Hisao Ishibuchi

694 papers A* 6A 63B 160C 38Misc 1Journal 242Unranked 163

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Class Inference Scheme with Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems. ACM Trans. Evol. Learn. Optim. Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
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`	Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems. IEEE Trans. Evol. Comput. Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata
2026	J	`jnl`	An Efficient Evolutionary Algorithm for Few-for-Many Optimization. CoRR Ke Shang, Hisao Ishibuchi, Zexuan Zhu, Qingfu Zhang
2026	J	`jnl`	Enhancing Pareto Set Learning with evolutionary multi-objective optimization. Swarm Evol. Comput. Ke Shang, Yu Wang, Zexuan Zhu, Hisao Ishibuchi
2025	J	`jnl`	A Class Inference Scheme With Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems. CoRR Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
2025	J	`jnl`	A new EGO-driven memetic algorithm for solving flexible job shop scheduling problem. Inf. Sci. Chanjuan Liu, Guojing Zhang, Bingcai Chen, Hisao Ishibuchi
2025	J	`jnl`	Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems. CoRR Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata
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	B	`conf`	An Inverse Model-based Solution Generation Method for Evolutionary Multi-objective Optimization Algorithms. IJCNN Tianye Shu, Hisao Ishibuchi, Lie Meng Pang
2025	J	`jnl`	Critical nodes detection for complex networks via knowledge-guided evolutionary framework. Eng. Appl. Artif. Intell. Chanjuan Liu, Shike Ge, Zhihan Chen, Wenbin Pei, Enqiang Zhu, Hisao Ishibuchi
2025	J	`jnl`	DPP-HSS: Toward Fast and Scalable Hypervolume Subset Selection for Many-Objective Optimization. IEEE Trans. Evol. Comput. Cheng Gong, Yang Nan, Ke Shang, Ping Guo, Hisao Ishibuchi, Qingfu Zhang
2025	B	`conf`	Dual Population-Based Objective Modification for Enhancing NSGA-II in Many-Objective Optimization. SMC Lie Meng Pang, Hisao Ishibuchi, Hemant Kumar Signh
2025	B	`conf`	Effects of Unbounded External Archive on the Performance of Constrained Multiobjective Evolutionary Algorithms. CEC Yanyu Chen, Linfeng Zhu, Lie Meng Pang, Hisao Ishibuchi
2025	—	`conf`	Enhancing NSGA-II with a Knee Point for Constrained Multi-objective Optimization. EMO (1) Lie Meng Pang, Hisao Ishibuchi, Yang Nan
2025	—	`conf`	Evidential Fuzzy Rule-Based Machine Learning to Quantify Classification Uncertainty. GECCO Companion Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
2025	—	`conf`	Evolutionary Co-Optimization of Rule Shape and Fuzziness in Rule-Based Machine Learning. GECCO Companion Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata
2025	—	`conf`	Fair Performance Comparison of Evolutionary Multi-Objective Algorithms. GECCO Companion Hisao Ishibuchi, Lie Meng Pang
2025	J	`jnl`	Fusion of Explainable Deep Learning Features Using Fuzzy Integral in Computer Vision. IEEE Trans. Fuzzy Syst. Yifan Wang, Witold Pedrycz, Hisao Ishibuchi, Jihua Zhu
2025	J	`jnl`	Gradient-Guided Local Search for Large-Scale Hypervolume Subset Selection. IEEE Trans. Evol. Comput. Yang Nan, Tianye Shu, Hisao Ishibuchi, Ke Shang
2025	B	`conf`	How to Choose Solutions for Applying Momentum in Evolutionary Multi-Objective Optimization. SMC Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2025	—	`conf`	Impact of Reformulation for the Real-World Constrained Multi-Objective Problems on the Performance of Evolutionary Algorithms. GECCO Companion Jinglin Wang, Hongyu Zhu, Yang Nan, Hisao Ishibuchi
2025	A	`conf`	Influence of Subpopulation on the Performance of Coevolutionary Algorithms for Constrained Multiobjective Optimization Problems. GECCO Yanyu Chen, Hisao Ishibuchi, Yang Nan
2025	B	`conf`	Investigation of Training-free Metrics for Multi-objective Neural Architecture Search. IJCNN Tianye Shu, Hisao Ishibuchi, Andy Song, Yang Nan, Lie Meng Pang
2025	B	`conf`	Large Language Model-Based Benchmarking Experiment Settings for Evolutionary Multi-Objective Optimization. CEC Lie Meng Pang, Hisao Ishibuchi
2025	J	`jnl`	Large Language Model-Based Benchmarking Experiment Settings for Evolutionary Multi-Objective Optimization. CoRR Lie Meng Pang, Hisao Ishibuchi
2025	J	`jnl`	Learning to Evolve With Guiding Solutions Generated by Generative Adversarial Network. IEEE Trans. Evol. Comput. Hongwei Ge, Zhi Zheng, Yaqing Hou, Xia Wang, Hisao Ishibuchi
2025	J	`jnl`	MaNSGA-II: Many-Objective NSGA-II. IEEE Trans. Emerg. Top. Comput. Intell. Lie Meng Pang, Hisao Ishibuchi, Kalyanmoy Deb, Ke Shang
2025	J	`jnl`	Meta-Black-Box optimization for evolutionary algorithms: Review and perspective. Swarm Evol. Comput. Xu Yang, Rui Wang, Kaiwen Li, Hisao Ishibuchi
2025	A*	`conf`	Multi-Objective Molecular Design Through Learning Latent Pareto Set. AAAI Yiping Liu, Jiahao Yang, Xuanbai Ren, Xinyi Zhang, Yuansheng Liu, Bosheng Song, Xiangxiang Zeng, Hisao Ishibuchi
2025	B	`conf`	Mutation Probability Specification in Large-Scale Evolutionary Multi-Objective Optimization Algorithms. SMC Yang Nan, Hisao Ishibuchi, Tianye Shu, Longcan Chen
2025	—	`conf`	Numerical Analysis of Pareto Set Modeling. EMO (2) Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang
2025	B	`conf`	On the Quality of Large Non-dominated Archives. CEC Ke Shang, Tianye Shu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi
2025	B	`conf`	Optimal Distribution of Solutions for Crowding Distance on Linear Pareto Fronts of Two-Objective Optimization Problems. CEC Hisao Ishibuchi, Lie Meng Pang
2025	J	`jnl`	Optimal Distribution of Solutions for Crowding Distance on Linear Pareto Fronts of Two-Objective Optimization Problems. CoRR Hisao Ishibuchi, Lie Meng Pang
2025	A	`conf`	Optimal Distributions of Solutions for Maximizing the Minimum Crowding Distance for Two-Objective and Three-Objective Linear Pareto Fronts: Search Behavior Analysis of NSGA-II. FOGA Hisao Ishibuchi, Yang Nan, Lie Meng Pang
2025	—	`conf`	Performance Analysis of Constrained Evolutionary Multi-objective Optimization Algorithms on Artificial and Real-World Problems. EMO (2) Yang Nan, Hisao Ishibuchi, Lie Meng Pang
2025	A	`conf`	Performance Comparison between Evolutionary Algorithms and Linear Programming-based Relaxation Methods for Multi-Objective Knapsack Problems. GECCO Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2025	B	`conf`	Population Initialization for Evolutionary Multi-objective Optimization: A Short Review. CEC Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2025	A	`conf`	R2 Indicator Analysis using the Optimal Distributions of Solutions for R2 and Other Indicators. GECCO Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
2025	A	`conf`	Scalable Multi-Modal Multi-Objective Test Problems with Respect to Decision Space Dimensionality and Pareto Set Dimensionality: High-Dimensional Manhattan Distance Minimization Problems. FOGA Hisao Ishibuchi, Tianye Shu, Lie Meng Pang
2025	A	`conf`	Search Behavior Analysis of NSGA-III: Dominance-based and Decomposition-based Multi-objective Evolutionary Algorithm. GECCO Hisao Ishibuchi, Lie Meng Pang, Cheng Gong
2025	B	`conf`	Shape of Feasible Regions of Real-World Multi-Objective Problems. CEC Yang Nan, Hisao Ishibuchi, Tianye Shu
2025	—	`conf`	Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems. PRICAI (4) Ke Shang, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi
2025	—	`conf`	Small Population Size is Enough in Many Cases with External Archives. EMO (2) Yang Nan, Hisao Ishibuchi, Lie Meng Pang
2025	—	`conf`	Stochastic Local Mutation for Efficient Membership Function Exploration in Fuzzy Classifiers. FUZZ Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
2025	J	`jnl`	Synergistic integration of metaheuristics and machine learning: latest advances and emerging trends. Artif. Intell. Rev. Ruining Zhang, Jian Wang, Chanjuan Liu, Kaile Su, Hisao Ishibuchi, Yaochu Jin
2025	J	`jnl`	Targeted Pareto Optimization for Subset Selection With Monotone Objective Function and Cardinality Constraint. IEEE Trans. Evol. Comput. Ke Shang, Guotong Wu, Lie Meng Pang, Hisao Ishibuchi
2025	B	`conf`	Using Momentum Moves as Training Data for Neural Network-Based Offspring Generation in Evolutionary Multi-Objective Optimization. IJCNN Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2025	—	`conf`	Visual Explanations of Some Problematic Search Behaviors of Frequently-Used EMO Algorithms. EMO (2) Hisao Ishibuchi, Lie Meng Pang
2025	B	`conf`	Visual Tradeoff Analysis between Decision Space Diversity and Objective Space Diversity: Use of DTLZ Test Problems as Multi-Modal Multi-Objective Optimization Problems. SMC Lie Meng Pang, Tianye Shu, Hisao Ishibuchi
2025	—	`conf`	When to Truncate the Archive? On the Effect of the Truncation Frequency in Multi-Objective Optimisation. GECCO Companion Zhiji Cui, Zimin Liang, Lie Meng Pang, Hisao Ishibuchi, Miqing Li
2025	J	`jnl`	When to Truncate the Archive? On the Effect of the Truncation Frequency in Multi-Objective Optimisation. CoRR Zhiji Cui, Zimin Liang, Lie Meng Pang, Hisao Ishibuchi, Miqing Li
2025	A*	`conf`	X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning. IJCAI Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
2025	J	`jnl`	X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning. CoRR Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata
2024	B	`conf`	A Multi-objective Perspective Towards Improving Meta-Generalization. IJCNN Weiduo Liao, Ying Wei, Qirui Sun, Qingfu Zhang, Hisao Ishibuchi
2024	—	`conf`	A Variable-Length Fuzzy Set Representation for Learning Fuzzy-Classifier Systems. PPSN (3) Hiroki Shiraishi, Rongguang Ye, Hisao Ishibuchi, Masaya Nakata
2024	—	`conf`	An Unbounded Archive-Based Inverse Model in Evolutionary Multi-objective Optimization. PPSN (4) Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi
