| 2026 | GECCO | Weight Vector Specification in MOEA/D to Find Balanced and Promising Solutions for Multi-Criteria Decision Making. | Lie Meng Pang, Michael T. M. Emmerich, Hisao Ishibuchi |
| 2026 | GECCO | Fair Performance Comparison of Evolutionary Multi-Objective Algorithms. | Lie Meng Pang, Hisao Ishibuchi |
| 2026 | GECCO | Are NSGA-III Implementations Really Stable? A Cross-Platform Analysis of Anomalous Behaviors of NSGA-III. | Kenneth Zhang, Lie Meng Pang, Hisao Ishibuchi |
| 2026 | PPSN | Performance Indicators for Anytime Performance Analysis of Multi-objective Evolutionary Algorithms. | Lie Meng Pang, Hisao Ishibuchi |
| 2026 | PPSN | Toward a Better NSGA-III: Addressing Consistency, Stability, and Uniformity. | Kenneth Zhang, Lie Meng Pang, Hisao Ishibuchi |
| 2025 | AAAI | Multi-Objective Molecular Design Through Learning Latent Pareto Set. | Yiping Liu, Jiahao Yang, Xuanbai Ren, Xinyi Zhang, Yuansheng Liu, Bosheng Song, Xiangxiang Zeng, Hisao Ishibuchi |
| 2025 | CEC | Shape of Feasible Regions of Real-World Multi-Objective Problems. | Yang Nan, Hisao Ishibuchi, Tianye Shu |
| 2025 | CEC | Effects of Unbounded External Archive on the Performance of Constrained Multiobjective Evolutionary Algorithms. | Yanyu Chen, Linfeng Zhu, Lie Meng Pang, Hisao Ishibuchi |
| 2025 | CEC | Population Initialization for Evolutionary Multi-objective Optimization: A Short Review. | Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2025 | CEC | Optimal Distribution of Solutions for Crowding Distance on Linear Pareto Fronts of Two-Objective Optimization Problems. | Hisao Ishibuchi, Lie Meng Pang |
| 2025 | CEC | Large Language Model-Based Benchmarking Experiment Settings for Evolutionary Multi-Objective Optimization. | Lie Meng Pang, Hisao Ishibuchi |
| 2025 | CEC | On the Quality of Large Non-dominated Archives. | Ke Shang, Tianye Shu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi |
| 2025 | EMO | Visual Explanations of Some Problematic Search Behaviors of Frequently-Used EMO Algorithms. | Hisao Ishibuchi, Lie Meng Pang |
| 2025 | EMO | Performance Analysis of Constrained Evolutionary Multi-objective Optimization Algorithms on Artificial and Real-World Problems. | Yang Nan, Hisao Ishibuchi, Lie Meng Pang |
| 2025 | EMO | Small Population Size is Enough in Many Cases with External Archives. | Yang Nan, Hisao Ishibuchi, Lie Meng Pang |
| 2025 | EMO | Enhancing NSGA-II with a Knee Point for Constrained Multi-objective Optimization. | Lie Meng Pang, Hisao Ishibuchi, Yang Nan |
| 2025 | EMO | Numerical Analysis of Pareto Set Modeling. | Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang |
| 2025 | FOGA | 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. | Hisao Ishibuchi, Yang Nan, Lie Meng Pang |
| 2025 | FOGA | Scalable Multi-Modal Multi-Objective Test Problems with Respect to Decision Space Dimensionality and Pareto Set Dimensionality: High-Dimensional Manhattan Distance Minimization Problems. | Hisao Ishibuchi, Tianye Shu, Lie Meng Pang |
| 2025 | GECCO | R2 Indicator Analysis using the Optimal Distributions of Solutions for R2 and Other Indicators. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang |
| 2025 | GECCO | Influence of Subpopulation on the Performance of Coevolutionary Algorithms for Constrained Multiobjective Optimization Problems. | Yanyu Chen, Hisao Ishibuchi, Yang Nan |
| 2025 | GECCO | When to Truncate the Archive? On the Effect of the Truncation Frequency in Multi-Objective Optimisation. | Zhiji Cui, Zimin Liang, Lie Meng Pang, Hisao Ishibuchi, Miqing Li |
| 2025 | GECCO | Performance Comparison between Evolutionary Algorithms and Linear Programming-based Relaxation Methods for Multi-Objective Knapsack Problems. | Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2025 | GECCO | Fair Performance Comparison of Evolutionary Multi-Objective Algorithms. | Hisao Ishibuchi, Lie Meng Pang |
| 2025 | GECCO | Search Behavior Analysis of NSGA-III: Dominance-based and Decomposition-based Multi-objective Evolutionary Algorithm. | Hisao Ishibuchi, Lie Meng Pang, Cheng Gong |
| 2025 | GECCO | Evolutionary Co-Optimization of Rule Shape and Fuzziness in Rule-Based Machine Learning. | Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata |
| 2025 | GECCO | Evidential Fuzzy Rule-Based Machine Learning to Quantify Classification Uncertainty. | Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata |
| 2025 | GECCO | Impact of Reformulation for the Real-World Constrained Multi-Objective Problems on the Performance of Evolutionary Algorithms. | Jinglin Wang, Hongyu Zhu, Yang Nan, Hisao Ishibuchi |
| 2025 | IJCAI | X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning. | Hiroki Shiraishi, Hisao Ishibuchi, Masaya Nakata |
| 2025 | IJCNN | Using Momentum Moves as Training Data for Neural Network-Based Offspring Generation in Evolutionary Multi-Objective Optimization. | Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2025 | IJCNN | An Inverse Model-based Solution Generation Method for Evolutionary Multi-objective Optimization Algorithms. | Tianye Shu, Hisao Ishibuchi, Lie Meng Pang |
| 2025 | IJCNN | Investigation of Training-free Metrics for Multi-objective Neural Architecture Search. | Tianye Shu, Hisao Ishibuchi, Andy Song, Yang Nan, Lie Meng Pang |
| 2025 | PRICAI | Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems. | Ke Shang, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi |
| 2025 | SMC | How to Choose Solutions for Applying Momentum in Evolutionary Multi-Objective Optimization. | Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2025 | SMC | Mutation Probability Specification in Large-Scale Evolutionary Multi-Objective Optimization Algorithms. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Longcan Chen |
