Hisao Ishibuchi

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 312

Top Venues

IEEE Trans. Evol. Comput.

CoRR

CEC

GECCO

Publications

Lie Meng Pang, Hisao Ishibuchi, Ke Shang
Analysis of Algorithm Comparison Results on Real-World Multi-Objective Problems. CEC (2024)
Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Daniel Molina, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects. CoRR (2024)
Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations. GECCO (2024)
Yang Nan, Hisao Ishibuchi, Tianye Shu
Performance Evaluation of Evolutionary Multi-Objective Algorithms Using Real-World Problems with an Additional Total Constraint Violation Objective. CEC (2024)
Rongguang Ye, Lei Chen, Weiduo Liao, Jinyuan Zhang, Hisao Ishibuchi
Data-Driven Preference Sampling for Pareto Front Learning. CoRR (2024)
Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
Interactive Final Solution Selection in Multi-Objective Optimization. CEC (2024)
Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
Analysis of Real-World Constrained Multi-Objective Problems and Performance Comparison of Multi-Objective Algorithms. GECCO (2024)
Ke Shang, Tianye Shu, Hisao Ishibuchi
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation. IEEE Trans. Evol. Comput. 28 (1) (2024)
Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi
Evolutionary Preference Sampling for Pareto Set Learning. CoRR (2024)
Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems. GECCO (2024)
Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi
Evolutionary Preference Sampling for Pareto Set Learning. GECCO (2024)
Yiping Liu, Liting Xu, Yuyan Han, Xiangxiang Zeng, Gary G. Yen, Hisao Ishibuchi
Evolutionary Multimodal Multiobjective Optimization for Traveling Salesman Problems. IEEE Trans. Evol. Comput. 28 (2) (2024)
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
New Framework of Multi-Objective Evolutionary Algorithms with Unbounded External Archive. GECCO Companion (2024)
Kangnian Lin, Genghui Li, Qingyan Li, Zhenkun Wang, Hisao Ishibuchi, Hu Zhang
Multi-objective evolutionary algorithm with evolutionary-status-driven environmental selection. Inf. Sci. 669 (2024)
Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi
Learning Pareto Set for Multi-Objective Continuous Robot Control. CoRR (2024)
Chanjuan Liu, Shike Ge, Zhihan Chen, Wenbin Pei, Enqiang Zhu, Yi Mei, Hisao Ishibuchi
Improving Critical Node Detection Using Neural Network-based Initialization in a Genetic Algorithm. CoRR (2024)
Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum. GECCO (2024)
Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
Gradient-Guided Local Search for IGD/IGDPlus Subset Selection. GECCO (2024)
Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
Last-X-Generation Archiving Strategy for Multi-Objective Evolutionary Algorithms. CEC (2024)
Lie Meng Pang, Hisao Ishibuchi, Linjun He, Ke Shang, Longcan Chen
Hypervolume-Based Cooperative Coevolution With Two Reference Points for Multiobjective Optimization. IEEE Trans. Evol. Comput. 28 (4) (2024)
Ke Shang, Tianye Shu, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi
Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts. SSCI (2023)
Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan
Preference-Based Nonlinear Normalization for Multiobjective Optimization. EMO (2023)
Rui Wang, Lining Xing, Maoguo Gong, Ponnuthurai Nagaratnam Suganthan, Hisao Ishibuchi
Guest Editorial Special Issue on Deep Reinforcement Learning for Optimization: Methods and Application. IEEE Trans. Emerg. Top. Comput. Intell. 7 (4) (2023)
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
Effects of Dominance Modification on Hypervolume-based and IGD-based Performance Evaluation Results of NSGA-II. GECCO (2023)
Yifan Wang, Hisao Ishibuchi, Meng Joo Er, Jihua Zhu
Unsupervised multilayer fuzzy neural networks for image clustering. Inf. Sci. 622 (2023)
Naoki Masuyama, Takanori Takebayashi, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi, Stefan Wermter
A Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual Learning. CoRR (2023)
Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
Analysis of Partition Methods for Dominated Solution Removal from Large Solution Sets. SSCI (2023)
Lie Meng Pang, Yang Nan, Hisao Ishibuchi
Partially Degenerate Multi-objective Test Problems. EMO (2023)
Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
Examination of the Multimodal Nature of Multi-Objective Neural Architecture Search. SSCI (2023)
Wei Liu, Rui Wang, Tao Zhang, Kaiwen Li, Wenhua Li, Hisao Ishibuchi, Xiangke Liao
Hybridization of Evolutionary Algorithm and Deep Reinforcement Learning for Multiobjective Orienteering Optimization. IEEE Trans. Evol. Comput. 27 (5) (2023)
Linjun He, Ke Shang, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan
Relation Between Objective Space Normalization and Weight Vector Scaling in Decomposition-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 27 (5) (2023)
Cheng Gong, Lie Meng Pang, Yang Nan, Hisao Ishibuchi, Qingfu Zhang
Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary Algorithms. SMC (2023)
Jinyuan Zhang, Linjun He, Hisao Ishibuchi
Dual-Fuzzy-Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization. IEEE Trans. Evol. Comput. 27 (6) (2023)
Yusuke Nojima, Yuto Fujii, Naoki Masuyama, Yiping Liu, Hisao Ishibuchi
A Decomposition-based Multi-modal Multi-objective Evolutionary Algorithm with Problem Transformation into Two-objective Subproblems. GECCO Companion (2023)
Jesús Guillermo Falcón-Cardona, Edgar Covantes Osuna, Carlos A. Coello Coello, Hisao Ishibuchi
On the utilization of pair-potential energy functions in multi-objective optimization. Swarm Evol. Comput. 79 (2023)
Guotong Wu, Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
Ensemble R2-based Hypervolume Contribution Approximation. SSCI (2023)
Hisao Ishibuchi, Yang Nan, Lie Meng Pang
Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems. EMO (2023)
Han Zhu, Ke Shang, Hisao Ishibuchi
STHV-Net: Hypervolume Approximation based on Set Transformer. GECCO (2023)
Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang
Benchmarking large-scale subset selection in evolutionary multi-objective optimization. Inf. Sci. 622 (2023)
Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
Two-Phase Procedure for Efficiently Removing Dominated Solutions From Large Solution Sets. GECCO (2023)
Weiduo Liao, Ying Wei, Mingchen Jiang, Qingfu Zhang, Hisao Ishibuchi
Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework. NeurIPS (2023)
Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems. EMO (2023)
Linjun He, Auraham Camacho, Yang Nan, Anupam Trivedi, Hisao Ishibuchi, Dipti Srinivasan
Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms. Swarm Evol. Comput. 79 (2023)
Guotong Wu, Tianye Shu, Ke Shang, Hisao Ishibuchi
Normalization in R2-Based Hypervolume and Hypervolume Contribution Approximation. SSCI (2023)
Jinyuan Zhang, Linjun He, Hisao Ishibuchi
An Improved Fuzzy Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization Problems with Complicated Pareto Sets. EMO (2023)
Cheng Gong, Yang Nan, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization. GECCO (2023)
Guangyan An, Ziyu Wu, Zhilong Shen, Ke Shang, Hisao Ishibuchi
Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous UAV Navigation in Large-Scale Complex Environments. GECCO (2023)
Jinyuan Zhang, Hisao Ishibuchi, Linjun He, Yang Nan
Effects of Initialization Methods on the Performance of Surrogate-Based Multiobjective Evolutionary Algorithms. SSCI (2023)
Ke Shang, Weiyu Chen, Weiduo Liao, Hisao Ishibuchi
HV-Net: Hypervolume Approximation Based on DeepSets. IEEE Trans. Evol. Comput. 27 (4) (2023)
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE Trans. Cybern. 53 (11) (2023)
Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi
Multi-Label Classification via Adaptive Resonance Theory-Based Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Takato Kinoshita, Naoki Masuyama, Yiping Liu, Yusuke Nojima, Hisao Ishibuchi
Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-Based Clustering for Many-Objective Optimization. IEEE Access 11 (2023)
Yang Nan, Tianye Shu, Hisao Ishibuchi
Effects of External Archives on the Performance of Multi-Objective Evolutionary Algorithms on Real-World Problems. CEC (2023)
Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
Initial Populations with a Few Heuristic Solutions Significantly Improve Evolutionary Multi-Objective Combinatorial Optimization. SSCI (2023)
Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He
An Improved Local Search Method for Large-Scale Hypervolume Subset Selection. IEEE Trans. Evol. Comput. 27 (6) (2023)
Yang Nan, Tianye Shu, Hisao Ishibuchi
Two-Stage Lazy Greedy Inclusion Hypervolume Subset Selection for Large-Scale Problem. SMC (2023)
Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota
Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory. CoRR (2023)
Yusuke Nojima, Koyo Kawano, Hajime Shimahara, Eric Vernon, Naoki Masuyama, Hisao Ishibuchi
Fuzzy Classifiers with a Two-Stage Reject Option. FUZZ (2023)
Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan
Effects of Archive Size on Computation Time and Solution Quality for Multiobjective Optimization. IEEE Trans. Evol. Comput. 27 (4) (2023)
Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan
Effects of Objective Space Normalization in Multi-Objective Evolutionary Algorithms on Real-World Problems. GECCO (2023)
Lie Meng Pang, Yang Nan, Hisao Ishibuchi
How to Find a Large Solution Set to Cover the Entire Pareto Front in Evolutionary Multi-Objective Optimization. SMC (2023)
Naoki Masuyama, Narito Amako, Yuna Yamada, Yusuke Nojima, Hisao Ishibuchi
Adaptive Resonance Theory-Based Topological Clustering With a Divisive Hierarchical Structure Capable of Continual Learning. IEEE Access 10 (2022)
Takato Kinoshita, Naoki Masuyama, Yiping Liu, Yusuke Nojima, Hisao Ishibuchi
Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-based Clustering for Many-objective Optimization. CoRR (2022)
Longcan Chen, Lie Meng Pang, Hisao Ishibuchi
New Solution Creation Operator in MOEA/D for Faster Convergence. PPSN (2) (2022)
Ke Shang, Tianye Shu, Hisao Ishibuchi
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation. CoRR (2022)
Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan, Weiduo Liao
Hypervolume-Optimal μ-Distributions on Line/Plane-Based Pareto Fronts in Three Dimensions. IEEE Trans. Evol. Comput. 26 (2) (2022)
Yiming Peng, Hisao Ishibuchi
Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study. PPSN (2) (2022)
Bin Qin, Fulai Chung, Yusuke Nojima, Hisao Ishibuchi, Shitong Wang
Fuzzy rule dropout with dynamic compensation for wide learning algorithm of TSK fuzzy classifier. Appl. Soft Comput. 127 (2022)
Mengjun Ming, Rui Wang, Hisao Ishibuchi, Tao Zhang
A Novel Dual-Stage Dual-Population Evolutionary Algorithm for Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 26 (5) (2022)
Yuichi Omozaki, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi
Evolutionary Multi-Objective Multi-Tasking for Fuzzy Genetics-Based Machine Learning in Multi-Label Classification. FUZZ-IEEE (2022)
Wei Liu, Rui Wang, Tao Zhang, Kaiwen Li, Wenhua Li, Hisao Ishibuchi
Hybridization of evolutionary algorithm and deep reinforcement learning for multi-objective orienteering optimization. CoRR (2022)
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
Difficulties in fair performance comparison of multiobjective evolutionary algorithms. GECCO Companion (2022)
Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan
Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization. CoRR (2022)
Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Zongying Liu
Adaptive Resonance Theory-based Clustering for Handling Mixed Data. IJCNN (2022)
Yiming Peng, Hisao Ishibuchi
A Diversity-Enhanced Subset Selection Framework for Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. 26 (5) (2022)
Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang
Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization. CoRR (2022)
Jinyuan Zhang, Hisao Ishibuchi, Linjun He