2024	B	`conf`	Analysis of Algorithm Comparison Results on Real-World Multi-Objective Problems. CEC Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2024	A	`conf`	Analysis of Real-World Constrained Multi-Objective Problems and Performance Comparison of Multi-Objective Algorithms. GECCO Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
2024	J	`jnl`	Convolutional Fuzzy Neural Networks With Random Weights for Image Classification. IEEE Trans. Emerg. Top. Comput. Intell. Yifan Wang, Hisao Ishibuchi, Witold Pedrycz, Jihua Zhu, Xiangyong Cao, Jun Wang
2024	B	`conf`	Data-Driven Preference Sampling for Pareto Front Learning. IJCNN Rongguang Ye, Lei Chen, Weiduo Liao, Jinyuan Zhang, Hisao Ishibuchi
2024	J	`jnl`	Data-Driven Preference Sampling for Pareto Front Learning. CoRR Rongguang Ye, Lei Chen, Weiduo Liao, Jinyuan Zhang, Hisao Ishibuchi
2024	—	`conf`	Distance-Based Subset Selection With a Knee Point for Multi-Objective Optimization. SCIS/ISIS Lie Meng Pang, Hisao Ishibuchi
2024	A	`conf`	Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum. GECCO Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2024	J	`jnl`	Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects. CoRR Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Daniel Molina, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera
2024	J	`jnl`	Evolutionary Multimodal Multiobjective Optimization for Traveling Salesman Problems. IEEE Trans. Evol. Comput. Yiping Liu, Liting Xu, Yuyan Han, Xiangxiang Zeng, Gary G. Yen, Hisao Ishibuchi
2024	A	`conf`	Evolutionary Preference Sampling for Pareto Set Learning. GECCO Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi
2024	J	`jnl`	Evolutionary Preference Sampling for Pareto Set Learning. CoRR Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi
2024	B	`conf`	GHVC-Net: Hypervolume Contribution Approximation Based on Graph Neural Network. SMC Guotong Wu, Yang Nan, Ke Shang, Hisao Ishibuchi
2024	A	`conf`	Gradient-Guided Local Search for IGD/IGDPlus Subset Selection. GECCO Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
2024	A	`conf`	Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems. GECCO Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2024	—	`conf`	Hypervolume Gradient Subspace Approximation. PPSN (4) Kenneth Zhang, Angel E. Rodriguez-Fernandez, Ke Shang, Hisao Ishibuchi, Oliver Schütze
2024	J	`jnl`	Hypervolume-Based Cooperative Coevolution With Two Reference Points for Multiobjective Optimization. IEEE Trans. Evol. Comput. Lie Meng Pang, Hisao Ishibuchi, Linjun He, Ke Shang, Longcan Chen
2024	J	`jnl`	Improving Critical Node Detection Using Neural Network-based Initialization in a Genetic Algorithm. CoRR Chanjuan Liu, Shike Ge, Zhihan Chen, Wenbin Pei, Enqiang Zhu, Yi Mei, Hisao Ishibuchi
2024	B	`conf`	Interactive Final Solution Selection in Multi-Objective Optimization. CEC Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2024	—	`conf`	LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset Selection. PPSN (4) Cheng Gong, Ping Guo, Tianye Shu, Qingfu Zhang, Hisao Ishibuchi
2024	B	`conf`	Last-X-Generation Archiving Strategy for Multi-Objective Evolutionary Algorithms. CEC Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
2024	A*	`conf`	Learning Pareto Set for Multi-Objective Continuous Robot Control. IJCAI Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi
2024	J	`jnl`	Learning Pareto Set for Multi-Objective Continuous Robot Control. CoRR Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi
2024	J	`jnl`	Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation. IEEE Trans. Evol. Comput. Ke Shang, Tianye Shu, Hisao Ishibuchi
2024	J	`jnl`	Multi-objective evolutionary algorithm with evolutionary-status-driven environmental selection. Inf. Sci. Kangnian Lin, Genghui Li, Qingyan Li, Zhenkun Wang, Hisao Ishibuchi, Hu Zhang
2024	—	`conf`	New Framework of Multi-Objective Evolutionary Algorithms with Unbounded External Archive. GECCO Companion Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2024	B	`conf`	On the use of the Total Constraint Violation as an Additional Objective in Evolutionary Multi-Objective Optimization. SMC Yang Nan, Hisao Ishibuchi, Tianye Shu, Cheng Gong
2024	B	`conf`	Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization. SMC Rongguang Ye, Longcan Chen, Wei-Bin Kou, Jinyuan Zhang, Hisao Ishibuchi
2024	J	`jnl`	Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization. CoRR Rongguang Ye, Longcan Chen, Wei-Bin Kou, Jinyuan Zhang, Hisao Ishibuchi
2024	B	`conf`	Performance Evaluation of Evolutionary Multi-Objective Algorithms Using Real-World Problems with an Additional Total Constraint Violation Objective. CEC Yang Nan, Hisao Ishibuchi, Tianye Shu
2024	A	`conf`	Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations. GECCO Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
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`	Reliability of Indicator-Based Comparison Results of Evolutionary Multi-objective Algorithms. PPSN (4) Lie Meng Pang, Hisao Ishibuchi, Yang Nan, Cheng Gong
2024	—	`conf`	Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithms. PPSN (4) Cheng Gong, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
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 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	C	`conf`	An Improved Fuzzy Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization Problems with Complicated Pareto Sets. EMO Jinyuan Zhang, Linjun He, Hisao Ishibuchi
2023	J	`jnl`	An Improved Local Search Method for Large-Scale Hypervolume Subset Selection. IEEE Trans. Evol. Comput. Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He
2023	—	`conf`	Analysis of Partition Methods for Dominated Solution Removal from Large Solution Sets. SSCI Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
2023	J	`jnl`	Benchmarking large-scale subset selection in evolutionary multi-objective optimization. Inf. Sci. Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang
2023	A*	`conf`	Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework. NeurIPS Weiduo Liao, Ying Wei, Mingchen Jiang, Qingfu Zhang, Hisao Ishibuchi
2023	J	`jnl`	Dual-Fuzzy-Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization. IEEE Trans. Evol. Comput. Jinyuan Zhang, Linjun He, Hisao Ishibuchi
2023	J	`jnl`	Effects of Archive Size on Computation Time and Solution Quality for Multiobjective Optimization. IEEE Trans. Evol. Comput. Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan
2023	A	`conf`	Effects of Dominance Modification on Hypervolume-based and IGD-based Performance Evaluation Results of NSGA-II. GECCO Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2023	B	`conf`	Effects of External Archives on the Performance of Multi-Objective Evolutionary Algorithms on Real-World Problems. CEC Yang Nan, Tianye Shu, Hisao Ishibuchi
2023	A	`conf`	Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization. GECCO Cheng Gong, Yang Nan, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2023	B	`conf`	Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary Algorithms. SMC Cheng Gong, Lie Meng Pang, Yang Nan, Hisao Ishibuchi, Qingfu Zhang
2023	—	`conf`	Effects of Initialization Methods on the Performance of Surrogate-Based Multiobjective Evolutionary Algorithms. SSCI Jinyuan Zhang, Hisao Ishibuchi, Linjun He, Yang Nan
2023	A	`conf`	Effects of Objective Space Normalization in Multi-Objective Evolutionary Algorithms on Real-World Problems. GECCO Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan
2023	J	`jnl`	Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms. Swarm Evol. Comput. Linjun He, Auraham Camacho, Yang Nan, Anupam Trivedi, Hisao Ishibuchi, Dipti Srinivasan
2023	—	`conf`	Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts. SSCI Ke Shang, Tianye Shu, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi
2023	—	`conf`	Ensemble R2-based Hypervolume Contribution Approximation. SSCI Guotong Wu, Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
2023	A	`conf`	Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous UAV Navigation in Large-Scale Complex Environments. GECCO Guangyan An, Ziyu Wu, Zhilong Shen, Ke Shang, Hisao Ishibuchi
2023	—	`conf`	Examination of the Multimodal Nature of Multi-Objective Neural Architecture Search. SSCI Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
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`	Guest Editorial Special Issue on Deep Reinforcement Learning for Optimization: Methods and Application. IEEE Trans. Emerg. Top. Comput. Intell. Rui Wang, Lining Xing, Maoguo Gong, Ponnuthurai Nagaratnam Suganthan, Hisao Ishibuchi
2023	J	`jnl`	HV-Net: Hypervolume Approximation Based on DeepSets. IEEE Trans. Evol. Comput. Ke Shang, Weiyu Chen, Weiduo Liao, Hisao Ishibuchi
2023	B	`conf`	How to Find a Large Solution Set to Cover the Entire Pareto Front in Evolutionary Multi-Objective Optimization. SMC Lie Meng Pang, Yang Nan, Hisao Ishibuchi
2023	J	`jnl`	Hybridization of Evolutionary Algorithm and Deep Reinforcement Learning for Multiobjective Orienteering Optimization. IEEE Trans. Evol. Comput. Wei Liu, Rui Wang, Tao Zhang, Kaiwen Li, Wenhua Li, Hisao Ishibuchi, Xiangke Liao
2023	—	`conf`	Initial Populations with a Few Heuristic Solutions Significantly Improve Evolutionary Multi-Objective Combinatorial Optimization. SSCI Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
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	—	`conf`	Normalization in R2-Based Hypervolume and Hypervolume Contribution Approximation. SSCI Guotong Wu, Tianye Shu, Ke Shang, Hisao Ishibuchi
2023	J	`jnl`	On the utilization of pair-potential energy functions in multi-objective optimization. Swarm Evol. Comput. Jesús Guillermo Falcón-Cardona, Edgar Covantes Osuna, Carlos A. Coello Coello, Hisao Ishibuchi