| 2025 | SMC | Dual Population-Based Objective Modification for Enhancing NSGA-II in Many-Objective Optimization. | Lie Meng Pang, Hisao Ishibuchi, Hemant Kumar Signh |
| 2025 | SMC | Visual Tradeoff Analysis between Decision Space Diversity and Objective Space Diversity: Use of DTLZ Test Problems as Multi-Modal Multi-Objective Optimization Problems. | Lie Meng Pang, Tianye Shu, Hisao Ishibuchi |
| 2024 | CEC | Performance Evaluation of Evolutionary Multi-Objective Algorithms Using Real-World Problems with an Additional Total Constraint Violation Objective. | Yang Nan, Hisao Ishibuchi, Tianye Shu |
| 2024 | CEC | Interactive Final Solution Selection in Multi-Objective Optimization. | Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | CEC | Analysis of Algorithm Comparison Results on Real-World Multi-Objective Problems. | Lie Meng Pang, Hisao Ishibuchi, Ke Shang |
| 2024 | CEC | Last-X-Generation Archiving Strategy for Multi-Objective Evolutionary Algorithms. | Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi |
| 2024 | GECCO | Analysis of Real-World Constrained Multi-Objective Problems and Performance Comparison of Multi-Objective Algorithms. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang |
| 2024 | GECCO | Gradient-Guided Local Search for IGD/IGDPlus Subset Selection. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang |
| 2024 | GECCO | Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum. | Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | GECCO | Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems. | Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | GECCO | Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations. | Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | GECCO | New Framework of Multi-Objective Evolutionary Algorithms with Unbounded External Archive. | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2024 | GECCO | Evolutionary Preference Sampling for Pareto Set Learning. | Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi |
| 2024 | IJCAI | Learning Pareto Set for Multi-Objective Continuous Robot Control. | Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi |
| 2024 | IJCNN | A Multi-objective Perspective Towards Improving Meta-Generalization. | Weiduo Liao, Ying Wei, Qirui Sun, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | IJCNN | Data-Driven Preference Sampling for Pareto Front Learning. | Rongguang Ye, Lei Chen, Weiduo Liao, Jinyuan Zhang, Hisao Ishibuchi |
| 2024 | PPSN | LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset Selection. | Cheng Gong, Ping Guo, Tianye Shu, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | PPSN | Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithms. | Cheng Gong, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | PPSN | Reliability of Indicator-Based Comparison Results of Evolutionary Multi-objective Algorithms. | Lie Meng Pang, Hisao Ishibuchi, Yang Nan, Cheng Gong |
| 2024 | PPSN | A Variable-Length Fuzzy Set Representation for Learning Fuzzy-Classifier Systems. | Hiroki Shiraishi, Rongguang Ye, Hisao Ishibuchi, Masaya Nakata |
| 2024 | PPSN | An Unbounded Archive-Based Inverse Model in Evolutionary Multi-objective Optimization. | Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi |
| 2024 | PPSN | Hypervolume Gradient Subspace Approximation. | Kenneth Zhang, Angel E. Rodriguez-Fernandez, Ke Shang, Hisao Ishibuchi, Oliver Schtze |
| 2024 | SMC | On the use of the Total Constraint Violation as an Additional Objective in Evolutionary Multi-Objective Optimization. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Cheng Gong |
| 2024 | SMC | GHVC-Net: Hypervolume Contribution Approximation Based on Graph Neural Network. | Guotong Wu, Yang Nan, Ke Shang, Hisao Ishibuchi |
| 2024 | SMC | Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization. | Rongguang Ye, Longcan Chen, Wei-Bin Kou, Jinyuan Zhang, Hisao Ishibuchi |
| 2023 | CEC | Effects of External Archives on the Performance of Multi-Objective Evolutionary Algorithms on Real-World Problems. | Yang Nan, Tianye Shu, Hisao Ishibuchi |
| 2023 | EMO | Preference-Based Nonlinear Normalization for Multiobjective Optimization. | Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan |
| 2023 | EMO | Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems. | Hisao Ishibuchi, Yang Nan, Lie Meng Pang |
| 2023 | EMO | Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang |
| 2023 | EMO | Partially Degenerate Multi-objective Test Problems. | Lie Meng Pang, Yang Nan, Hisao Ishibuchi |
| 2023 | EMO | An Improved Fuzzy Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization Problems with Complicated Pareto Sets. | Jinyuan Zhang, Linjun He, Hisao Ishibuchi |
| 2023 | GECCO | Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous UAV Navigation in Large-Scale Complex Environments. | Guangyan An, Ziyu Wu, Zhilong Shen, Ke Shang, Hisao Ishibuchi |
| 2023 | GECCO | Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization. | Cheng Gong, Yang Nan, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2023 | GECCO | Effects of Objective Space Normalization in Multi-Objective Evolutionary Algorithms on Real-World Problems. | Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan |
| 2023 | GECCO | Effects of Dominance Modification on Hypervolume-based and IGD-based Performance Evaluation Results of NSGA-II. | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2023 | GECCO | A Decomposition-based Multi-modal Multi-objective Evolutionary Algorithm with Problem Transformation into Two-objective Subproblems. | Yusuke Nojima, Yuto Fujii, Naoki Masuyama, Yiping Liu, Hisao Ishibuchi |
| 2023 | GECCO | Two-Phase Procedure for Efficiently Removing Dominated Solutions From Large Solution Sets. | Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi |
| 2023 | GECCO | STHV-Net: Hypervolume Approximation based on Set Transformer. | Han Zhu, Ke Shang, Hisao Ishibuchi |
