, Francisco Herrera, Hisao Ishibuchi
2009	B	`conf`	Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization. IEEE Congress on Evolutionary Computation Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima
2009	J	`jnl`	Incorporation of user preference into multi-objective genetic fuzzy rule selection for pattern classification problems. Artif. Life Robotics Yusuke Nojima, Hisao Ishibuchi
2009	—	`conf`	Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference. IFSA/EUSFLAT Conf. Yusuke Nojima, Hisao Ishibuchi
2009	—	`conf`	Interactive genetic fuzzy rule selection through evolutionary multiobjective optimization with user preference. MCDM Yusuke Nojima, Hisao Ishibuchi
2009	—	`conf`	Multi-objective behavior coordination based on sensory network for multiple mobile robots. RiiSS Yusuke Nojima
2009	J	`jnl`	Parallel distributed genetic fuzzy rule selection. Soft Comput. Yusuke Nojima, Hisao Ishibuchi, Isao Kuwajima
2009	B	`conf`	Search ability of evolutionary multiobjective optimization algorithms for multiobjective fuzzy genetics-based machine learning. FUZZ-IEEE Hisao Ishibuchi, Yusuke Nakashima, Yusuke Nojima
2009	B	`conf`	Selecting a small number of representative non-dominated solutions by a hypervolume-based solution selection approach. FUZZ-IEEE Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima
2009	A	`conf`	Single-objective and multi-objective formulations of solution selection for hypervolume maximization. GECCO Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima
2009	J	`jnl`	Special issue on genetic fuzzy systems: new advances. Evol. Intell. Rafael Alcalá, Yusuke Nojima
2009	J	`jnl`	Use of biased neighborhood structures in multiobjective memetic algorithms. Soft Comput. Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima
2009	J	`jnl`	Use of multi-objective genetic rule selection for examining the effectiveness of inter-vehicle communication in traffic simulations. Artif. Life Robotics Yoshihiro Hamada, Yusuke Nojima, Hisao Ishibuchi
2008	J	`jnl`	An empirical study on similarity-based mating for evolutionary multiobjective combinatorial optimization. Eur. J. Oper. Res. Hisao Ishibuchi, Kaname Narukawa, Noritaka Tsukamoto, Yusuke Nojima
2008	—	`conf`	Behavior of Evolutionary Many-Objective Optimization. UKSim Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima
2008	—	`conf`	Designing fuzzy rule-based classifiers that can visually explain their classification results to human users. GEFS Hisao Ishibuchi, Yutaka Kaisho, Yusuke Nojima
2008	B	`conf`	Effectiveness of designing fuzzy rule-based classifiers from Pareto-optimal rules. FUZZ-IEEE Isao Kuwajima, Hisao Ishibuchi, Yusuke Nojima
2008	A	`conf`	Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems. GECCO Hisao Ishibuchi, Noritaka Tsukamoto, Yasuhiro Hitotsuyanagi, Yusuke Nojima
2008	Misc	`conf`	Effects of Diversity Measures on the Design of Ensemble Classifiers by Multiobjective Genetic Fuzzy Rule Selection with a Multi-classifier Coding Scheme. HAIS Yusuke Nojima, Hisao Ishibuchi
2008	J	`jnl`	Effects of constructing fuzzy discretization from crisp discretization for rule-based classifiers. Artif. Life Robotics Isao Kuwajima, Yusuke Nojima, Hisao Ishibuchi
2008	—	`ch.`	Evolutionary Multi-objective Rule Selection for Classification Rule Mining. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima
2008	—	`ch.`	Evolutionary Multiobjective Design of Fuzzy Rule-Based Classifiers. Computational Intelligence: A Compendium Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
2008	—	`conf`	Evolutionary Multiobjective Fuzzy System Design. BIONETICS Hisao Ishibuchi, Yusuke Nojima
2008	—	`conf`	Evolutionary many-objective optimization. GEFS Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima
2008	B	`conf`	Evolutionary many-objective optimization: A short review. IEEE Congress on Evolutionary Computation Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima
2008	A	`conf`	Examining the Effect of Elitism in Cellular Genetic Algorithms Using Two Neighborhood Structures. PPSN Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima
2008	A	`conf`	Maintaining the diversity of solutions by non-geometric binary crossover: a worst one-max solver competition case study. GECCO Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima
2008	—	`ch.`	Multiobjective Classification Rule Mining. Multiobjective Problem Solving from Nature Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima
2008	J	`jnl`	Obtaining accurate classifiers with Pareto-optimal and near Pareto-optimal rules. Artif. Life Robotics Isao Kuwajima, Yusuke Nojima, Hisao Ishibuchi
2008	—	`ch.`	Pattern Classification with Linguistic Rules. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models Hisao Ishibuchi, Yusuke Nojima
2008	B	`conf`	Scalability of multiobjective genetic local search to many-objective problems: Knapsack problem case studies. IEEE Congress on Evolutionary Computation Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yusuke Nojima
2008	A	`conf`	Use of Heuristic Local Search for Single-Objective Optimization in Multiobjective Memetic Algorithms. PPSN Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima
2008	—	`conf`	Use of Local Ranking in Cellular Genetic Algorithms with Two Neighborhood Structures. SEAL Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima
2007	—	`conf`	A Study on Traffic Information Sharing Through Inter-Vehicle Communication. ISIC Ken Ohara, Yusuke Nojima, Hisao Ishibuchi
2007	B	`conf`	An empirical study on the specification of the local search application probability in multiobjective memetic algorithms. IEEE Congress on Evolutionary Computation Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yusuke Nojima
2007	J	`jnl`	Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning. Int. J. Approx. Reason. Hisao Ishibuchi, Yusuke Nojima
2007	B	`conf`	Choosing extreme parents for diversity improvement in evolutionary multiobjective optimization algorithms. SMC Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima
2007	B	`conf`	Data Set Subdivision for Parallel Distributed Implementation of Genetic Fuzzy Rule Selection. FUZZ-IEEE Yusuke Nojima, Isao Kuwajima, Hisao Ishibuchi
2007	B	`conf`	Effects of spatial structures on evolution of iterated prisoner's dilemma game strategies with probabilistic decision making. IEEE Congress on Evolutionary Computation Ken Ohara, Yusuke Nojima, Yumeka Kitano, Hisao Ishibuchi
2007	A	`conf`	Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization. GECCO Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, Ken Ohara
2007	J	`jnl`	Genetic rule selection with a multi-classifier coding scheme for ensemble classifier design. Int. J. Hybrid Intell. Syst. Yusuke Nojima, Hisao Ishibuchi
2007	B	`conf`	Iterative approach to indicator-based multiobjective optimization. IEEE Congress on Evolutionary Computation Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima
2007	C	`conf`	Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization. EMO Hisao Ishibuchi, Yusuke Nojima
2007	—	`conf`	Prescreening of Candidate Rules Using Association Rule Mining and Pareto-optimality in Genetic Rule Selection. KES (2) Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima
2007	—	`conf`	Relation between Pareto-Optimal Fuzzy Rules and Pareto-Optimal Fuzzy Rule Sets. MCDM Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima
2007	—	`ch.`	Use of Pareto-Optimal and Near Pareto-Optimal Candidate Rules in Genetic Fuzzy Rule Selection. Analysis and Design of Intelligent Systems using Soft Computing Techniques Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima
2006	B	`conf`	Comparison between Single-Objective and Multi-Objective Genetic Algorithms: Performance Comparison and Performance Measures. IEEE Congress on Evolutionary Computation Hisao Ishibuchi, Yusuke Nojima, Tsutomu Doi