2023	C	`conf`	Partially Degenerate Multi-objective Test Problems. EMO Lie Meng Pang, Yang Nan, Hisao Ishibuchi
2023	C	`conf`	Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems. EMO Hisao Ishibuchi, Yang Nan, Lie Meng Pang
2023	C	`conf`	Preference-Based Nonlinear Normalization for Multiobjective Optimization. EMO Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan
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`	Relation Between Objective Space Normalization and Weight Vector Scaling in Decomposition-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. Linjun He, Ke Shang, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan
2023	A	`conf`	STHV-Net: Hypervolume Approximation based on Set Transformer. GECCO Han Zhu, Ke Shang, Hisao Ishibuchi
2023	J	`jnl`	The dilemma between eliminating dominance-resistant solutions and preserving boundary solutions of extremely convex Pareto fronts. Complex Intell. Syst. Zhenkun Wang, Qingyan Li, Qite Yang, Hisao Ishibuchi
2023	A	`conf`	Two-Phase Procedure for Efficiently Removing Dominated Solutions From Large Solution Sets. GECCO Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
2023	C	`conf`	Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems. EMO Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
2023	B	`conf`	Two-Stage Lazy Greedy Inclusion Hypervolume Subset Selection for Large-Scale Problem. SMC Yang Nan, Tianye Shu, Hisao Ishibuchi
2023	J	`jnl`	Unsupervised multilayer fuzzy neural networks for image clustering. Inf. Sci. Yifan Wang, Hisao Ishibuchi, Meng Joo Er, Jihua Zhu
2023	J	`jnl`	Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE Trans. Cybern. Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2022	J	`jnl`	A Diversity-Enhanced Subset Selection Framework for Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. Yiming Peng, Hisao Ishibuchi
2022	J	`jnl`	A Kernel-Based Indicator for Multi/Many-Objective Optimization. IEEE Trans. Evol. Comput. Xinye Cai, Yushun Xiao, Zhenhua Li, Qi Sun, Hanchuan Xu, Miqing Li, Hisao Ishibuchi
2022	J	`jnl`	A Novel Dual-Stage Dual-Population Evolutionary Algorithm for Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. Mengjun Ming, Rui Wang, Hisao Ishibuchi, Tao Zhang
2022	J	`jnl`	A classification-assisted environmental selection strategy for multiobjective optimization. Swarm Evol. Comput. Jinyuan Zhang, Hisao Ishibuchi, Linjun He
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 Evolutionary Multiobjective Knee-Based Lower Upper Bound Estimation Method for Wind Speed Interval Forecast. IEEE Trans. Evol. Comput. Kaiwen Li, Tao Zhang, Rui Wang, Ling Wang, Hisao Ishibuchi
2022	—	`conf`	Analytical Methods to Separately Evaluate Convergence and Diversity for Multi-objective Optimization. MIC Takato Kinoshita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi
2022	J	`jnl`	Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization. CoRR Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang
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	J	`jnl`	Counterintuitive Experimental Results in Evolutionary Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2022	J	`jnl`	Difficulties in Fair Performance Comparison of Multi-Objective Evolutionary Algorithms [Research Frontier]. IEEE Comput. Intell. Mag. Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2022	—	`conf`	Difficulties in fair performance comparison of multiobjective evolutionary algorithms. GECCO Companion Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2022	—	`conf`	Direction Vector Selection for R2-Based Hypervolume Contribution Approximation. PPSN (2) Tianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi
2022	—	`conf`	Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study. PPSN (2) Yiming Peng, Hisao Ishibuchi
2022	J	`jnl`	Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization. CoRR Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan
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`	Explainable and Trustworthy Artificial Intelligence [Guest Editorial]. IEEE Comput. Intell. Mag. Jose Maria Alonso-Moral, Corrado Mencar, Hisao Ishibuchi
2022	J	`jnl`	Fast Greedy Subset Selection From Large Candidate Solution Sets in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. Weiyu Chen, Hisao Ishibuchi, Ke Shang
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`	HV-Net: Hypervolume Approximation based on DeepSets. CoRR Ke Shang, Weiyu Chen, Weiduo Liao, Hisao Ishibuchi
2022	—	`conf`	HVC-Net: Deep Learning Based Hypervolume Contribution Approximation. PPSN (1) Ke Shang, Weiduo Liao, Hisao Ishibuchi
2022	J	`jnl`	Hybridization of evolutionary algorithm and deep reinforcement learning for multi-objective orienteering optimization. CoRR Wei Liu, Rui Wang, Tao Zhang, Kaiwen Li, Wenhua Li, Hisao Ishibuchi
2022	J	`jnl`	Hypervolume-Optimal μ-Distributions on Line/Plane-Based Pareto Fronts in Three Dimensions. IEEE Trans. Evol. Comput. Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan, Weiduo Liao
2022	—	`ed.`	IEEE Symposium Series on Computational Intelligence, SSCI 2022, Singapore, December 4-7, 2022 SSCI Hisao Ishibuchi, Chee-Keong Kwoh, Ah-Hwee Tan, Dipti Srinivasan, Chunyan Miao, Anupam Trivedi, Keeley A. Crockett
2022	J	`jnl`	Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation. CoRR Ke Shang, Tianye Shu, Hisao Ishibuchi
2022	B	`conf`	Multi-Modal Multi-Objective Test Problems with an Infinite Number of Equivalent Pareto Sets. CEC Hisao Ishibuchi, Yiming Peng, Lie Meng Pang
2022	—	`conf`	New Solution Creation Operator in MOEA/D for Faster Convergence. PPSN (2) Longcan Chen, Lie Meng Pang, Hisao Ishibuchi
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
2021	B	`conf`	A Decomposition-based Hybrid Evolutionary Algorithm for Multi-modal Multi-objective Optimization. SMC Yiming Peng, Hisao Ishibuchi
2021	J	`jnl`	A Grid-Based Inverted Generational Distance for Multi/Many-Objective Optimization. IEEE Trans. Evol. Comput. Xinye Cai, Yushun Xiao, Miqing Li, Han Hu, Hisao Ishibuchi, Xiaoping Li
2021	J	`jnl`	A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. Linjun He, Hisao Ishibuchi, Anupam Trivedi, Handing Wang, Yang Nan, Dipti Srinivasan
2021	J	`jnl`	A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. Ke Shang, Hisao Ishibuchi, Linjun He, Lie Meng Pang
2021	B	`conf`	A Two-stage Hypervolume Contribution Approximation Method Based on R2 Indicator. CEC Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He
2021	B	`conf`	Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization. SMC Weiyu Chen, Hisao Ishibuchi, Ke Shang
2021	J	`jnl`	Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization. CoRR Weiyu Chen, Hisao Ishibuchi, Ke Shang
2021	A	`conf`	Distance-based subset selection revisited. GECCO Ke Shang, Hisao Ishibuchi, Yang Nan
2021	A	`conf`	Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms. GECCO Jinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He, Lie Meng Pang, Yiming Peng
2021	C	`ed.`	Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, Proceedings EMO Hisao Ishibuchi, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li, Handing Wang, Aimin Zhou
2021	J	`jnl`	Fast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization. CoRR Weiyu Chen, Hisao Ishibuchi, Ke Shang
2021	J	`jnl`	Fuzzy Style K-Plane Clustering. IEEE Trans. Fuzzy Syst. Suhang Gu, Yusuke Nojima, Hisao Ishibuchi, Shitong Wang
2021	A	`conf`	Greedy approximated hypervolume subset selection for many-objective optimization. GECCO Ke Shang, Hisao Ishibuchi, Weiyu Chen
2021	J	`jnl`	Hypervolume-Optimal μ-Distributions on Line/Plane-based Pareto Fronts in Three Dimensions. CoRR Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan, Weiduo Liao
2021	B	`conf`	Improving Local Search Hypervolume Subset Selection in Evolutionary Multi-objective Optimization. SMC Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He
2021	C	`conf`	Improving the Efficiency of R2HCA-EMOA. EMO Ke Shang, Hisao Ishibuchi, Longcan Chen, Weiyu Chen, Lie Meng Pang
2021	—	`conf`	Initial Population Generation Method and its Effects on MOEA/D. SSCI Cheng Gong, Lie Meng Pang, Hisao Ishibuchi
2021	C	`conf`	It Is Hard to Distinguish Between Dominance Resistant Solutions and Extremely Convex Pareto Optimal Solutions. EMO Qite Yang, Zhenkun Wang, Hisao Ishibuchi
2021	A	`conf`	Metric for evaluating normalization methods in multiobjective optimization. GECCO Linjun He, Hisao Ishibuchi, Dipti Srinivasan
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	C	`conf`	Multiobjective Optimization with Fuzzy Classification-Assisted Environmental Selection. EMO Jinyuan Zhang, Hisao Ishibuchi
2021	C	`conf`	Niching Diversity Estimation for Multi-modal Multi-objective Optimization. EMO Yiming Peng, Hisao Ishibuchi
2021	J	`jnl`	Niching Diversity Estimation for Multi-modal Multi-objective Optimization. CoRR Yiming Peng, Hisao Ishibuchi
2021	J	`jnl`	On fine-tuning of Autoencoders for Fuzzy rule classifiers. CoRR Rahul Kumar Sevakula, Nishchal Kumar Verma, Hisao Ishibuchi
2021	J	`jnl`	On the Effect of the Cooperation of Indicator-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. Jesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello, Michael Emmerich
2021	B	`conf`	Periodical Generation Update using an Unbounded External Archive for Multi-Objective Optimization. CEC Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2021	—	`conf`	Periodical Weight Vector Update Using an Unbounded External Archive for Decomposition-Based Evolutionary Multi-Objective Optimization. SSCI Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2021	B	`conf`	Proposal of a New Test Problem for Large-Scale Multi- and Many-Objective Optimization. SMC Lie Meng Pang, Ke Shang, Longcan Chen, Hisao Ishibuchi, Weiyu Chen
