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Viewing Publication 1 - 100 from 593

2025

Small Population Size is Enough in Many Cases with External ArchivesYang Nan 0001, Hisao Ishibuchi, Lie Meng Pang. emo 2025: 99-113 [doi]

Performance Analysis of Constrained Evolutionary Multi-objective Optimization Algorithms on Artificial and Real-World ProblemsYang Nan 0001, Hisao Ishibuchi, Lie Meng Pang. emo 2025: 72-84 [doi]

Gradient-Guided Local Search for Large-Scale Hypervolume Subset SelectionYang Nan 0001, Tianye Shu, Hisao Ishibuchi, Ke Shang. tec, 29(2):519-533, April 2025. [doi]

Visual Explanations of Some Problematic Search Behaviors of Frequently-Used EMO AlgorithmsHisao Ishibuchi, Lie Meng Pang. emo 2025: 3-16 [doi]

Enhancing NSGA-II with a Knee Point for Constrained Multi-objective OptimizationLie Meng Pang, Hisao Ishibuchi, Yang Nan 0001. emo 2025: 180-192 [doi]

Numerical Analysis of Pareto Set ModelingTianye Shu, Hisao Ishibuchi, Yang Nan 0001, Lie Meng Pang. emo 2025: 17-30 [doi]

Fusion of Explainable Deep Learning Features Using Fuzzy Integral in Computer VisionYifan Wang, Witold Pedrycz, Hisao Ishibuchi, Jihua Zhu. tfs, 33(1):156-167, January 2025. [doi]

Meta-Black-Box optimization for evolutionary algorithms: Review and perspectiveXu Yang, Rui Wang, Kaiwen Li, Hisao Ishibuchi. swevo, 93:101838, 2025. [doi]

2024

On the use of the Total Constraint Violation as an Additional Objective in Evolutionary Multi-Objective OptimizationYang Nan 0001, Hisao Ishibuchi, Tianye Shu, Cheng Gong. SMC 2024: 5048-5055 [doi]

Performance Evaluation of Evolutionary Multi-Objective Algorithms Using Real-World Problems with an Additional Total Constraint Violation ObjectiveYang Nan 0001, Hisao Ishibuchi, Tianye Shu. cec 2024: 1-6 [doi]

Analysis of Real-World Constrained Multi-Objective Problems and Performance Comparison of Multi-Objective AlgorithmsYang Nan 0001, Hisao Ishibuchi, Tianye Shu, Ke Shang. gecco 2024: [doi]

Gradient-Guided Local Search for IGD/IGDPlus Subset SelectionYang Nan 0001, Hisao Ishibuchi, Tianye Shu, Ke Shang. gecco 2024: [doi]

Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with MomentumLongcan Chen, Lie Meng Pang, Qingfu Zhang 0001, Hisao Ishibuchi. gecco 2024: [doi]

Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary AlgorithmsCheng Gong, Lie Meng Pang, Qingfu Zhang 0001, Hisao Ishibuchi. ppsn 2024: 52-67 [doi]

Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its ImplementationsCheng Gong, Yang Nan 0001, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang 0001. gecco 2024: [doi]

LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset SelectionCheng Gong, Ping Guo 0007, Tianye Shu, Qingfu Zhang 0001, Hisao Ishibuchi. ppsn 2024: 36-51 [doi]

Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack ProblemsCheng Gong, Yang Nan 0001, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang 0001. gecco 2024: [doi]

Interactive Final Solution Selection in Multi-Objective OptimizationCheng Gong, Yang Nan 0001, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang 0001. cec 2024: 1-9 [doi]

New Framework of Multi-Objective Evolutionary Algorithms with Unbounded External ArchiveHisao Ishibuchi, Lie Meng Pang, Ke Shang. gecco 2024: 883-902 [doi]

A Multi-objective Perspective Towards Improving Meta-GeneralizationWeiduo Liao, Ying Wei, Qirui Sun, Qingfu Zhang 0001, Hisao Ishibuchi. ijcnn 2024: 1-10 [doi]

Multi-objective evolutionary algorithm with evolutionary-status-driven environmental selectionKangnian Lin, Genghui Li, Qingyan Li, Zhenkun Wang, Hisao Ishibuchi, Hu Zhang. isci, 669:120551, 2024. [doi]