| 2023 | SMC | Two-Stage Lazy Greedy Inclusion Hypervolume Subset Selection for Large-Scale Problem. | Yang Nan, Tianye Shu, Hisao Ishibuchi |
| 2023 | SMC | Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary Algorithms. | Cheng Gong, Lie Meng Pang, Yang Nan, Hisao Ishibuchi, Qingfu Zhang |
| 2023 | SMC | How to Find a Large Solution Set to Cover the Entire Pareto Front in Evolutionary Multi-Objective Optimization. | Lie Meng Pang, Yang Nan, Hisao Ishibuchi |
| 2022 | CEC | Multi-Modal Multi-Objective Test Problems with an Infinite Number of Equivalent Pareto Sets. | Hisao Ishibuchi, Yiming Peng, Lie Meng Pang |
| 2022 | GECCO | Difficulties in fair performance comparison of multiobjective evolutionary algorithms. | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2022 | IJCNN | Adaptive Resonance Theory-based Clustering for Handling Mixed Data. | Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Zongying Liu |
| 2022 | PPSN | New Solution Creation Operator in MOEA/D for Faster Convergence. | Longcan Chen, Lie Meng Pang, Hisao Ishibuchi |
| 2022 | PPSN | Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study. | Yiming Peng, Hisao Ishibuchi |
| 2022 | PPSN | HVC-Net: Deep Learning Based Hypervolume Contribution Approximation. | Ke Shang, Weiduo Liao, Hisao Ishibuchi |
| 2022 | PPSN | Direction Vector Selection for R2-Based Hypervolume Contribution Approximation. | Tianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi |
| 2021 | CEC | Periodical Generation Update using an Unbounded External Archive for Multi-Objective Optimization. | Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang |
| 2021 | CEC | A Two-stage Hypervolume Contribution Approximation Method Based on R2 Indicator. | Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He |
| 2021 | CEC | Using a Genetic Algorithm-based Hyper-heuristic to Tune MOEA/D for a Set of Various Test Problems. | Lie Meng Pang, Hisao Ishibuchi, Ke Shang |
| 2021 | EMO | Using a Genetic Algorithm-Based Hyper-Heuristic to Tune MOEA/D for a Set of Benchmark Test Problems. | Lie Meng Pang, Hisao Ishibuchi, Ke Shang |
| 2021 | EMO | Niching Diversity Estimation for Multi-modal Multi-objective Optimization. | Yiming Peng, Hisao Ishibuchi |
| 2021 | EMO | Improving the Efficiency of R2HCA-EMOA. | Ke Shang, Hisao Ishibuchi, Longcan Chen, Weiyu Chen, Lie Meng Pang |
| 2021 | EMO | It Is Hard to Distinguish Between Dominance Resistant Solutions and Extremely Convex Pareto Optimal Solutions. | Qite Yang, Zhenkun Wang, Hisao Ishibuchi |
| 2021 | EMO | Multiobjective Optimization with Fuzzy Classification-Assisted Environmental Selection. | Jinyuan Zhang, Hisao Ishibuchi |
| 2021 | GECCO | Metric for evaluating normalization methods in multiobjective optimization. | Linjun He, Hisao Ishibuchi, Dipti Srinivasan |
| 2021 | GECCO | Greedy approximated hypervolume subset selection for many-objective optimization. | Ke Shang, Hisao Ishibuchi, Weiyu Chen |
| 2021 | GECCO | Distance-based subset selection revisited. | Ke Shang, Hisao Ishibuchi, Yang Nan |
| 2021 | GECCO | Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms. | Jinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He, Lie Meng Pang, Yiming Peng |
| 2021 | SMC | Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization. | Weiyu Chen, Hisao Ishibuchi, Ke Shang |
| 2021 | SMC | Multi-Modal Multi-Objective Traveling Salesman Problem and its Evolutionary Optimizer. | Yiping Liu, Liting Xu, Yuyan Han, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Gary G. Yen |
| 2021 | SMC | Improving Local Search Hypervolume Subset Selection in Evolutionary Multi-objective Optimization. | Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He |
| 2021 | SMC | Proposal of a New Test Problem for Large-Scale Multi- and Many-Objective Optimization. | Lie Meng Pang, Ke Shang, Longcan Chen, Hisao Ishibuchi, Weiyu Chen |
| 2021 | SMC | A Decomposition-based Hybrid Evolutionary Algorithm for Multi-modal Multi-objective Optimization. | Yiming Peng, Hisao Ishibuchi |
| 2021 | SMC | Reference Point Specification for Greedy Hypervolume Subset Selection. | Ke Shang, Hisao Ishibuchi, Lie Meng Pang, Yang Nan |
| 2020 | CEC | Modified Distance-based Subset Selection for Evolutionary Multi-objective Optimization Algorithms. | Weiyu Chen, Hisao Ishibuchi, Ke Shang |
| 2020 | CEC | Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution Sets. | Weiyu Chen, Hisao Ishibuchi, Ke Shang |
| 2020 | CEC | Riesz s-energy-based Reference Sets for Multi-Objective optimization. | Jess Guillermo Falcn-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello |
| 2020 | CEC | Effects of Local Mating in Inter-task Crossover on the Performance of Decomposition-based Evolutionary Multiobjective Multitask optimization Algorithms. | Ryuichi Hashimoto, Toshiki Urita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi |
| 2020 | CEC | Dynamic Normalization in MOEA/D for Multiobjective optimization. | Linjun He, Hisao Ishibuchi, Anupam Trivedi, Dipti Srinivasan |
| 2020 | CEC | On the Normalization in Evolutionary Multi-Modal Multi-Objective Optimization. | Yiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama, Yuyan Han |
| 2020 | CEC | A Decomposition-based Large-scale Multi-modal Multi-objective optimization Algorithm. | Yiming Peng, Hisao Ishibuchi |
| 2020 | ECAI | Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms. | Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima |
| 2020 | ECAI | A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive. | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2020 | GECCO | Another difficulty of inverted triangular pareto fronts for decomposition-based multi-objective algorithms. | Linjun He, Auraham Camacho, Hisao Ishibuchi |