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
2021	B	`conf`	Reference Point Specification for Greedy Hypervolume Subset Selection. SMC Ke Shang, Hisao Ishibuchi, Lie Meng Pang, Yang Nan
2021	J	`jnl`	Robust TSK Fuzzy System Based on Semisupervised Learning for Label Noise Data. IEEE Trans. Fuzzy Syst. Te Zhang, Zhaohong Deng, Hisao Ishibuchi, Lie Meng Pang
2021	B	`conf`	Unsupervised Fuzzy Neural Network for Image Clustering. FUZZ-IEEE Yifan Wang, Hisao Ishibuchi, Jihua Zhu, Yaxiong Wang, Tao Dai
2021	C	`conf`	Using a Genetic Algorithm-Based Hyper-Heuristic to Tune MOEA/D for a Set of Benchmark Test Problems. EMO Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2021	B	`conf`	Using a Genetic Algorithm-based Hyper-heuristic to Tune MOEA/D for a Set of Various Test Problems. CEC Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2021	J	`jnl`	Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. Wenhua Li, Tao Zhang, Rui Wang, Hisao Ishibuchi
2020	J	`jnl`	A Decomposition-based Large-scale Multi-modal Multi-objective Optimization Algorithm. CoRR Yiming Peng, Hisao Ishibuchi
2020	B	`conf`	A Decomposition-based Large-scale Multi-modal Multi-objective optimization Algorithm. CEC Yiming Peng, Hisao Ishibuchi
2020	J	`jnl`	A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms. CoRR Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	A Framework to Handle Multimodal Multiobjective Optimization in Decomposition-Based Evolutionary Algorithms. IEEE Trans. Evol. Comput. Ryoji Tanabe, Hisao Ishibuchi
2020	A	`conf`	A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive. ECAI Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2020	J	`jnl`	A New Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. Ke Shang, Hisao Ishibuchi
2020	J	`jnl`	A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology. IEEE Access Lie Meng Pang, Kai Meng Tay, Chee Peng Lim, Hisao Ishibuchi
2020	J	`jnl`	A Niching Indicator-Based Multi-modal Many-objective Optimizer. CoRR Ryoji Tanabe, Hisao Ishibuchi
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 Review of Evolutionary Multi-modal Multi-objective Optimization. CoRR Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	A Review of Evolutionary Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. Ryoji Tanabe, Hisao Ishibuchi
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	B	`conf`	Algorithm Configurations of MOEA/D with an Unbounded External Archive. SMC Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2020	J	`jnl`	Algorithm Configurations of MOEA/D with an Unbounded External Archive. CoRR Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2020	J	`jnl`	An Analysis of Control Parameters of MOEA/D Under Two Different Optimization Scenarios. CoRR Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	An Analysis of Quality Indicators Using Approximated Optimal Distributions in a 3-D Objective Space. IEEE Trans. Evol. Comput. Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	An Analysis of Quality Indicators Using Approximated Optimal Distributions in a Three-dimensional Objective Space. CoRR Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	An Easy-to-use Real-world Multi-objective Optimization Problem Suite. CoRR Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	An easy-to-use real-world multi-objective optimization problem suite. Appl. Soft Comput. Ryoji Tanabe, Hisao Ishibuchi
2020	A	`conf`	Another difficulty of inverted triangular pareto fronts for decomposition-based multi-objective algorithms. GECCO Linjun He, Auraham Camacho, Hisao Ishibuchi
2020	J	`jnl`	Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm Frameworks. IEEE Access Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2020	J	`jnl`	Decomposition-Based Multi-Objective Evolutionary Algorithm Design under Two Algorithm Frameworks. CoRR Lie Meng Pang, Hisao Ishibuchi, Ke Shang
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`	Dynamic Normalization in MOEA/D for Multiobjective optimization. CEC Linjun He, Hisao Ishibuchi, Anupam Trivedi, Dipti Srinivasan
2020	J	`jnl`	Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multiobjective Optimization Algorithms. CoRR Weiyu Chen, Hisao Ishibuchi, Ke Shang
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`	Erratum to "R2-Based Hypervolume Contribution Approximation". IEEE Trans. Evol. Comput. Ke Shang, Hisao Ishibuchi, Xizi Ni
2020	J	`jnl`	Evolutionary Multi-Objective Optimization Algorithm Framework with Three Solution Sets. CoRR Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2020	—	`conf`	Evolutionary many-objective optimization. GECCO Companion Hisao Ishibuchi, Hiroyuki Sato
2020	—	`conf`	Exploiting the Trade-off between Convergence and Diversity Indicators. SSCI Jesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello
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	—	`conf`	Hypervolume Optimal μ-Distributions on Line-Based Pareto Fronts in Three Dimensions. PPSN (2) Ke Shang, Hisao Ishibuchi, Weiyu Chen, Lukás Adam
2020	B	`conf`	Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution Sets. CEC Weiyu Chen, Hisao Ishibuchi, Ke Shang
2020	J	`jnl`	Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution Sets. CoRR Weiyu Chen, Hisao Ishibuchi, Ke Shang
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	B	`conf`	Modified Distance-based Subset Selection for Evolutionary Multi-objective Optimization Algorithms. CEC Weiyu Chen, Hisao Ishibuchi, Ke Shang
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	J	`jnl`	Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms. IEEE Trans. Evol. Comput. Bach Hoai Nguyen, Bing Xue, Peter Andreae, Hisao Ishibuchi, Mengjie Zhang
2020	J	`jnl`	NSGA-II With Simple Modification Works Well on a Wide Variety of Many-Objective Problems. IEEE Access Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2020	J	`jnl`	Non-elitist Evolutionary Multi-objective Optimizers Revisited. CoRR Ryoji Tanabe, Hisao Ishibuchi
2020	B	`conf`	Numerical Analysis on Optimal Distributions of Solutions for Hypervolume Maximization. SMC Hisao Ishibuchi, Lie Meng Pang, Ke Shang
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	J	`jnl`	Optimizing Long-Term Bank Financial Products Portfolio Problems with a Multiobjective Evolutionary Approach. Complex. Jian Xiong, Chao Zhang, Gang Kou, Rui Wang, Hisao Ishibuchi, Fawaz E. Alsaadi
2020	B	`conf`	Parallel Implementation of MOEA/D with Parallel Weight Vectors for Feature Selection. SMC Weiduo Liao, Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2020	—	`conf`	Performance Comparison of Multi-Objective Evolutionary Algorithms on Simple and Difficult Many-Objective Test Problems. SSCI Longcan Chen, Ke Shang, Hisao Ishibuchi
2020	B	`conf`	Population Size Specification for Fair Comparison of Multi-objective Evolutionary Algorithms. SMC Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2020	—	`conf`	Proposal of a Realistic Many-Objective Test Suite. PPSN (1) Weiyu Chen, Hisao Ishibuchi, Ke Shang
2020	J	`jnl`	R2-Based Hypervolume Contribution Approximation. IEEE Trans. Evol. Comput. Ke Shang, Hisao Ishibuchi, Xizi Ni
2020	J	`jnl`	Reverse Strategy for Non-Dominated Archiving. IEEE Access Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He
2020	J	`jnl`	Review and Analysis of Three Components of Differential Evolution Mutation Operator in MOEA/D-DE. CoRR Ryoji Tanabe, Hisao Ishibuchi
2020	B	`conf`	Riesz s-energy-based Reference Sets for Multi-Objective optimization. CEC Jesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello
2020	J	`jnl`	Simultaneous use of two normalization methods in decomposition-based multi-objective evolutionary algorithms. Appl. Soft Comput. Linjun He, Ke Shang, Hisao Ishibuchi
2020	J	`jnl`	Solution Subset Selection for Final Decision Making in Evolutionary Multi-Objective Optimization. CoRR Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2020	—	`conf`	Transformation-based Hypervolume Indicator: A Framework for Designing Hypervolume Variants. SSCI Ke Shang, Hisao Ishibuchi, Yang Nan, Weiyu Chen
2020	A	`conf`	What is a good direction vector set for the R2-based hypervolume contribution approximation. GECCO Yang Nan, Ke Shang, Hisao Ishibuchi
2019	B	`conf`	A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. CEC Kanzhen Wan, Cheng He, Auraham Camacho, Ke Shang, Ran Cheng, Hisao Ishibuchi
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	J	`jnl`	A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. Wenjing Hong, Ke Tang, Aimin Zhou, Hisao Ishibuchi, Xin Yao
2019	B	`conf`	A Scalable Multimodal Multiobjective Test Problem. CEC Hisao Ishibuchi, Yiming Peng, Ke Shang
2019	—	`conf`	A Study of the Naïve Objective Space Normalization Method in MOEA/D. SSCI Linjun He, Yang Nan, Ke Shang, Hisao Ishibuchi
2019	—	`conf`	A dual-grid dual-phase strategy for constrained multi-objective optimization. SSCI Mengjun Ming, Rui Wang, Tao Zhang, Hisao Ishibuchi
2019	J	`jnl`	A niching indicator-based multi-modal many-objective optimizer. Swarm Evol. Comput. Ryoji Tanabe, Hisao Ishibuchi
2019	J	`jnl`	AI and CI [Editor's Remarks]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
2019	J	`jnl`	Cashless Society [Editor's Remarks]. IEEE Comput. Intell. Mag. 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`	Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multi-objective Optimization Algorithms. SSCI Weiyu Chen, Hisao Ishibuchi, Ke Shang
2019	—	`conf`	Evolutionary many-objective optimization. GECCO (Companion) Hisao Ishibuchi, Hiroyuki Sato
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	C	`conf`	Indicator-Based Weight Adaptation for Solving Many-Objective Optimization Problems. EMO Auraham Camacho, Gregorio Toscano Pulido, Ricardo Landa Becerra, Hisao Ishibuchi