Evolutionary Multimodal Multiobjective Optimization for Traveling Salesman ProblemsYiping Liu, Liting Xu, Yuyan Han, Xiangxiang Zeng, Gary G. Yen, Hisao Ishibuchi. tec, 28(2):516-530, April 2024. [doi]

Privacy-Preserving Continual Federated Clustering via Adaptive Resonance TheoryNaoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota. access, 12:139692-139710, 2024. [doi]

Distance-Based Subset Selection With a Knee Point for Multi-Objective OptimizationLie Meng Pang, Hisao Ishibuchi. scisisis 2024: 1-5 [doi]

Reliability of Indicator-Based Comparison Results of Evolutionary Multi-objective AlgorithmsLie Meng Pang, Hisao Ishibuchi, Yang Nan 0001, Cheng Gong. ppsn 2024: 285-298 [doi]

Analysis of Algorithm Comparison Results on Real-World Multi-Objective ProblemsLie Meng Pang, Hisao Ishibuchi, Ke Shang. cec 2024: 1-9 [doi]

Hypervolume-Based Cooperative Coevolution With Two Reference Points for Multiobjective OptimizationLie Meng Pang, Hisao Ishibuchi, Linjun He, Ke Shang, Longcan Chen. tec, 28(4):1054-1068, August 2024. [doi]

Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution ApproximationKe Shang, Tianye Shu, Hisao Ishibuchi. tec, 28(1):105-116, February 2024. [doi]

A Variable-Length Fuzzy Set Representation for Learning Fuzzy-Classifier SystemsHiroki Shiraishi, Rongguang Ye, Hisao Ishibuchi, Masaya Nakata. ppsn 2024: 386-402 [doi]

Last-X-Generation Archiving Strategy for Multi-Objective Evolutionary AlgorithmsTianye Shu, Yang Nan 0001, Ke Shang, Hisao Ishibuchi. cec 2024: 1-8 [doi]

Learning Pareto Set for Multi-Objective Continuous Robot ControlTianye Shu, Ke Shang, Cheng Gong, Yang Nan 0001, Hisao Ishibuchi. IJCAI 2024: 4920-4928 [doi]

Convolutional Fuzzy Neural Networks With Random Weights for Image ClassificationYifan Wang, Hisao Ishibuchi, Witold Pedrycz, Jihua Zhu, Xiangyong Cao, Jun Wang 0024. tetci, 8(5):3279-3293, October 2024. [doi]

GHVC-Net: Hypervolume Contribution Approximation Based on Graph Neural NetworkGuotong Wu, Yang Nan 0001, Ke Shang, Hisao Ishibuchi. SMC 2024: 5339-5346 [doi]

Evolutionary Preference Sampling for Pareto Set LearningRongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi. gecco 2024: [doi]

Data-Driven Preference Sampling for Pareto Front LearningRongguang Ye, Lei Chen 0007, Weiduo Liao, Jinyuan Zhang, Hisao Ishibuchi. ijcnn 2024: 1-8 [doi]

An Unbounded Archive-Based Inverse Model in Evolutionary Multi-objective OptimizationRongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi. ppsn 2024: 186-201 [doi]

Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective OptimizationRongguang Ye, Longcan Chen, Wei-Bin Kou, Jinyuan Zhang, Hisao Ishibuchi. SMC 2024: 4730-4736 [doi]

Hypervolume Gradient Subspace ApproximationKenneth Zhang, Angel E. Rodriguez-Fernandez, Ke Shang, Hisao Ishibuchi, Oliver Schütze. ppsn 2024: 20-35 [doi]

2023

Two-Stage Lazy Greedy Inclusion Hypervolume Subset Selection for Large-Scale ProblemYang Nan 0001, Tianye Shu, Hisao Ishibuchi. SMC 2023: 1154-1161 [doi]

Effects of External Archives on the Performance of Multi-Objective Evolutionary Algorithms on Real-World ProblemsYang Nan 0001, Tianye Shu, Hisao Ishibuchi. cec 2023: 1-8 [doi]

An Improved Local Search Method for Large-Scale Hypervolume Subset SelectionYang Nan 0001, Ke Shang, Hisao Ishibuchi, Linjun He. tec, 27(6):1690-1704, December 2023. [doi]