| 2020 | GECCO | Effects of dominance resistant solutions on the performance of evolutionary multi-objective and many-objective algorithms. | Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima |
| 2020 | GECCO | Evolutionary many-objective optimization. | Hisao Ishibuchi, Hiroyuki Sato |
| 2020 | GECCO | What is a good direction vector set for the R2-based hypervolume contribution approximation. | Yang Nan, Ke Shang, Hisao Ishibuchi |
| 2020 | IJCNN | Multilayer Clustering Based on Adaptive Resonance Theory for Noisy Environments. | Narito Amako, Naoki Masuyama, Chu Kiong Loo, Yusuke Nojima, Yiping Liu, Hisao Ishibuchi |
| 2020 | PPSN | Proposal of a Realistic Many-Objective Test Suite. | Weiyu Chen, Hisao Ishibuchi, Ke Shang |
| 2020 | PPSN | Hypervolume Optimal μ-Distributions on Line-Based Pareto Fronts in Three Dimensions. | Ke Shang, Hisao Ishibuchi, Weiyu Chen, Luks Adam |
| 2020 | SMC | Population Size Specification for Fair Comparison of Multi-objective Evolutionary Algorithms. | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2020 | SMC | Numerical Analysis on Optimal Distributions of Solutions for Hypervolume Maximization. | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2020 | SMC | Parallel Implementation of MOEA/D with Parallel Weight Vectors for Feature Selection. | Weiduo Liao, Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2020 | SMC | Algorithm Configurations of MOEA/D with an Unbounded External Archive. | Lie Meng Pang, Hisao Ishibuchi, Ke Shang |
| 2019 | CEC | Regular Pareto Front Shape is not Realistic. | Hisao Ishibuchi, Linjun He, Ke Shang |
| 2019 | CEC | Two-Layered Weight Vector Specification in Decomposition-Based Multi-Objective Algorithms for Many-Objective Optimization Problems. | Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima |
| 2019 | CEC | A Scalable Multimodal Multiobjective Test Problem. | Hisao Ishibuchi, Yiming Peng, Ke Shang |
| 2019 | CEC | Searching for Local Pareto Optimal Solutions: A Case Study on Polygon-Based Problems. | Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Yuyan Han |
| 2019 | CEC | A Multiobjective Test Suite with Hexagon Pareto Fronts and Various Feasible Regions. | Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi |
| 2019 | CEC | A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. | Kanzhen Wan, Cheng He, Auraham Camacho, Ke Shang, Ran Cheng, Hisao Ishibuchi |
| 2019 | EMO | Indicator-Based Weight Adaptation for Solving Many-Objective Optimization Problems. | Auraham Camacho, Gregorio Toscano Pulido, Ricardo Landa Becerra, Hisao Ishibuchi |
| 2019 | EMO | Comparison of Hypervolume, IGD and IGD+ from the Viewpoint of Optimal Distributions of Solutions. | Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima |
| 2019 | GECCO | Evolutionary many-objective optimization. | Hisao Ishibuchi, Hiroyuki Sato |
| 2019 | GECCO | Constrained multiobjective distance minimization problems. | Yusuke Nojima, Takafumi Fukase, Yiping Liu, Naoki Masuyama, Hisao Ishibuchi |
| 2019 | GECCO | Non-elitist evolutionary multi-objective optimizers revisited. | Ryoji Tanabe, Hisao Ishibuchi |
| 2018 | CEC | Dynamic Specification of a Reference Point for Hypervolume Calculation in SMS-EMOA. | Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima |
| 2018 | GECCO | Analysis of evolutionary multi-tasking as an island model. | Ryuichi Hashimoto, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima |
| 2018 | GECCO | Incorporation of a decision space diversity maintenance mechanism into MOEA/D for multi-modal multi-objective optimization. | Chenxu Hu, Hisao Ishibuchi |
| 2018 | GECCO | Dual-grid model of MOEA/D for evolutionary constrained multiobjective optimization. | Hisao Ishibuchi, Takefumi Fukase, Naoki Masuyama, Yusuke Nojima |
| 2018 | GECCO | Weight vector grid with new archive update mechanism for multi-objective optimization. | Xizi Ni, Hisao Ishibuchi, Kanzhen Wan, Ke Shang, Chukun Zhuang |
| 2018 | GECCO | A new R2 indicator for better hypervolume approximation. | Ke Shang, Hisao Ishibuchi, Min-Ling Zhang, Yiping Liu |
| 2018 | PPSN | Use of Two Reference Points in Hypervolume-Based Evolutionary Multiobjective Optimization Algorithms. | Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima |
| 2018 | PPSN | A Double-Niched Evolutionary Algorithm and Its Behavior on Polygon-Based Problems. | Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang |
| 2018 | PPSN | Improving 1by1EA to Handle Various Shapes of Pareto Fronts. | Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang |
| 2018 | PPSN | A Decomposition-Based Evolutionary Algorithm for Multi-modal Multi-objective Optimization. | Ryoji Tanabe, Hisao Ishibuchi |
| 2018 | SMC | Multiobjective Evolutionary Data Mining for Performance Improvement of Evolutionary Multiobjective Optimization. | Naoki Masuyama, Yuki Tanigaki, Yusuke Nojima, Hisao Ishibuchi |
| 2018 | SMC | Performance Comparison of Multiobjective Evolutionary Algorithms on Problems with Partially Different Properties from Popular Test Suites. | Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi |
| 2017 | FOGA | Hypervolume Subset Selection for Triangular and Inverted Triangular Pareto Fronts of Three-Objective Problems. | Hisao Ishibuchi, Ryo Imada, Yu Setoguchi, Yusuke Nojima |
| 2017 | GECCO | Reference point specification in hypervolume calculation for fair comparison and efficient search. | Hisao Ishibuchi, Ryo Imada, Yu Setoguchi, Yusuke Nojima |
| 2017 | GECCO | Multiple reference points MOEA/D for feature selection. | Bach Hoai Nguyen, Bing Xue, Hisao Ishibuchi, Peter Andreae, Mengjie Zhang |
| 2017 | GECCO | Multiobjective data mining from solutions by evolutionary multiobjective optimization. | Yusuke Nojima, Yuki Tanigaki, Hisao Ishibuchi |
| 2017 | IFSA | Michigan-style fuzzy GBML with (1+1)-ES generation update and multi-pattern rule generation. | Yusuke Nojima, Shuji Takemura, Kazuhiro Watanabe, Hisao Ishibuchi |