2019	J	`jnl`	Joint Learning of Spectral Clustering Structure and Fuzzy Similarity Matrix of Data. IEEE Trans. Fuzzy Syst. Zekang Bian, Hisao Ishibuchi, Shitong Wang
2019	J	`jnl`	Last Editor's Remarks [Editor's Remarks]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
2019	—	`conf`	Multi-modal Multi-objective Optimization: Problem Analysis and Case Studies. SSCI Yiming Peng, Hisao Ishibuchi, Ke Shang
2019	A	`conf`	Non-elitist evolutionary multi-objective optimizers revisited. GECCO Ryoji Tanabe, Hisao Ishibuchi
2019	—	`conf`	Offline Automatic Parameter Tuning of MOEA/D Using Genetic Algorithm. SSCI Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2019	J	`jnl`	On Scalable Multiobjective Test Problems With Hardly Dominated Boundaries. IEEE Trans. Evol. Comput. Zhenkun Wang, Yew-Soon Ong, Hisao Ishibuchi
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	J	`jnl`	Prof. Lotfi A. Zadeh [Editor's Remarks]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
2019	B	`conf`	Regular Pareto Front Shape is not Realistic. CEC Hisao Ishibuchi, Linjun He, Ke Shang
2019	J	`jnl`	Review and analysis of three components of the differential evolution mutation operator in MOEA/D-DE. Soft Comput. Ryoji Tanabe, Hisao Ishibuchi
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`	Soft Computing Techniques for Dependable Cyber-Physical Systems. IEEE Access Muhammad Atif, Siddique Latif, Rizwan Ahmad, Adnan Khalid Kiani, Junaid Qadir, Adeel Baig, Hisao Ishibuchi, Waseem Abbas
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
2019	—	`conf`	Weak Convergence Detection-based Dynamic Reference Point Specification in SMS-EMOA. SSCI Weiduo Liao, Ke Shang, Lie Meng Pang, Hisao Ishibuchi
2018	—	`conf`	A Decomposition-Based Evolutionary Algorithm for Multi-modal Multi-objective Optimization. PPSN (1) Ryoji Tanabe, Hisao Ishibuchi
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	J	`jnl`	A Networked N-Player Trust Game and Its Evolutionary Dynamics. IEEE Trans. Evol. Comput. Manuel Chica, Raymond Chiong, Michael Kirley, Hisao Ishibuchi
2018	A	`conf`	A new R2 indicator for better hypervolume approximation. GECCO Ke Shang, Hisao Ishibuchi, Min-Ling Zhang, Yiping Liu
2018	J	`jnl`	An analysis of control parameters of MOEA/D under two different optimization scenarios. Appl. Soft Comput. Ryoji Tanabe, Hisao Ishibuchi
2018	—	`conf`	Analysis of evolutionary multi-tasking as an island model. GECCO (Companion) Ryuichi Hashimoto, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima
2018	J	`jnl`	CIS Sponsored Conferences in 2019 [Editor's Remarks]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
2018	J	`jnl`	Deep Takagi-Sugeno-Kang Fuzzy Classifier With Shared Linguistic Fuzzy Rules. IEEE Trans. Fuzzy Syst. Yuanpeng Zhang, Hisao Ishibuchi, Shitong Wang
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`	Evolutionary Many-Objective Optimization: A Comparative Study of the State-of-the-Art. IEEE Access Kaiwen Li, Rui Wang, Tao Zhang, Hisao Ishibuchi
2018	J	`jnl`	Father of Fuzzy Logic [Editor's Remarks]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
2018	J	`jnl`	Guest Editorial Evolutionary Many-Objective Optimization. IEEE Trans. Evol. Comput. Yaochu Jin, Kaisa Miettinen, Hisao Ishibuchi
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	J	`jnl`	IEEE CIM Survey Results [Editor's Remarks]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
2018	—	`conf`	Improving 1by1EA to Handle Various Shapes of Pareto Fronts. PPSN (1) Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang
2018	—	`conf`	Incorporation of a decision space diversity maintenance mechanism into MOEA/D for multi-modal multi-objective optimization. GECCO (Companion) Chenxu Hu, Hisao Ishibuchi
2018	J	`jnl`	Interactive Multiobjective Optimization: A Review of the State-of-the-Art. IEEE Access Bin Xin, Lu Chen, Jie Chen, Hisao Ishibuchi, Kaoru Hirota, Bo Liu
2018	J	`jnl`	Localized Weighted Sum Method for Many-Objective Optimization. IEEE Trans. Evol. Comput. Rui Wang, Zhongbao Zhou, Hisao Ishibuchi, Tianjun Liao, Tao Zhang
2018	J	`jnl`	Multi-clustering via evolutionary multi-objective optimization. Inf. Sci. Rui Wang, Shiming Lai, Guohua Wu, Lining Xing, Ling Wang, Hisao Ishibuchi
2018	B	`conf`	Multiobjective Evolutionary Data Mining for Performance Improvement of Evolutionary Multiobjective Optimization. SMC Naoki Masuyama, Yuki Tanigaki, Yusuke Nojima, Hisao Ishibuchi
2018	J	`jnl`	One Year in China [Editor's Remarks]. IEEE Comput. Intell. Mag. 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	J	`jnl`	Soft Computing Techniques for Dependable Cyber-Physical Systems. CoRR Muhammad Atif, Siddique Latif, Rizwan Ahmad, Adnan Khalid Kiani, Junaid Qadir, Adeel Baig, Hisao Ishibuchi, Waseem Abbas
2018	J	`jnl`	Stacked Blockwise Combination of Interpretable TSK Fuzzy Classifiers by Negative Correlation Learning. IEEE Trans. Fuzzy Syst. Ta Zhou, Hisao Ishibuchi, Shitong Wang
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
2018	—	`conf`	Weight vector grid with new archive update mechanism for multi-objective optimization. GECCO (Companion) Xizi Ni, Hisao Ishibuchi, Kanzhen Wan, Ke Shang, Chukun Zhuang
2017	J	`jnl`	After 30 Years of Work in Osaka [Editor's Remarks]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
2017	J	`jnl`	Benchmarking Multi- and Many-Objective Evolutionary Algorithms Under Two Optimization Scenarios. IEEE Access Ryoji Tanabe, Hisao Ishibuchi, Akira Oyama
2017	J	`jnl`	End of Second Term as Editor-in-Chief [Editor's Remarks]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
2017	J	`jnl`	Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results. CoRR Yuan Yuan, Yew-Soon Ong, Liang Feng, A. K. Qin, Abhishek Gupta, Bingshui Da, Qingfu Zhang, Kay Chen Tan, Yaochu Jin, Hisao Ishibuchi
2017	J	`jnl`	Guest Editorial Special Issue on Fuzzy Techniques in Financial Modeling and Simulation. IEEE Trans. Fuzzy Syst. Antoaneta Serguieva, Hisao Ishibuchi, Ronald R. Yager, Vasile Palade
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	J	`jnl`	Imbalanced TSK Fuzzy Classifier by Cross-Class Bayesian Fuzzy Clustering and Imbalance Learning. IEEE Trans. Syst. Man Cybern. Syst. Xiaoqing Gu, Fu-Lai Chung, Hisao Ishibuchi, Shitong Wang
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`	Multiple reference points MOEA/D for feature selection. GECCO (Companion) Bach Hoai Nguyen, Bing Xue, Hisao Ishibuchi, Peter Andreae, Mengjie Zhang
2017	J	`jnl`	New Journal, New Editor-in-Chief and New VP for Publications [Editor's Remarks]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
2017	J	`jnl`	On the effect of reference point in MOEA/D for multi-objective optimization. Appl. Soft Comput. Rui Wang, Jian Xiong, Hisao Ishibuchi, Guohua Wu, Tao Zhang
2017	J	`jnl`	On the use of two reference points in decomposition based multiobjective evolutionary algorithms. Swarm Evol. Comput. Zhenkun Wang, Qingfu Zhang, Hui Li, Hisao Ishibuchi, Licheng Jiao
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`	Smart World [Editor's Remarks]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
2017	J	`jnl`	Stacked-Structure-Based Hierarchical Takagi-Sugeno-Kang Fuzzy Classification Through Feature Augmentation. IEEE Trans. Emerg. Top. Comput. Intell. Ta Zhou, Hisao Ishibuchi, Shitong Wang
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	C	`conf`	A Variable Neighbourhood Search Algorithm with Compound Neighbourhoods for VRPTW. ICORES Binhui Chen, Rong Qu, Ruibin Bai, Hisao Ishibuchi
2016	—	`conf`	An Investigation on Compound Neighborhoods for VRPTW. ICORES (Selected Papers) Binhui Chen, Rong Qu, Ruibin Bai, Hisao Ishibuchi
2016	J	`jnl`	CIS Distinguished Lecturers Program Editor's Remarks. IEEE Comput. Intell. Mag. Hisao Ishibuchi
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	J	`jnl`	Enhanced Knowledge-Leverage-Based TSK Fuzzy System Modeling for Inductive Transfer Learning. ACM Trans. Intell. Syst. Technol. Zhaohong Deng, Yizhang Jiang, Hisao Ishibuchi, Kup-Sze Choi, Shitong Wang
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	J	`jnl`	IEEE Standards [Editor's Remarks]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
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	—	`conf`	On the effect of localized PBI method in MOEA/D for multi-objective optimization. SSCI Rui Wang, Hisao Ishibuchi, Yan Zhang, Xiaojun Zheng, Tao Zhang
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	J	`jnl`	Power of a Single Photo in the Big Data Era [Editor's Remarks]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
2016	J	`jnl`	Preference representation using Gaussian functions on a hyperplane in evolutionary multi-objective optimization. Soft Comput. Kaname Narukawa, Yu Setoguchi, Yuki Tanigaki, Markus Olhofer, Bernhard Sendhoff, Hisao Ishibuchi
2016	B	`conf`	Reference point specification in MOEA/D for multi-objective and many-objective problems. SMC Hisao Ishibuchi, Ken Doi, Yusuke Nojima
2016	J	`jnl`	Second Term as Editor-in-Chief [Editor's Remarks]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
2016	B	`conf`	Sensitivity of performance evaluation results by inverted generational distance to reference points. CEC Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima
2016	J	`jnl`	Transfer Prototype-Based Fuzzy Clustering. IEEE Trans. Fuzzy Syst. Zhaohong Deng, Yizhang Jiang, Fu-Lai Chung, Hisao Ishibuchi, Kup-Sze Choi, Shitong Wang
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	B	`ed.`	2015 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015, Istanbul, Turkey, August 2-5, 2015 FUZZ-IEEE Adnan Yazici, Nikhil R. Pal, Uzay Kaymak, Trevor Martin, Hisao Ishibuchi, Chin-Teng Lin, João M. C. Sousa, Bülent Tütmez