2006	C	`conf`	Designing Fuzzy Ensemble Classifiers by Evolutionary Multiobjective Optimization with an Entropy-Based Diversity Criterion. HIS Yusuke Nojima, Hisao Ishibuchi
2006	A	`conf`	Effects of Using Two Neighborhood Structures in Cellular Genetic Algorithms for Function Optimization. PPSN Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima
2006	J	`jnl`	Evolutionary multiobjective optimization for the design of fuzzy rule-based ensemble classifiers. Int. J. Hybrid Intell. Syst. Hisao Ishibuchi, Yusuke Nojima
2006	—	`conf`	Finding Simple Fuzzy Classification Systems with High Interpretability Through Multiobjective Rule Selection. KES (2) Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
2006	B	`conf`	Fuzzy Data Mining by Heuristic Rule Extraction and Multiobjective Genetic Rule Selection. FUZZ-IEEE Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
2006	—	`ch.`	Fuzzy Ensemble Design through Multi-Objective Fuzzy Rule Selection. Multi-Objective Machine Learning Hisao Ishibuchi, Yusuke Nojima
2006	A	`conf`	Incorporation of Scalarizing Fitness Functions into Evolutionary Multiobjective Optimization Algorithms. PPSN Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima
2006	A	`conf`	Incorporation of decision maker's preference into evolutionary multiobjective optimization algorithms. GECCO Hisao Ishibuchi, Yusuke Nojima, Kaname Narukawa, Tsutomu Doi
2006	A	`conf`	Multiobjective genetic rule selection as a data mining postprocessing procedure. GECCO Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
2006	J	`jnl`	Multiple fuzzy state-value functions for human evaluation through interactive trajectory planning of a partner robot. Soft Comput. Naoyuki Kubota, Yusuke Nojima, Fumio Kojima, Toshio Fukuda
2005	A	`conf`	An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization. GECCO Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima
2005	B	`conf`	Comparison between Fuzzy and Interval Partitions in Evolutionary Multiobjective Design of Rule-Based Classification Systems. FUZZ-IEEE Hisao Ishibuchi, Yusuke Nojima
2005	C	`conf`	Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm. EMO Yusuke Nojima, Kaname Narukawa, Shiori Kaige, Hisao Ishibuchi
2005	B	`conf`	Modification of Evolutionary Multiobjective Optimization Algorithms for Multiobjective Design of Fuzzy Rule-Based Classification Systems. FUZZ-IEEE Kaname Narukawa, Yusuke Nojima, Hisao Ishibuchi
2005	—	`conf`	Multiobjective Formulations of Fuzzy Rule-Based Classification System Design. EUSFLAT Conf. Hisao Ishibuchi, Yusuke Nojima
2005	C	`conf`	Performance Evaluation of Evolutionary Multiobjective Approaches to the Design of Fuzzy Rule-Based Ensemble Classifiers. HIS Hisao Ishibuchi, Yusuke Nojima
2004	A	`conf`	Imitative behavior generation for a vision-based partner robot. IROS Naoyuki Kubota, Yusuke Nojima, Fumio Kojima
2004	B	`conf`	Trajectory generation and accumulation for partner robots based on structured learning. IEEE Congress on Evolutionary Computation Yusuke Nojima, Naoyuki Kubota, Fumio Kojima
2003	B	`conf`	Local episode-based learning of multi-objective behavior coordination for a mobile robot in dynamic environments. FUZZ-IEEE Yusuke Nojima, Fumio Kojima, Naoyuki Kubota
2003	—	`conf`	Trajectory generation for human-friendly behavior of partner robot using fuzzy evaluating interactive genetic algorithm. CIRA Yusuke Nojima, Fumio Kojima, Naoyuki Kubota
2000	B	`conf`	Evolving pet robot with emotional model. CEC Naoyuki Kubota, Yusuke Nojima, Norio Baba, Fumio Kojima, Toshio Fukuda
2000	—	`conf`	Multi-Objective Behavior Coordinate for a Mobile Robot with Fuzzy Neural Networks. IJCNN (6) Naoyuki Kubota, Yusuke Nojima, Fumio Kojima, Toshio Fukuda
2000	J	`jnl`	Path Planning and Control for a Flexible Transfer System. J. Robotics Mechatronics Naoyuki Kubota, Yusuke Nojima, Fumio Kojima, Toshio Fukuda, Susumu Shibata