| 2017 | IFSA | Performance comparison of EMO algorithms on test problems with different search space shape. | Yuki Tanigaki, Yusuke Nojima, Hisao Ishibuchi |
| 2017 | SMC | Use of inverted triangular weight vectors in decomposition-based multiobjective algorithms. | Hisao Ishibuchi, Ryo Imada, Ken Doi, Yusuke Nojima |
| 2016 | CEC | Characteristics of many-objective test problems and penalty parameter specification in MOEA/D. | Hisao Ishibuchi, Ken Doi, Yusuke Nojima |
| 2016 | CEC | Performance comparison of NSGA-II and NSGA-III on various many-objective test problems. | Hisao Ishibuchi, Ryo Imada, Yu Setoguchi, Yusuke Nojima |
| 2016 | CEC | Sensitivity of performance evaluation results by inverted generational distance to reference points. | Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima |
| 2016 | CEC | How to compare many-objective algorithms under different settings of population and archive sizes. | Hisao Ishibuchi, Yu Setoguchi, Hiroyuki Masuda, Yusuke Nojima |
| 2016 | CEC | Common properties of scalable multiobjective problems and a new framework of test problems. | Hiroyuki Masuda, Yusuke Nojima, Hisao Ishibuchi |
| 2016 | CEC | Effects of parallel distributed implementation on the search performance of Pittsburgh-style genetics-based machine learning algorithms. | Yusuke Nojima, Hisao Ishibuchi |
| 2016 | CEC | Further analysis on strange evolution behavior of 7-bit binary string strategies in iterated prisoner's dilemma game. | Takahiko Sudo, Kazushi Goto, Yusuke Nojima, Hisao Ishibuchi |
| 2016 | CEC | Meta-optimization based multi-objective test problem generation using WFG toolkit. | Yuki Tanigaki, Yusuke Nojima, Hisao Ishibuchi |
| 2016 | GECCO | Weighted Optimization Framework for Large-scale Multi-objective Optimization. | Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim, Yusuke Nojima |
| 2016 | ICORES | A Variable Neighbourhood Search Algorithm with Compound Neighbourhoods for VRPTW. | Binhui Chen, Rong Qu, Ruibin Bai, Hisao Ishibuchi |
| 2016 | ICORES | An Investigation on Compound Neighborhoods for VRPTW. | Binhui Chen, Rong Qu, Ruibin Bai, Hisao Ishibuchi |
| 2016 | PPSN | Use of Piecewise Linear and Nonlinear Scalarizing Functions in MOEA/D. | Hisao Ishibuchi, Ken Doi, Yusuke Nojima |
| 2016 | SMC | Reference point specification in MOEA/D for multi-objective and many-objective problems. | Hisao Ishibuchi, Ken Doi, Yusuke Nojima |
| 2015 | ACIIDS | Application of Parallel Distributed Implementation to Multiobjective Fuzzy Genetics-Based Machine Learning. | Yusuke Nojima, Yuji Takahashi, Hisao Ishibuchi |
| 2015 | CEC | Comparing solution sets of different size in evolutionary many-objective optimization. | Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima |
| 2015 | CEC | Effects of heuristic rule generation from multiple patterns in multiobjective fuzzy genetics-Based machine learning. | Yusuke Nojima, Kazuhiro Watanabe, Hisao Ishibuchi |
| 2015 | CEC | 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. | Takahiko Sudo, Kazushi Goto, Yusuke Nojima, Hisao Ishibuchi |
| 2015 | CEC | Strange evolution behavior of 7-bit binary string strategies in iterated prisoner's dilemma game. | Takahiko Sudo, Kazushi Goto, Yusuke Nojima, Hisao Ishibuchi |
| 2015 | CEC | Algorithm structure optimization by choosing operators in multiobjective genetic local search. | Yuki Tanigaki, Hiroyuki Masuda, Yu Setoguchi, Yusuke Nojima, Hisao Ishibuchi |
| 2015 | EMO | Modified Distance Calculation in Generational Distance and Inverted Generational Distance. | Hisao Ishibuchi, Hiroyuki Masuda, Yuki Tanigaki, Yusuke Nojima |
| 2015 | EMO | A Knee-Based EMO Algorithm with an Efficient Method to Update Mobile Reference Points. | Yu Setoguchi, Kaname Narukawa, Hisao Ishibuchi |
| 2015 | GECCO | A Study on Performance Evaluation Ability of a Modified Inverted Generational Distance Indicator. | Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima |
| 2014 | CEC | A comparison of multi-objective evolutionary algorithms for the ontology meta-matching problem. | Giovanni Acampora, Hisao Ishibuchi, Autilia Vitiello |
| 2014 | CEC | Visual examination of the behavior of EMO algorithms for many-objective optimization with many decision variables. | Hiroyuki Masuda, Yusuke Nojima, Hisao Ishibuchi |
| 2014 | CEC | Effects of ensemble action selection on the evolution of iterated prisoner's dilemma game strategies. | Takahiko Sudo, Yusuke Nojima, Hisao Ishibuchi |
| 2014 | GECCO | Meta-level multi-objective formulations of set optimization for multi-objective optimization problems: multi-reference point approach to hypervolume maximization. | Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima |
| 2014 | GECCO | Evolutionary many-objective optimization using preference on hyperplane. | Kaname Narukawa, Yuki Tanigaki, Hisao Ishibuchi |
| 2014 | ICAISC | Archive Management in Interactive Evolutionary Computation with Minimum Requirement for Human User's Fitness Evaluation Ability. | Hisao Ishibuchi, Takahiko Sudo, Yusuke Nojima |
| 2014 | PPSN | Distance-Based Analysis of Crossover Operators for Many-Objective Knapsack Problems. | Hisao Ishibuchi, Yuki Tanigaki, Hiroyuki Masuda, Yusuke Nojima |
| 2014 | SMC | Selecting a small number of non-dominated solutions to be presented to the decision maker. | Hisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima |
| 2013 | CEC | How to strike a balance between local search and global search in multiobjective memetic algorithms for multiobjective 0/1 knapsack problems. | Hisao Ishibuchi, Yuki Tanigaki, Naoya Akedo, Yusuke Nojima |
| 2013 | CEC | Many-objective and many-variable test problems for visual examination of multiobjective search. | Hisao Ishibuchi, Masakazu Yamane, Naoya Akedo, Yusuke Nojima |