2015	—	`conf`	A Knee-Based EMO Algorithm with an Efficient Method to Update Mobile Reference Points. EMO (1) Yu Setoguchi, Kaname Narukawa, Hisao Ishibuchi
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	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	J	`jnl`	Multitask Coupled Logistic Regression and its Fast Implementation for Large Multitask Datasets. IEEE Trans. Cybern. Xin Gu, Fu-Lai Chung, Hisao Ishibuchi, Shitong Wang
2015	J	`jnl`	Multitask TSK Fuzzy System Modeling by Mining Intertask Common Hidden Structure. IEEE Trans. Cybern. Yizhang Jiang, Korris Fu-Lai Chung, Hisao Ishibuchi, Zhaohong Deng, Shitong Wang
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	J	`jnl`	Talking with Young Researchers [Editor's Remarks]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
2015	J	`jnl`	Top Three News Stories on IEEE CIM in 2014 [Editor's Remarks]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
2015	J	`jnl`	Traveling with My Laptop [Editor's Remarks]. IEEE Comput. Intell. Mag. 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
2015	J	`jnl`	WCCI 2006 and WCCI 2016 in Vancouver [Editor's Remarks]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
2014	B	`conf`	A comparison of multi-objective evolutionary algorithms for the ontology meta-matching problem. IEEE Congress on Evolutionary Computation Giovanni Acampora, Hisao Ishibuchi, Autilia Vitiello
2014	J	`jnl`	A multi-objective approach for solving the survivable network design problem with simultaneous unicast and anycast flows. Appl. Soft Comput. Huynh Thi Thanh Binh, Lam Thu Bui, Nguyen Sy Thai Ha, 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	J	`jnl`	Big Data Era [Editor's Remarks]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
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	J	`jnl`	Dm-KDE: dynamical kernel density estimation by sequences of KDE estimators with fixed number of components over data streams. Frontiers Comput. Sci. Min Xu, Hisao Ishibuchi, Xin Gu, Shitong Wang
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`	Evolutionary many-objective optimization using preference on hyperplane. GECCO (Companion) Kaname Narukawa, Yuki Tanigaki, 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	J	`jnl`	Message from the New Editor-in-Chief [Editor's Remarks]. IEEE Comput. Intell. Mag. 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	—	`ed.`	Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings SEAL Grant Dick, Will N. Browne, Peter A. Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang
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	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	J	`jnl`	Knowledge-Leverage-Based Fuzzy System and Its Modeling. IEEE Trans. Fuzzy Syst. Zhaohong Deng, Yizhang Jiang, Fu-Lai Chung, Hisao Ishibuchi, Shitong Wang
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	—	`ch.`	Multiobjective Memetic Algorithms. Handbook of Memetic Algorithms Andrzej Jaszkiewicz, Hisao Ishibuchi, Qingfu Zhang
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	—	`ed.`	Simulated Evolution and Learning - 9th International Conference, SEAL 2012, Hanoi, Vietnam, December 16-19, 2012. Proceedings SEAL Lam Thu Bui, Yew-Soon Ong, Nguyen Xuan Hoai, Hisao Ishibuchi, Ponnuthurai Nagaratnam Suganthan
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	—	`ed.`	10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 1: Main Conference ICMLA (1) Xue-wen Chen, Tharam S. Dillon, Hisao Ishibuchi, Jian Pei, Haixun Wang, M. Arif Wani
2011	—	`ed.`	10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 2: Special Sessions and Workshop ICMLA (2) Xue-wen Chen, Tharam S. Dillon, Hisao Ishibuchi, Jian Pei, Haixun Wang, M. Arif Wani
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	J	`jnl`	Guest editorial: Memetic Algorithms for Evolutionary Multi-Objective Optimization. Memetic Comput. Ke Tang, Kay Chen Tan, 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	J	`jnl`	IEEE CIS VP-Technical Activities Vision Statement [Society Briefs]. IEEE Comput. Intell. Mag. Hisao Ishibuchi
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	—	`conf`	09041 Working Group 4: MCDM and RIMO. Hybrid and Robust Approaches to Multiobjective Optimization Matthias Ehrgott, Jussi Hakanen, Hisao Ishibuchi, Andreas Löhne, Mariano Luque, Kaisa Miettinen, Wlodzimierz Ogryczak, Olexandr Romanko, Theodor J. Stewart, Andrzej P. Wierzbicki
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	—	`ch.`	Gene Expression Analysis by Fuzzy and Hybrid Fuzzy Classification. Fuzzy Systems in Bioinformatics and Computational Biology Gerald Schaefer, Tomoharu Nakashima, Hisao Ishibuchi
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	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 emerging trends in soft computing: memetic algorithms. Soft Comput. Yew-Soon Ong, Meng-Hiot Lim, Ferrante Neri, Hisao Ishibuchi
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`	A cost-based fuzzy system for pattern classification with class importance. Artif. Life Robotics Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi, Gerald Schaefer
2008	B	`conf`	A study on constructing fuzzy systems for high-level decision making in a car racing game. IEEE Congress on Evolutionary Computation Seiya Fujii, Tomoharu Nakashima, Hisao Ishibuchi
2008	B	`conf`	A study on constructing fuzzy systems for high-level decision making in a car racing game. FUZZ-IEEE Seiya Fujii, Tomoharu Nakashima, 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	—	`conf`	Evolutionary multiobjective optimization and multiobjective fuzzy system design. CSTST Hisao Ishibuchi
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	—	`conf`	Parallel Approaches for Multiobjective Optimization. Multiobjective Optimization El-Ghazali Talbi, Sanaz Mostaghim, Tatsuya Okabe, Hisao Ishibuchi, Günter Rudolph, Carlos A. Coello Coello
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	J	`jnl`	A genetic approach to the design of autonomous agents for futures trading. Artif. Life Robotics Tomoharu Nakashima, Yasuyuki Yokota, Yukio Shoji, Hisao Ishibuchi
2007	J	`jnl`	A weighted fuzzy classifier and its application to image processing tasks. Fuzzy Sets Syst. Tomoharu Nakashima, Gerald Schaefer, Yasuyuki Yokota, 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`	Breast Cancer Classification Using Statistical Features and Fuzzy Classification of Thermograms. FUZZ-IEEE Gerald Schaefer, Tomoharu Nakashima, Michal Zavisek, Yasuyuki Yokota, Ales Drastich, Hisao Ishibuchi
2007	B	`conf`	Choosing extreme parents for diversity improvement in evolutionary multiobjective optimization algorithms. SMC Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima
2007	J	`jnl`	Constructing Cost-Sensitive Fuzzy-Rule-Based Systems for Pattern Classification Problems. J. Adv. Comput. Intell. Intell. Informatics Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi, Gerald Schaefer, Ales Drastich, Michal Zavisek
2007	C	`conf`	Cost-Sensitive Fuzzy Classification for Medical Diagnosis. CIBCB Gerald Schaefer, Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi
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	—	`conf`	Evolutionary Multiobjective Design of Fuzzy Rule-Based Systems. FOCI Hisao Ishibuchi
2007	B	`conf`	Fuzzy Classification of Gene Expression Data. FUZZ-IEEE Gerald Schaefer, Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi
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`	Introducing Class-Based Classification Priority in Fuzzy Rule-Based Classification Systems. FUZZ-IEEE Tomoharu Nakashima, Yasuyuki Yokota, Gerald Schaefer, Hisao Ishibuchi
2007	B	`conf`	Iterative approach to indicator-based multiobjective optimization. IEEE Congress on Evolutionary Computation Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima
2007	—	`conf`	Mimicking Dribble Trajectories by Neural Networks for RoboCup Soccer Simulation. ISIC Tomoharu Nakashima, Hisao Ishibuchi
2007	B	`conf`	Multiobjective Genetic Fuzzy Systems: Review and Future Research Directions. FUZZ-IEEE Hisao Ishibuchi
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	J	`jnl`	Special Issue on Memetic Algorithms. IEEE Trans. Syst. Man Cybern. Part B Yew-Soon Ong, Natalio Krasnogor, Hisao Ishibuchi
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`	A Cost-based Fuzzy Rule-based System for Pattern Classification Problems. FUZZ-IEEE Tomoharu Nakashima, Yasuyuki Yokota, Gerald Schaefer, Hisao Ishibuchi
2006	J	`jnl`	An approach to fuzzy default reasoning for function approximation. Soft Comput. Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima
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	B	`conf`	Effects of Spatial Structures on Evolution of Iterated Prisoner's Dilemma Game Strategies in Single-Dimensional and Two-Dimensional Grids. IEEE Congress on Evolutionary Computation Hisao Ishibuchi, Naoki Namikawa, Ken Ohara
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	B	`conf`	Examining the Effect of Cost Assignment on the Performance of Cost-Based Classification Systems. SMC Tomoharu Nakashima, Yasuyuki Yokota, Gerald Schaefer, Hisao Ishibuchi
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	B	`conf`	Robust Evaluation of RoboCup Soccer Strategies by Using Match History. IEEE Congress on Evolutionary Computation Tomoharu Nakashima, Masahiro Takatani, Naoki Namikawa, Hisao Ishibuchi, Manabu Nii
2006	—	`conf`	The Effect of Using Match History on the Evolution of RoboCup Soccer Team Strategies. CIG Tomoharu Nakashima, Hisao Ishibuchi, Masahiro Takatani, Manabu Nii
2005	—	`ch.`	A Fuzzy Rule-Based Trading Agent: Analysis and Knowledge Extraction. Computational Intelligence for Modelling and Prediction Tomoharu Nakashima, Takanobu Ariyama, Hiroko Kitano, Hisao Ishibuchi