Guest Editorial Special Issue on Deep Reinforcement Learning for Optimization: Methods and ApplicationRui Wang 0017, Lining Xing 0001, Maoguo Gong, Ponnuthurai Nagaratnam Suganthan, Hisao Ishibuchi. tetci, 7(4):981-982, August 2023. [doi]

Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous UAV Navigation in Large-Scale Complex EnvironmentsGuangyan An, Ziyu Wu, Zhilong Shen, Ke Shang, Hisao Ishibuchi. gecco 2023: 633-641 [doi]

On the utilization of pair-potential energy functions in multi-objective optimizationJesús Guillermo Falcón-Cardona, Edgar Covantes Osuna, Carlos A. Coello Coello, Hisao Ishibuchi. swevo, 79:101308, 2023. [doi]

Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary AlgorithmsCheng Gong, Lie Meng Pang, Yang Nan 0001, Hisao Ishibuchi, Qingfu Zhang 0001. SMC 2023: 1168-1175 [doi]

Initial Populations with a Few Heuristic Solutions Significantly Improve Evolutionary Multi-Objective Combinatorial OptimizationCheng Gong, Yang Nan 0001, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang 0001. ssci 2023: 1398-1405 [doi]

Examination of the Multimodal Nature of Multi-Objective Neural Architecture SearchCheng Gong, Yang Nan 0001, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang 0001. ssci 2023: 1821-1828 [doi]

Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective OptimizationCheng Gong, Yang Nan 0001, Lie Meng Pang, Qingfu Zhang 0001, Hisao Ishibuchi. gecco 2023: 661-669 [doi]

Preference-Based Nonlinear Normalization for Multiobjective OptimizationLinjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan. emo 2023: 563-577 [doi]

Effects of Objective Space Normalization in Multi-Objective Evolutionary Algorithms on Real-World ProblemsLinjun He, Yang Nan 0001, Hisao Ishibuchi, Dipti Srinivasan. gecco 2023: 670-678 [doi]

Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithmsLinjun He, Auraham Camacho, Yang Nan 0001, Anupam Trivedi, Hisao Ishibuchi, Dipti Srinivasan. swevo, 79:101305, 2023. [doi]

Relation Between Objective Space Normalization and Weight Vector Scaling in Decomposition-Based Multiobjective Evolutionary AlgorithmsLinjun He, Ke Shang, Yang Nan 0001, Hisao Ishibuchi, Dipti Srinivasan. tec, 27(5):1177-1191, October 2023. [doi]

Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world ProblemsHisao Ishibuchi, Yang Nan, Lie Meng Pang. emo 2023: 333-347 [doi]

Effects of Dominance Modification on Hypervolume-based and IGD-based Performance Evaluation Results of NSGA-IIHisao Ishibuchi, Lie Meng Pang, Ke Shang. gecco 2023: 679-687 [doi]

Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-Based Clustering for Many-Objective OptimizationTakato Kinoshita, Naoki Masuyama, Yiping Liu, Yusuke Nojima, Hisao Ishibuchi. access, 11:126066-126086, 2023. [doi]

Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation FrameworkWeiduo Liao, Ying Wei, Mingchen Jiang, Qingfu Zhang 0001, Hisao Ishibuchi. nips 2023: [doi]

Hybridization of Evolutionary Algorithm and Deep Reinforcement Learning for Multiobjective Orienteering OptimizationWei Liu, Rui Wang 0017, Tao Zhang 0033, Kaiwen Li, Wenhua Li, Hisao Ishibuchi, Xiangke Liao. tec, 27(5):1260-1274, October 2023. [doi]

Multi-Label Classification via Adaptive Resonance Theory-Based ClusteringNaoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi. pami, 45(7):8696-8712, July 2023. [doi]

Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale ProblemsYang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang. emo 2023: 391-404 [doi]

Fuzzy Classifiers with a Two-Stage Reject OptionYusuke Nojima, Koyo Kawano, Hajime Shimahara, Eric Vernon, Naoki Masuyama, Hisao Ishibuchi. fuzzIEEE 2023: 1-6 [doi]