| 2013 | EMO | Relation between Neighborhood Size and MOEA/D Performance on Many-Objective Problems. | Hisao Ishibuchi, Naoya Akedo, Yusuke Nojima |
| 2013 | EMO | Difficulty in Evolutionary Multiobjective Optimization of Discrete Objective Functions with Different Granularities. | Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima |
| 2013 | IFSA | Difficulties in choosing a single final classifier from non-dominated solutions in multiobjective fuzzy genetics-based machine learning. | Hisao Ishibuchi, Yusuke Nojima |
| 2013 | SMC | Effects of the Number of Opponents on the Evolution of Cooperation in the Iterated Prisoner's Dilemma. | Hisao Ishibuchi, Takahiko Sudo, Koichiro Hoshino, Yusuke Nojima |
| 2012 | CEC | Strategy evolution in a spatial IPD game where each agent is not allowed to play against itself. | Hisao Ishibuchi, Koichiro Hoshino, Yusuke Nojima |
| 2012 | CEC | Evolution of strategies in a spatial IPD game with a number of different representation schemes. | Hisao Ishibuchi, Koichiro Hoshino, Yusuke Nojima |
| 2012 | GECCO | Effects of discrete objective functions with different granularities on the search behavior of EMO algorithms. | Hisao Ishibuchi, Masakazu Yamane, Yusuke Nojima |
| 2012 | PPSN | Recombination of Similar Parents in SMS-EMOA on Many-Objective 0/1 Knapsack Problems. | Hisao Ishibuchi, Naoya Akedo, Yusuke Nojima |
| 2011 | CEC | Behavior of EMO algorithms on many-objective optimization problems with correlated objectives. | Hisao Ishibuchi, Naoya Akedo, Hiroyuki Ohyanagi, Yusuke Nojima |
| 2011 | EMO | Effects of the Existence of Highly Correlated Objectives on the Behavior of MOEA/D. | Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Hiroyuki Ohyanagi, Yusuke Nojima |
| 2011 | GECCO | A many-objective test problem for visually examining diversity maintenance behavior in a decision space. | Hisao Ishibuchi, Naoya Akedo, Yusuke Nojima |
| 2011 | ICMLA | Training Data Subdivision and Periodical Rotation in Hybrid Fuzzy Genetics-Based Machine Learning. | Hisao Ishibuchi, Shingo Mihara, Yusuke Nojima |
| 2010 | CEC | Ensemble classifier design by parallel distributed implementation of genetic fuzzy rule selection for large data sets. | Yusuke Nojima, Shingo Mihara, Hisao Ishibuchi |
| 2010 | GECCO | Simultaneous use of different scalarizing functions in MOEA/D. | Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima |
| 2010 | GECCO | Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions. | Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima |
| 2010 | PPSN | Many-Objective Test Problems to Visually Examine the Behavior of Multiobjective Evolution in a Decision Space. | Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima |
| 2010 | PPSN | How to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic Algorithms. | Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yoshihiko Wakamatsu, Yusuke Nojima |
| 2009 | CEC | Effects of using two neighborhood structures on the performance of cellular evolutionary algorithms for many-objective optimization. | Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima |
| 2009 | CEC | Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization. | Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima |
| 2009 | EMO | Adaptation of Scalarizing Functions in MOEA/D: An Adaptive Scalarizing Function-Based Multiobjective Evolutionary Algorithm. | Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima |
| 2009 | EUSFLAT | Discussions on Interpretability of Fuzzy Systems using Simple Examples. | Hisao Ishibuchi, Yusuke Nojima |
| 2009 | EUSFLAT | Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference. | Yusuke Nojima, Hisao Ishibuchi |
| 2009 | GECCO | Single-objective and multi-objective formulations of solution selection for hypervolume maximization. | Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima |
| 2009 | ISDA | Effects of Data Reduction on the Generalization Ability of Parallel Distributed Genetic Fuzzy Rule Selection. | Yusuke Nojima, Hisao Ishibuchi |
| 2009 | SMC | Evolutionary Many-Objective Optimization by NSGA-II and MOEA/D with Large Populations. | Hisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima |
| 2008 | CEC | A study on constructing fuzzy systems for high-level decision making in a car racing game. | Seiya Fujii, Tomoharu Nakashima, Hisao Ishibuchi |
| 2008 | CEC | Scalability of multiobjective genetic local search to many-objective problems: Knapsack problem case studies. | Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yusuke Nojima |
| 2008 | CEC | Evolutionary many-objective optimization: A short review. | Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima |
| 2008 | GECCO | Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems. | Hisao Ishibuchi, Noritaka Tsukamoto, Yasuhiro Hitotsuyanagi, Yusuke Nojima |
| 2008 | GECCO | Maintaining the diversity of solutions by non-geometric binary crossover: a worst one-max solver competition case study. | Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima |
| 2008 | HAIS | Effects of Diversity Measures on the Design of Ensemble Classifiers by Multiobjective Genetic Fuzzy Rule Selection with a Multi-classifier Coding Scheme. | Yusuke Nojima, Hisao Ishibuchi |
| 2008 | PPSN | Use of Heuristic Local Search for Single-Objective Optimization in Multiobjective Memetic Algorithms. | Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Noritaka Tsukamoto, Yusuke Nojima |
| 2008 | PPSN | Examining the Effect of Elitism in Cellular Genetic Algorithms Using Two Neighborhood Structures. | Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima |
| 2007 | CEC | An empirical study on the specification of the local search application probability in multiobjective memetic algorithms. | Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yusuke Nojima |