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`	Behavior Analysis of Futures Trading Agents Using Fuzzy Rule Extraction. SMC Hiroko Kitano, Tomoharu Nakashima, Hisao Ishibuchi
2005	—	`book`	Classification and modeling with linguistic information granules - advanced approaches to linguistic data mining. Hisao Ishibuchi, Tomoharu Nakashima, Manabu Nii
2005	C	`conf`	Comparison Between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems. EMO Hisao Ishibuchi, Shiori Kaige, Kaname Narukawa
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	A	`conf`	Comparison of evolutionary multiobjective optimization with rference solution-based single-objective approach. GECCO Hisao Ishibuchi, Kaname Narukawa
2005	—	`conf`	Developing a Goal Keeper for Simulated RoboCup Soccer and its Performance Evaluation. AMiRE Satoshi Yokoyama, Naoki Namikawa, Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi
2005	—	`conf`	Effects of Crossover Operations on the Performance of EMO Algorithms. Practical Approaches to Multi-Objective Optimization Hisao Ishibuchi
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`	Evolution of cooperative behavior in the iterated prisoner's dilemma under random pairing in game playing. Congress on Evolutionary Computation Hisao Ishibuchi, Naoki Namikawa
2005	J	`jnl`	Evolution of iterated prisoner's dilemma game strategies in structured demes under random pairing in game playing. IEEE Trans. Evol. Comput. Hisao Ishibuchi, Naoki Namikawa
2005	J	`jnl`	Hybridization of fuzzy GBML approaches for pattern classification problems. IEEE Trans. Syst. Man Cybern. Part B Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima
2005	—	`conf`	Learning Fuzzy If-Then Rules for Pattern Classi cation with Weighted Training Patterns. EUSFLAT Conf. Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi, Gerald Schaefer
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
2005	C	`conf`	Performance Evaluation of an Evolutionary Method for RoboCup Soccer Strategies. RoboCup Tomoharu Nakashima, Masahiro Takatani, Masayo Udo, Hisao Ishibuchi, Manabu Nii
2005	C	`conf`	Recombination of Similar Parents in EMO Algorithms. EMO Hisao Ishibuchi, Kaname Narukawa
2005	J	`jnl`	Rule Weight Specification in Fuzzy Rule-Based Classification Systems. IEEE Trans. Fuzzy Syst. Hisao Ishibuchi, Takashi Yamamoto
2005	C	`conf`	Spatial Implementation of Evolutionary Multiobjective Algorithms with Partial Lamarckian Repair for Multiobjective Knapsack Problems. HIS Hisao Ishibuchi, Kaname Narukawa
2005	—	`ch.`	Using Boosting Techniques to Improve the Performance of Fuzzy Classification Systems. Classification and Clustering for Knowledge Discovery Tomoharu Nakashima, Hisao Ishibuchi
2004	B	`conf`	A Study on Weighting Training Patterns for Fuzzy Rule-Based Classification Systems. MDAI Tomoharu Nakashima, Hisao Ishibuchi, Andrzej Bargiela
2004	—	`conf`	An evolutionary approach for strategy learning in RoboCup soccer. SMC (2) Tomoharu Nakashima, Masahiro Takatani, Masayo Udo, Hisao Ishibuchi
2004	J	`jnl`	Book Review: "Genetic fuzzy systems: evolutionary tuning and learning of fuzzy knowledge bases" by Oscar Cordon, Francisco Herrera, Frank Hoffmann and Luis Magdalena; World Scientific, Singapore, New Jersey, London, Hong Kong, 2001, 462pp., ISBN 981-02-4016-3. Fuzzy Sets Syst. Hisao Ishibuchi
2004	J	`jnl`	Comparison of Heuristic Criteria for Fuzzy Rule Selection in Classification Problems. Fuzzy Optim. Decis. Mak. Hisao Ishibuchi, Takashi Yamamoto
2004	C	`conf`	Comparison of Local Search Implementation Schemes in Hybrid Evolutionary Multiobjective Optimization Algorithms. HIS Hisao Ishibuchi, Kaname Narukawa
2004	—	`conf`	Constructing fuzzy classification systems from weighted training patterns. SMC (3) Tomoharu Nakashima, Hisao Ishibuchi, Andrzej Bargiela
2004	—	`conf`	Development of a fuzzy position controller for an autonomously trading agent. SMC (3) Tomoharu Nakashima, Hiroko Kitano, Hisao Ishibuchi
2004	A	`conf`	Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems. PPSN Hisao Ishibuchi, Satoshi Namba
2004	J	`jnl`	Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining. Fuzzy Sets Syst. Hisao Ishibuchi, Takashi Yamamoto
2004	B	`conf`	Heuristic extraction of fuzzy classification rules using data mining techniques: an empirical study on benchmark data sets. FUZZ-IEEE Hisao Ishibuchi, Takashi Yamamoto
2004	J	`jnl`	Implementation of Simple Multiobjective Memetic Algorithms and Its Applications to Knapsack Problems. Int. J. Hybrid Intell. Syst. Hisao Ishibuchi, Shiori Kaige
2004	—	`conf`	Mating Scheme for Controlling the Diversity-Convergence Balance for Multiobjective Optimization. GECCO (1) Hisao Ishibuchi, Youhei Shibata
2004	—	`conf`	Multi-objective evolutionary design of fuzzy rule-based systems. SMC (3) Hisao Ishibuchi, Takashi Yamamoto
2004	B	`conf`	Performance evaluation of simple multiobjective genetic local search algorithms on multiobjective 0/1 knapsack problems. IEEE Congress on Evolutionary Computation Hisao Ishibuchi, Kiyoshi Narukawa
2004	—	`conf`	Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization. GECCO (1) Hisao Ishibuchi, Kaname Narukawa
2003	C	`conf`	A Fuzzy Reinforcement Learning for a Ball Interception Problem. RoboCup Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi
2003	A	`conf`	A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization. GECCO Hisao Ishibuchi, Youhei Shibata
2003	C	`conf`	A Simple but Powerful Multiobjective Hybrid Genetic Algorithm. HIS Hisao Ishibuchi, Shiori Kaige
2003	B	`conf`	A boosting algorithm with subset selection of training patterns. FUZZ-IEEE Tomoharu Nakashima, Gaku Nakai, Hisao Ishibuchi
2003	—	`conf`	Acquiring the positioning skill in a soccer game using a fuzzy Q-learning. CIRA Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi
2003	C	`conf`	An Empirical Study on the Effect of Mating Restriction on the Search Ability of EMO Algorithms. EMO Hisao Ishibuchi, Youhei Shibata
2003	J	`jnl`	Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling. IEEE Trans. Evol. Comput. Hisao Ishibuchi, Tadashi Yoshida, Tadahiko Murata
2003	B	`conf`	Constructing fuzzy ensembles for pattern classification problems. SMC Tomoham Nakashima, Gaku Nakai, Hisao Ishibuchi
2003	—	`conf`	Credit assignment by fuzzy rule-based systems in fuzzy classifier ensembles. CIRA Tomoharu Nakashima, Gaku Nakai, Hisao Ishibuchi
2003	B	`conf`	Deriving fuzzy discretization from interval discretization. FUZZ-IEEE Hisao Ishibuchi, Takashi Yamamoto
2003	C	`conf`	Effects of Three-Objective Genetic Rule Selection on the Generalization Ability of Fuzzy Rule-Based Systems. EMO Hisao Ishibuchi, Takashi Yamamoto
2003	B	`conf`	Effects of repair procedures on the performance of EMO algorithms for multiobjective 0/1 knapsack problems. IEEE Congress on Evolutionary Computation Hisao Ishibuchi, Shiori Kaige
2003	A	`conf`	Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers. GECCO Hisao Ishibuchi, Takashi Yamamoto
2003	B	`conf`	Extracting linguistic knowledge and its use as decision support in a virtual futures market. FUZZ-IEEE Tomoharu Nakashima, Takanobu Ariyama, Hisao Ishibuchi
2003	A	`conf`	Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms. GECCO Tadahiko Murata, Shiori Kaige, Hisao Ishibuchi
2003	B	`conf`	Implementation of fuzzy Q-learning for a soccer agent. FUZZ-IEEE Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi
2003	—	`ch.`	Interpretability Issues in Fuzzy Genetics-Based Machine Learning for Linguistic Modelling. Modelling with Words Hisao Ishibuchi, Takashi Yamamoto
2003	B	`conf`	Knowledge acquisition for a soccer agent by fuzzy reinforcement learning. SMC Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi
2003	J	`jnl`	Learning fuzzy rules from iterative execution of games. Fuzzy Sets Syst. Hisao Ishibuchi, Ryoji Sakamoto, Tomoharu Nakashima
2003	C	`conf`	Modification of Local Search Directions for Non-dominated Solutions in CellularMultiobjective Genetic Algorithms forPattern Classification Problems. EMO Tadahiko Murata, Hiroyuki Nozawa, Hisao Ishibuchi, Mitsuo Gen
2003	—	`conf`	Performance evaluation of combined cellular genetic algorithms for function optimization problems. CIRA Tomoharu Nakashima, Takanobu Ariyama, Takanori Yoshida, Hisao Ishibuchi
2003	B	`conf`	Performance evaluation of memetic EMO algorithms using dominance relation-based replacement rules on MOO test problems. SMC Shiori Kaige, Tadahiko Murata, Hisao Ishibuchi
2003	B	`conf`	Performance evaluation of three-objective genetic rule selection. FUZZ-IEEE Takashi Yamamoto, Hisao Ishibuchi
2002	—	`conf`	A Boosting Algorithm of Fuzzy Rule-Based Systems for Pattern Classification Problems. FSKD Tomoharu Nakashima, Gaku Nakai, Hisao Ishibuchi
2002	B	`conf`	A fuzzy rule-based system for ensembling classification systems. FUZZ-IEEE Tomoharu Nakashima, Gaku Nakai, Hisao Ishibuchi
2002	A	`conf`	Balance Between Genetic Search And Local Search In Hybrid Evolutionary Multi-criterion Optimization Algorithms. GECCO Hisao Ishibuchi, Tadashi Yoshida, Tadahiko Murata
2002	C	`conf`	Comparison of Fuzzy Rule Selection Criteria for Classification Problems. HIS Hisao Ishibuchi, Takashi Yamamoto
2002	B	`conf`	Comparison of heuristic rule weight specification methods. FUZZ-IEEE Hisao Ishibuchi, Takashi Yamamoto
2002	B	`conf`	Effect of local search on the performance of cellular multiobjective genetic algorithms for designing fuzzy rule-based classification systems. IEEE Congress on Evolutionary Computation Tadahiko Murata, Hiroyuki Nozawa, Yasuhiro Tsujimura, Mitsuo Gen, Hisao Ishibuchi
2002	A	`conf`	Fuzzy Rule Selection By Data Mining Criteria And Genetic Algorithms. GECCO Hisao Ishibuchi, Takashi Yamamoto
2002	C	`conf`	Hybrid Evolutionary Multi-Objective Optimization Algorithms. HIS Hisao Ishibuchi, Tadashi Yoshida