A Decomposition-based Multi-modal Multi-objective Evolutionary Algorithm with Problem Transformation into Two-objective SubproblemsYusuke Nojima, Yuto Fujii, Naoki Masuyama, Yiping Liu, Hisao Ishibuchi. gecco 2023: 399-402 [doi]

How to Find a Large Solution Set to Cover the Entire Pareto Front in Evolutionary Multi-Objective OptimizationLie Meng Pang, Yang Nan 0001, Hisao Ishibuchi. SMC 2023: 1188-1194 [doi]

Partially Degenerate Multi-objective Test ProblemsLie Meng Pang, Yang Nan, Hisao Ishibuchi. emo 2023: 277-290 [doi]

Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on DecompositionLie Meng Pang, Hisao Ishibuchi, Ke Shang. tcyb, 53(11):7174-7186, November 2023. [doi]

Benchmarking large-scale subset selection in evolutionary multi-objective optimizationKe Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang. isci, 622:755-770, April 2023. [doi]

HV-Net: Hypervolume Approximation Based on DeepSetsKe Shang, Weiyu Chen, Weiduo Liao, Hisao Ishibuchi. tec, 27(4):1154-1160, 2023. [doi]

Two-Phase Procedure for Efficiently Removing Dominated Solutions From Large Solution SetsTianye Shu, Yang Nan 0001, Ke Shang, Hisao Ishibuchi. gecco 2023: 740-748 [doi]

Effects of Archive Size on Computation Time and Solution Quality for Multiobjective OptimizationTianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan 0001. tec, 27(4):1145-1153, 2023. [doi]

Unsupervised multilayer fuzzy neural networks for image clusteringYifan Wang, Hisao Ishibuchi, Meng Joo Er, Jihua Zhu. isci, 622:682-709, April 2023. [doi]

An Improved Fuzzy Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization Problems with Complicated Pareto SetsJinyuan Zhang, Linjun He, Hisao Ishibuchi. emo 2023: 231-246 [doi]

Dual-Fuzzy-Classifier-Based Evolutionary Algorithm for Expensive Multiobjective OptimizationJinyuan Zhang, Linjun He, Hisao Ishibuchi. tec, 27(6):1575-1589, December 2023. [doi]

STHV-Net: Hypervolume Approximation based on Set TransformerHan Zhu, Ke Shang, Hisao Ishibuchi. gecco 2023: 804-812 [doi]

2022

A Novel Dual-Stage Dual-Population Evolutionary Algorithm for Constrained Multiobjective OptimizationMengjun Ming 0001, Rui Wang 0017, Hisao Ishibuchi, Tao Zhang 0033. tec, 26(5):1129-1143, 2022. [doi]

Explainable and Trustworthy Artificial Intelligence [Guest Editorial]Jose Maria Alonso-Moral, Corrado Mencar, Hisao Ishibuchi. cim, 17(1):14-15, 2022. [doi]

A Kernel-Based Indicator for Multi/Many-Objective OptimizationXinye Cai, Yushun Xiao, Zhenhua Li, Qi Sun, Hanchuan Xu, Miqing Li, Hisao Ishibuchi. tec, 26(4):602-615, 2022. [doi]

New Solution Creation Operator in MOEA/D for Faster ConvergenceLongcan Chen, Lie Meng Pang, Hisao Ishibuchi. ppsn 2022: 234-246 [doi]

Fast Greedy Subset Selection From Large Candidate Solution Sets in Evolutionary Multiobjective OptimizationWeiyu Chen, Hisao Ishibuchi, Ke Shang. tec, 26(4):750-764, 2022. [doi]

Difficulties in fair performance comparison of multiobjective evolutionary algorithmsHisao Ishibuchi, Lie Meng Pang, Ke Shang. gecco 2022: 937-957 [doi]

Multi-Modal Multi-Objective Test Problems with an Infinite Number of Equivalent Pareto SetsHisao Ishibuchi, Yiming Peng, Lie Meng Pang. cec 2022: 1-8 [doi]

Difficulties in Fair Performance Comparison of Multi-Objective Evolutionary Algorithms [Research Frontier]Hisao Ishibuchi, Lie Meng Pang, Ke Shang. cim, 17(1):86-101, 2022. [doi]