A classification-assisted environmental selection strategy for multiobjective optimization. Swarm Evol. Comput. 71 (2022)
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
Difficulties in Fair Performance Comparison of Multi-Objective Evolutionary Algorithms [Research Frontier]. IEEE Comput. Intell. Mag. 17 (1) (2022)
Xinye Cai, Yushun Xiao, Zhenhua Li, Qi Sun, Hanchuan Xu, Miqing Li, Hisao Ishibuchi
A Kernel-Based Indicator for Multi/Many-Objective Optimization. IEEE Trans. Evol. Comput. 26 (4) (2022)
Xiongtao Zhang, Yusuke Nojima, Hisao Ishibuchi, Wenjun Hu, Shitong Wang
Prediction by Fuzzy Clustering and KNN on Validation Data With Parallel Ensemble of Interpretable TSK Fuzzy Classifiers. IEEE Trans. Syst. Man Cybern. Syst. 52 (1) (2022)
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
Counterintuitive Experimental Results in Evolutionary Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 26 (6) (2022)
Ke Shang, Weiduo Liao, Hisao Ishibuchi
HVC-Net: Deep Learning Based Hypervolume Contribution Approximation. PPSN (1) (2022)
Ke Shang, Weiyu Chen, Weiduo Liao, Hisao Ishibuchi
HV-Net: Hypervolume Approximation based on DeepSets. CoRR (2022)
Tianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi
Direction Vector Selection for R2-Based Hypervolume Contribution Approximation. PPSN (2) (2022)
Jose Maria Alonso-Moral, Corrado Mencar, Hisao Ishibuchi
Explainable and Trustworthy Artificial Intelligence [Guest Editorial]. IEEE Comput. Intell. Mag. 17 (1) (2022)
Hisao Ishibuchi, Yiming Peng, Lie Meng Pang
Multi-Modal Multi-Objective Test Problems with an Infinite Number of Equivalent Pareto Sets. CEC (2022)
Naoki Masuyama, Narito Amako, Yuna Yamada, Yusuke Nojima, Hisao Ishibuchi
Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning. CoRR (2022)
Weiyu Chen, Hisao Ishibuchi, Ke Shang
Fast Greedy Subset Selection From Large Candidate Solution Sets in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 26 (4) (2022)
Takato Kinoshita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi
Analytical Methods to Separately Evaluate Convergence and Diversity for Multi-objective Optimization. MIC (2022)
Naoki Masuyama, Itsuki Tsubota, Yusuke Nojima, Hisao Ishibuchi
Class-wise Classifier Design Capable of Continual Learning using Adaptive Resonance Theory-based Topological Clustering. CoRR (2022)
Kaiwen Li, Tao Zhang, Rui Wang, Ling Wang, Hisao Ishibuchi
An Evolutionary Multiobjective Knee-Based Lower Upper Bound Estimation Method for Wind Speed Interval Forecast. IEEE Trans. Evol. Comput. 26 (5) (2022)
Rahul Kumar Sevakula, Nishchal Kumar Verma, Hisao Ishibuchi
On fine-tuning of Autoencoders for Fuzzy rule classifiers. CoRR (2021)
Ke Shang, Hisao Ishibuchi, Linjun He, Lie Meng Pang
A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 25 (1) (2021)
Xinye Cai, Yushun Xiao, Miqing Li, Han Hu, Hisao Ishibuchi, Xiaoping Li
A Grid-Based Inverted Generational Distance for Multi/Many-Objective Optimization. IEEE Trans. Evol. Comput. 25 (1) (2021)
Jesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello, Michael Emmerich
On the Effect of the Cooperation of Indicator-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 25 (4) (2021)
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
Using a Genetic Algorithm-Based Hyper-Heuristic to Tune MOEA/D for a Set of Benchmark Test Problems. EMO (2021)
Jinyuan Zhang, Hisao Ishibuchi
Multiobjective Optimization with Fuzzy Classification-Assisted Environmental Selection. EMO (2021)
Bin Qin, Yusuke Nojima, Hisao Ishibuchi, Shitong Wang
Realizing Deep High-Order TSK Fuzzy Classifier by Ensembling Interpretable Zero-Order TSK Fuzzy Subclassifiers. IEEE Trans. Fuzzy Syst. 29 (11) (2021)
Cheng Gong, Lie Meng Pang, Hisao Ishibuchi
Initial Population Generation Method and its Effects on MOEA/D. SSCI (2021)
Jinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He, Lie Meng Pang, Yiming Peng
Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms. GECCO (2021)

Hisao Ishibuchi.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Hisao Ishibuchi