| 2007 | CEC | Iterative approach to indicator-based multiobjective optimization. | Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima |
| 2007 | CEC | Effects of spatial structures on evolution of iterated prisoner's dilemma game strategies with probabilistic decision making. | Ken Ohara, Yusuke Nojima, Yumeka Kitano, Hisao Ishibuchi |
| 2007 | CIBCB | Cost-Sensitive Fuzzy Classification for Medical Diagnosis. | Gerald Schaefer, Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi |
| 2007 | EMO | Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization. | Hisao Ishibuchi, Yusuke Nojima |
| 2007 | GECCO | Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization. | Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, Ken Ohara |
| 2007 | KES | Prescreening of Candidate Rules Using Association Rule Mining and Pareto-optimality in Genetic Rule Selection. | Hisao Ishibuchi, Isao Kuwajima, Yusuke Nojima |
| 2007 | SMC | Choosing extreme parents for diversity improvement in evolutionary multiobjective optimization algorithms. | Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima |
| 2006 | CEC | Comparison between Single-Objective and Multi-Objective Genetic Algorithms: Performance Comparison and Performance Measures. | Hisao Ishibuchi, Yusuke Nojima, Tsutomu Doi |
| 2006 | CEC | Effects of Spatial Structures on Evolution of Iterated Prisoner's Dilemma Game Strategies in Single-Dimensional and Two-Dimensional Grids. | Hisao Ishibuchi, Naoki Namikawa, Ken Ohara |
| 2006 | CEC | Robust Evaluation of RoboCup Soccer Strategies by Using Match History. | Tomoharu Nakashima, Masahiro Takatani, Naoki Namikawa, Hisao Ishibuchi, Manabu Nii |
| 2006 | GECCO | Multiobjective genetic rule selection as a data mining postprocessing procedure. | Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima |
| 2006 | GECCO | Incorporation of decision maker's preference into evolutionary multiobjective optimization algorithms. | Hisao Ishibuchi, Yusuke Nojima, Kaname Narukawa, Tsutomu Doi |
| 2006 | HIS | Designing Fuzzy Ensemble Classifiers by Evolutionary Multiobjective Optimization with an Entropy-Based Diversity Criterion. | Yusuke Nojima, Hisao Ishibuchi |
| 2006 | KES | Finding Simple Fuzzy Classification Systems with High Interpretability Through Multiobjective Rule Selection. | Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima |
| 2006 | PPSN | Incorporation of Scalarizing Fitness Functions into Evolutionary Multiobjective Optimization Algorithms. | Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima |
| 2006 | PPSN | Effects of Using Two Neighborhood Structures in Cellular Genetic Algorithms for Function Optimization. | Hisao Ishibuchi, Tsutomu Doi, Yusuke Nojima |
| 2006 | SMC | Examining the Effect of Cost Assignment on the Performance of Cost-Based Classification Systems. | Tomoharu Nakashima, Yasuyuki Yokota, Gerald Schaefer, Hisao Ishibuchi |
| 2005 | CEC | Evolution of cooperative behavior in the iterated prisoner's dilemma under random pairing in game playing. | Hisao Ishibuchi, Naoki Namikawa |
| 2005 | EMO | Comparison Between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems. | Hisao Ishibuchi, Shiori Kaige, Kaname Narukawa |
| 2005 | EMO | Recombination of Similar Parents in EMO Algorithms. | Hisao Ishibuchi, Kaname Narukawa |
| 2005 | EMO | Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm. | Yusuke Nojima, Kaname Narukawa, Shiori Kaige, Hisao Ishibuchi |
| 2005 | EUSFLAT | Multiobjective Formulations of Fuzzy Rule-Based Classification System Design. | Hisao Ishibuchi, Yusuke Nojima |
| 2005 | EUSFLAT | Learning Fuzzy If-Then Rules for Pattern Classi cation with Weighted Training Patterns. | Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi, Gerald Schaefer |
| 2005 | GECCO | Comparison of evolutionary multiobjective optimization with rference solution-based single-objective approach. | Hisao Ishibuchi, Kaname Narukawa |
| 2005 | GECCO | An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization. | Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima |
| 2005 | HIS | Spatial Implementation of Evolutionary Multiobjective Algorithms with Partial Lamarckian Repair for Multiobjective Knapsack Problems. | Hisao Ishibuchi, Kaname Narukawa |
| 2005 | HIS | Performance Evaluation of Evolutionary Multiobjective Approaches to the Design of Fuzzy Rule-Based Ensemble Classifiers. | Hisao Ishibuchi, Yusuke Nojima |
| 2005 | SMC | Behavior Analysis of Futures Trading Agents Using Fuzzy Rule Extraction. | Hiroko Kitano, Tomoharu Nakashima, Hisao Ishibuchi |
| 2005 | RoboCup | Performance Evaluation of an Evolutionary Method for RoboCup Soccer Strategies. | Tomoharu Nakashima, Masahiro Takatani, Masayo Udo, Hisao Ishibuchi, Manabu Nii |
| 2004 | CEC | Performance evaluation of simple multiobjective genetic local search algorithms on multiobjective 0/1 knapsack problems. | Hisao Ishibuchi, Kiyoshi Narukawa |
| 2004 | GECCO | Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization. | Hisao Ishibuchi, Kaname Narukawa |
| 2004 | GECCO | Mating Scheme for Controlling the Diversity-Convergence Balance for Multiobjective Optimization. | Hisao Ishibuchi, Youhei Shibata |
| 2004 | HIS | Comparison of Local Search Implementation Schemes in Hybrid Evolutionary Multiobjective Optimization Algorithms. | Hisao Ishibuchi, Kaname Narukawa |
| 2004 | MDAI | A Study on Weighting Training Patterns for Fuzzy Rule-Based Classification Systems. | Tomoharu Nakashima, Hisao Ishibuchi, Andrzej Bargiela |
| 2004 | PPSN | Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems. | Hisao Ishibuchi, Satoshi Namba |
| 2004 | SMC | Multi-objective evolutionary design of fuzzy rule-based systems. | Hisao Ishibuchi, Takashi Yamamoto |
| 2004 | SMC | Constructing fuzzy classification systems from weighted training patterns. | Tomoharu Nakashima, Hisao Ishibuchi, Andrzej Bargiela |