2002	B	`conf`	Improving the performance of fuzzy classification systems by membership function learning and feature selection. FUZZ-IEEE Tomoharu Nakashima, Gaku Nakai, Hisao Ishibuchi
2002	—	`conf`	On-Line Learning of a Fuzzy System for a Future Market. FSKD Tomoharu Nakashima, Takanobu Ariyama, Hisao Ishibuchi
2002	B	`conf`	Performance evaluation of fuzzy partitions with different fuzzification grades. FUZZ-IEEE Hisao Ishibuchi, Takashi Yamamoto
2002	B	`conf`	Selection of initial solutions for local search in multiobjective genetic local search. IEEE Congress on Evolutionary Computation Hisao Ishibuchi, Tadsahi Yoshida, Tadahiko Murata
2002	B	`conf`	Successive adaptation of fuzzy rule-based systems in a multi-agent model. FUZZ-IEEE Hisao Ishibuchi, Teppei Seguchi
2001	B	`conf`	Adaption of Fuzzy Rule-Based Systems for Game Playing . FUZZ-IEEE Hisao Ishibuchi, Ryoji Sakamoto, Tomoharu Nakashima
2001	B	`conf`	Determination of Rule Weights of Fuzzy Association Rules. FUZZ-IEEE Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima
2001	B	`conf`	Effect of localized selection on the evolution of unplanned coordination in a market selection game. CEC Hisao Ishibuchi, Ryoji Sakamoto, Tomoharu Nakashima
2001	J	`jnl`	Effect of rule weights in fuzzy rule-based classification systems. IEEE Trans. Fuzzy Syst. Hisao Ishibuchi, Tomoharu Nakashima
2001	J	`jnl`	Evolution of unplanned coordination in a market selection game. IEEE Trans. Evol. Comput. Hisao Ishibuchi, Tomoharu Nakashima, Ryoji Sakamoto
2001	A*	`conf`	Fuzzy Data Mining: Effect of Fuzzy Discretization. ICDM Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima
2001	J	`jnl`	Fuzzy regression using asymmetric fuzzy coefficients and fuzzified neural networks. Fuzzy Sets Syst. Hisao Ishibuchi, Manabu Nii
2001	B	`conf`	Linguistic Modelling for Function Approximation Using Grid Partitions. FUZZ-IEEE Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima
2001	C	`conf`	Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data. EMO Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata
2001	J	`jnl`	Numerical analysis of the learning of fuzzified neural networks from fuzzy if-then rules. Fuzzy Sets Syst. Hisao Ishibuchi, Manabu Nii
2001	C	`conf`	Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms. EMO Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
2001	J	`jnl`	Three-objective genetics-based machine learning for linguistic rule extraction. Inf. Sci. Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata
2001	B	`conf`	Three-objective optimization in linguistic function approximation. CEC Hisao Ishibuchi, Tomoharu Nakashima
2000	B	`conf`	A hybrid fuzzy GBML algorithm for designing compact fuzzy rule-based classification systems. FUZZ-IEEE Hisao Ishibuchi, Tomoharu Nakashima, Tetsuya Kuroda
2000	A	`conf`	Cellular Genetic Local Search for Multi-Objective Optimization. GECCO Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
2000	B	`conf`	Effect of rule weights in fuzzy rule-based classification systems. FUZZ-IEEE Hisao Ishibuchi, Tomoharu Nakashima
2000	A	`conf`	Evolution of Strategies in Spatial IPD Games with Structure Demes. GECCO Hisao Ishibuchi, Tatsuo Nakari, Tomoharu Nakashima
2000	A	`conf`	Linguistic Rule Extraction by Genetics-Based Machine Learning. GECCO Hisao Ishibuchi, Tomoharu Nakashima
2000	A	`conf`	Multi-objective pattern and feature selection by a genetic algorithm. GECCO Hisao Ishibuchi, Tomoharu Nakashima
2000	J	`jnl`	Neural networks for soft decision making. Fuzzy Sets Syst. Hisao Ishibuchi, Manabu Nii
2000	J	`jnl`	Pattern and Feature Selection by Genetic Algorithms in Nearest Neighbor Classification. J. Adv. Comput. Intell. Intell. Informatics Hisao Ishibuchi, Tomoharu Nakashima
1999	B	`conf`	Decreasing excess fuzziness in fuzzy outputs from neural networks for linguistic rule extraction. IJCNN Hisao Ishibuchi, Manabu Nii, Kimiko Tanaka
1999	B	`conf`	Designing compact fuzzy rule-based systems with default hierarchies for linguistic approximation. CEC Hisao Ishibuchi, Tomoharu Nakashima
1999	B	`conf`	Evolution of neighborly relations in a spatial IPD game with cooperative players and hostile players. CEC Hisao Ishibuchi, Tatsuo Nakari, Tomoham Nakashima
1999	J	`jnl`	Improving the performance of fuzzy classifier systems for pattern classification problems with continuous attributes. IEEE Trans. Ind. Electron. Hisao Ishibuchi, Tomoharu Nakashima
1999	J	`jnl`	Linguistic Rule Extraction from Numerical Data for High-dimensional Classification Problems. J. Adv. Comput. Intell. Intell. Informatics Hisao Ishibuchi, Tadahiko Murata, Tomoharu Nakashima
1999	J	`jnl`	Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems. IEEE Trans. Syst. Man Cybern. Part B Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata
1999	J	`jnl`	Voting in fuzzy rule-based systems for pattern classification problems. Fuzzy Sets Syst. Hisao Ishibuchi, Tomoharu Nakashima, Takehiko Morisawa
1998	J	`jnl`	A multi-objective genetic local search algorithm and its application to flowshop scheduling. IEEE Trans. Syst. Man Cybern. Part C Hisao Ishibuchi, Tadahiko Murata
1998	—	`conf`	A study on generating fuzzy classification rules using histograms. KES (1) Hisao Ishibuchi, Tomoharu Nakashima
1998	—	`conf`	Evolution of Reference Sets in Nearest Neighbor Classification. SEAL Hisao Ishibuchi, Tomoharu Nakashima
1998	—	`conf`	Fuzzy Partition and Input Selection by Genetic Algorithms for Designing Fuzzy Rule-Based Classification Systems. Evolutionary Programming Tadahiko Murata, Hisao Ishibuchi, Tomoharu Nakashima, Mitsuo Gen
1998	—	`conf`	Fuzzy arithmetic in neural networks for linguistic rule extraction. KES (2) Manabu Nii, Hisao Ishibuchi
1998	—	`ch.`	Fuzzy neural networks techniques and their applications. Fuzzy logic and expert systems applications Hisao Ishibuchi, Manabu Nii
1998	—	`conf`	Improving the generalization ability of neural networks by interval arithmetic. KES (1) Hisao Ishibuchi, Manabu Nii
1998	—	`conf`	Learning from Linguistic Rules and Rule Extraction for Function Approximation by Neural Networks. SEAL Kimiko Tanaka, Manabu Nii, Hisao Ishibuchi
1998	—	`conf`	Neighborhood structures for genetic local search algorithms. KES (2) Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
1997	J	`jnl`	A simple but powerful heuristic method for generating fuzzy rules from numerical data. Fuzzy Sets Syst. Ken Nozaki, Hisao Ishibuchi, Hideo Tanaka
1997	—	`conf`	Effectiveness of Genetic Local Search Algorithms. ICGA Hisao Ishibuchi, Tadahiko Murata, Shigemitsu Tomioka
1997	—	`conf`	Linguistic rule extraction from neural networks and genetic-algorithm-based rule selection. ICNN Hisao Ishibuchi, Manabu Nii, Tadahiko Murata
1997	—	`conf`	Possibilistic fuzzy classification using neural networks. ICNN Hisao Ishibuchi, Manabu Nii
1997	J	`jnl`	Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems. Fuzzy Sets Syst. Hisao Ishibuchi, Tadahiko Murata, I. Burhan Türksen
1996	J	`jnl`	Adaptive fuzzy rule-based classification systems. IEEE Trans. Fuzzy Syst. Ken Nozaki, Hisao Ishibuchi, Hideo Tanaka
1996	—	`conf`	Fuzzy regression analysis by neural networks with non-symmetric fuzzy number weights. ICNN Hisao Ishibuchi, Manabu Nii
1996	—	`conf`	Generating fuzzy if-then rules from trained neural networks: linguistic analysis of neural networks. ICNN Hisao Ishibuchi, Manabu Nii
1996	—	`conf`	Genetic-Algorithm-Based Approaches to the Design of Fuzzy Systems for Multi-Dimensional Pattern Classification Problems. International Conference on Evolutionary Computation Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata
1996	—	`conf`	Multi-Objective Genetic Local Search Algorithm. International Conference on Evolutionary Computation Hisao Ishibuchi, Tadahiko Murata
1996	—	`conf`	Positive and Negative Combination Effects of Crossover and Mutation Operators in Sequencing Problems. International Conference on Evolutionary Computation Tadahiko Murata, Hisao Ishibuchi
1995	—	`conf`	A Fuzzy Classifier System That Generates Linguistic Rules for Pattern Classification Problems. IEEE/Nagoya-University World Wisepersons Workshop Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata
1995	—	`conf`	Classification of fuzzy input patterns by neural networks. ICNN Hisao Ishibuchi, Kouichi Morioka
1995	J	`jnl`	Learning by fuzzified neural networks. Int. J. Approx. Reason. Hisao Ishibuchi, Kouichi Morioka, I. Burhan Türksen
1995	J	`jnl`	Preface: 3rd international conference on fuzzy logic, neural nets, and soft computing. Int. J. Approx. Reason. Hisao Ishibuchi
1995	J	`jnl`	Selecting fuzzy if-then rules for classification problems using genetic algorithms. IEEE Trans. Fuzzy Syst. Hisao Ishibuchi, Ken Nozaki, Naohisa Yamamoto, Hideo Tanaka
1994	J	`jnl`	Interpolation of fuzzy if-then rules by neural networks. Int. J. Approx. Reason. Hisao Ishibuchi, Hideo Tanaka, Hidehiko Okada
1994	—	`conf`	Performance Evaluation of Genetic Algorithms for Flowshop Scheduling Problems. International Conference on Evolutionary Computation Tadahiko Murata, Hisao Ishibuchi
1993	J	`jnl`	Evidence theory of exponential possibility distributions. Int. J. Approx. Reason. Hideo Tanaka, Hisao Ishibuchi
1993	—	`conf`	Fuzzy neural networks with fuzzy weights and fuzzy biases. ICNN Hisao Ishibuchi, Hideo Tanaka, Hidehiko Okada
1993	J	`jnl`	Neural networks that learn from fuzzy if-then rules. IEEE Trans. Fuzzy Syst. Hisao Ishibuchi, Ryosuke Fujioka, Hideo Tanaka
1993	—	`ch.`	Simulated annealing with modified generation mechanism for flow shop scheduling problems. Robotics, Mechatronics and Manufacturing Systems Hisao Ishibuchi, S. Misaki, Hideo Tanaka
1992	—	`ch.`	Fuzzy Inference System Based on Rough Sets and Its Application to Medical Diagnosis. Intelligent Decision Support Hideo Tanaka, Hisao Ishibuchi, Takeo Shigenaga