Analytical Methods to Separately Evaluate Convergence and Diversity for Multi-objective OptimizationTakato Kinoshita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi. metaheuristics 2023: 172-186 [doi]

An Evolutionary Multiobjective Knee-Based Lower Upper Bound Estimation Method for Wind Speed Interval ForecastKaiwen Li, Tao Zhang 0033, Rui Wang 0017, Ling Wang 0001, Hisao Ishibuchi. tec, 26(5):1030-1042, 2022. [doi]

Adaptive Resonance Theory-based Clustering for Handling Mixed DataNaoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Zongying Liu. ijcnn 2022: 1-8 [doi]

Adaptive Resonance Theory-Based Topological Clustering With a Divisive Hierarchical Structure Capable of Continual LearningNaoki Masuyama, Narito Amako, Yuna Yamada, Yusuke Nojima, Hisao Ishibuchi. access, 10:68042-68056, 2022. [doi]

Evolutionary Multi-Objective Multi-Tasking for Fuzzy Genetics-Based Machine Learning in Multi-Label ClassificationYuichi Omozaki, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi. fuzzIEEE 2022: 1-8 [doi]

Counterintuitive Experimental Results in Evolutionary Large-Scale Multiobjective OptimizationLie Meng Pang, Hisao Ishibuchi, Ke Shang. tec, 26(6):1609-1616, 2022. [doi]

Dynamic Multi-modal Multi-objective Optimization: A Preliminary StudyYiming Peng, Hisao Ishibuchi. ppsn 2022: 138-150 [doi]

A Diversity-Enhanced Subset Selection Framework for Multimodal Multiobjective OptimizationYiming Peng, Hisao Ishibuchi. tec, 26(5):886-900, 2022. [doi]

Fuzzy rule dropout with dynamic compensation for wide learning algorithm of TSK fuzzy classifierBin Qin, Fulai Chung, Yusuke Nojima, Hisao Ishibuchi, Shitong Wang 0001. asc, 127:109410, 2022. [doi]

HVC-Net: Deep Learning Based Hypervolume Contribution ApproximationKe Shang, Weiduo Liao, Hisao Ishibuchi. ppsn 2022: 414-426 [doi]

Hypervolume-Optimal μ-Distributions on Line/Plane-Based Pareto Fronts in Three DimensionsKe Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan, Weiduo Liao. tec, 26(2):349-363, 2022. [doi]

Direction Vector Selection for R2-Based Hypervolume Contribution ApproximationTianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi. ppsn 2022: 110-123 [doi]

A classification-assisted environmental selection strategy for multiobjective optimizationJinyuan Zhang, Hisao Ishibuchi, Linjun He. swevo, 71:101074, 2022. [doi]

Prediction by Fuzzy Clustering and KNN on Validation Data With Parallel Ensemble of Interpretable TSK Fuzzy ClassifiersXiongtao Zhang, Yusuke Nojima, Hisao Ishibuchi, Wenjun Hu, Shitong Wang 0001. tsmc, 52(1):400-414, 2022. [doi]

2021

Periodical Generation Update using an Unbounded External Archive for Multi-Objective OptimizationLongcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang. cec 2021: 1912-1920 [doi]

Metric for evaluating normalization methods in multiobjective optimizationLinjun He, Hisao Ishibuchi, Dipti Srinivasan. gecco 2021: 403-411 [doi]

Using a Genetic Algorithm-Based Hyper-Heuristic to Tune MOEA/D for a Set of Benchmark Test ProblemsLie Meng Pang, Hisao Ishibuchi, Ke Shang. emo 2021: 164-177 [doi]

Proposal of a New Test Problem for Large-Scale Multi- and Many-Objective OptimizationLie Meng Pang, Ke Shang, Longcan Chen, Hisao Ishibuchi, Weiyu Chen. SMC 2021: 484-491 [doi]

Distance-based subset selection revisitedKe Shang, Hisao Ishibuchi, Yang Nan. gecco 2021: 439-447 [doi]

It Is Hard to Distinguish Between Dominance Resistant Solutions and Extremely Convex Pareto Optimal SolutionsQite Yang, Zhenkun Wang, Hisao Ishibuchi. emo 2021: 3-14 [doi]

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