| 2004 | SMC | Development of a fuzzy position controller for an autonomously trading agent. | Tomoharu Nakashima, Hiroko Kitano, Hisao Ishibuchi |
| 2004 | SMC | An evolutionary approach for strategy learning in RoboCup soccer. | Tomoharu Nakashima, Masahiro Takatani, Masayo Udo, Hisao Ishibuchi |
| 2003 | CEC | Effects of repair procedures on the performance of EMO algorithms for multiobjective 0/1 knapsack problems. | Hisao Ishibuchi, Shiori Kaige |
| 2003 | EMO | An Empirical Study on the Effect of Mating Restriction on the Search Ability of EMO Algorithms. | Hisao Ishibuchi, Youhei Shibata |
| 2003 | EMO | Effects of Three-Objective Genetic Rule Selection on the Generalization Ability of Fuzzy Rule-Based Systems. | Hisao Ishibuchi, Takashi Yamamoto |
| 2003 | EMO | Modification of Local Search Directions for Non-dominated Solutions in CellularMultiobjective Genetic Algorithms forPattern Classification Problems. | Tadahiko Murata, Hiroyuki Nozawa, Hisao Ishibuchi, Mitsuo Gen |
| 2003 | GECCO | A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization. | Hisao Ishibuchi, Youhei Shibata |
| 2003 | GECCO | Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers. | Hisao Ishibuchi, Takashi Yamamoto |
| 2003 | GECCO | Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms. | Tadahiko Murata, Shiori Kaige, Hisao Ishibuchi |
| 2003 | HIS | A Simple but Powerful Multiobjective Hybrid Genetic Algorithm. | Hisao Ishibuchi, Shiori Kaige |
| 2003 | SMC | Performance evaluation of memetic EMO algorithms using dominance relation-based replacement rules on MOO test problems. | Shiori Kaige, Tadahiko Murata, Hisao Ishibuchi |
| 2003 | SMC | Constructing fuzzy ensembles for pattern classification problems. | Tomoham Nakashima, Gaku Nakai, Hisao Ishibuchi |
| 2003 | SMC | Knowledge acquisition for a soccer agent by fuzzy reinforcement learning. | Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi |
| 2003 | RoboCup | A Fuzzy Reinforcement Learning for a Ball Interception Problem. | Tomoharu Nakashima, Masayo Udo, Hisao Ishibuchi |
| 2002 | CEC | Selection of initial solutions for local search in multiobjective genetic local search. | Hisao Ishibuchi, Tadsahi Yoshida, Tadahiko Murata |
| 2002 | CEC | Effect of local search on the performance of cellular multiobjective genetic algorithms for designing fuzzy rule-based classification systems. | Tadahiko Murata, Hiroyuki Nozawa, Yasuhiro Tsujimura, Mitsuo Gen, Hisao Ishibuchi |
| 2002 | GECCO | Fuzzy Rule Selection By Data Mining Criteria And Genetic Algorithms. | Hisao Ishibuchi, Takashi Yamamoto |
| 2002 | GECCO | Balance Between Genetic Search And Local Search In Hybrid Evolutionary Multi-criterion Optimization Algorithms. | Hisao Ishibuchi, Tadashi Yoshida, Tadahiko Murata |
| 2002 | HIS | Comparison of Fuzzy Rule Selection Criteria for Classification Problems. | Hisao Ishibuchi, Takashi Yamamoto |
| 2002 | HIS | Hybrid Evolutionary Multi-Objective Optimization Algorithms. | Hisao Ishibuchi, Tadashi Yoshida |
| 2001 | CEC | Three-objective optimization in linguistic function approximation. | Hisao Ishibuchi, Tomoharu Nakashima |
| 2001 | CEC | Effect of localized selection on the evolution of unplanned coordination in a market selection game. | Hisao Ishibuchi, Ryoji Sakamoto, Tomoharu Nakashima |
| 2001 | EMO | Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data. | Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata |
| 2001 | EMO | Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms. | Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen |
| 2001 | ICDM | Fuzzy Data Mining: Effect of Fuzzy Discretization. | Hisao Ishibuchi, Takashi Yamamoto, Tomoharu Nakashima |
| 2000 | GECCO | Linguistic Rule Extraction by Genetics-Based Machine Learning. | Hisao Ishibuchi, Tomoharu Nakashima |
| 2000 | GECCO | Multi-objective pattern and feature selection by a genetic algorithm. | Hisao Ishibuchi, Tomoharu Nakashima |
| 2000 | GECCO | Evolution of Strategies in Spatial IPD Games with Structure Demes. | Hisao Ishibuchi, Tatsuo Nakari, Tomoharu Nakashima |
| 2000 | GECCO | Cellular Genetic Local Search for Multi-Objective Optimization. | Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen |
| 1999 | CEC | Designing compact fuzzy rule-based systems with default hierarchies for linguistic approximation. | Hisao Ishibuchi, Tomoharu Nakashima |
| 1999 | CEC | Evolution of neighborly relations in a spatial IPD game with cooperative players and hostile players. | Hisao Ishibuchi, Tatsuo Nakari, Tomoham Nakashima |
| 1999 | IJCNN | Decreasing excess fuzziness in fuzzy outputs from neural networks for linguistic rule extraction. | Hisao Ishibuchi, Manabu Nii, Kimiko Tanaka |
| 1998 | KES | A study on generating fuzzy classification rules using histograms. | Hisao Ishibuchi, Tomoharu Nakashima |
| 1998 | KES | Improving the generalization ability of neural networks by interval arithmetic. | Hisao Ishibuchi, Manabu Nii |
| 1998 | KES | Neighborhood structures for genetic local search algorithms. | Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen |
| 1998 | KES | Fuzzy arithmetic in neural networks for linguistic rule extraction. | Manabu Nii, Hisao Ishibuchi |
| 1996 | ICEC | Multi-Objective Genetic Local Search Algorithm. | Hisao Ishibuchi, Tadahiko Murata |
| 1996 | ICEC | Genetic-Algorithm-Based Approaches to the Design of Fuzzy Systems for Multi-Dimensional Pattern Classification Problems. | Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata |
| 1996 | ICEC | Positive and Negative Combination Effects of Crossover and Mutation Operators in Sequencing Problems. | Tadahiko Murata, Hisao Ishibuchi |
| 1994 | ICEC | Performance Evaluation of Genetic Algorithms for Flowshop Scheduling Problems. | Tadahiko Murata, Hisao Ishibuchi |