Hisao Ishibuchi - researchr alias

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Viewing Publication 1 - 100 from 526

2023

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

A Grid-Based Inverted Generational Distance for Multi/Many-Objective OptimizationXinye Cai, Yushun Xiao, Miqing Li, Han Hu, Hisao Ishibuchi, Xiaoping Li 0001. tec, 25(1):21-34, 2021. [doi]

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]

Periodical Weight Vector Update Using an Unbounded External Archive for Decomposition-Based Evolutionary Multi-Objective OptimizationLongcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang. ssci 2021: 1-8 [doi]

Clustering-Based Subset Selection in Evolutionary Multiobjective OptimizationWeiyu Chen, Hisao Ishibuchi, Ke Shang. SMC 2021: 468-475 [doi]

On the Effect of the Cooperation of Indicator-Based Multiobjective Evolutionary AlgorithmsJesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello, Michael Emmerich. tec, 25(4):681-695, 2021. [doi]

Initial Population Generation Method and its Effects on MOEA/DCheng Gong, Lie Meng Pang, Hisao Ishibuchi. ssci 2021: 1-8 [doi]

Fuzzy Style K-Plane ClusteringSuhang Gu, Yusuke Nojima, Hisao Ishibuchi, Shitong Wang 0001. tfs, 29(6):1518-1532, 2021. [doi]

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

A Survey of Normalization Methods in Multiobjective Evolutionary AlgorithmsLinjun He, Hisao Ishibuchi, Anupam Trivedi, Handing Wang, Yang Nan, Dipti Srinivasan. tec, 25(6):1028-1048, 2021. [doi]

Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multiobjective OptimizationWenhua Li, Tao Zhang 0033, Rui Wang 0017, Hisao Ishibuchi. tec, 25(6):1064-1078, 2021. [doi]

Multi-Modal Multi-Objective Traveling Salesman Problem and its Evolutionary OptimizerYiping Liu, Liting Xu, Yuyan Han, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Gary G. Yen. SMC 2021: 770-777 [doi]

Improving Local Search Hypervolume Subset Selection in Evolutionary Multi-objective OptimizationYang Nan, Ke Shang, Hisao Ishibuchi, Linjun He. SMC 2021: 751-757 [doi]

A Two-stage Hypervolume Contribution Approximation Method Based on R2 IndicatorYang Nan, Ke Shang, Hisao Ishibuchi, Linjun He. cec 2021: 2468-2475 [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]

Using a Genetic Algorithm-based Hyper-heuristic to Tune MOEA/D for a Set of Various Test ProblemsLie Meng Pang, Hisao Ishibuchi, Ke Shang. cec 2021: 1486-1494 [doi]

A Decomposition-based Hybrid Evolutionary Algorithm for Multi-modal Multi-objective OptimizationYiming Peng, Hisao Ishibuchi. SMC 2021: 160-167 [doi]

Niching Diversity Estimation for Multi-modal Multi-objective OptimizationYiming Peng, Hisao Ishibuchi. emo 2021: 323-334 [doi]

Realizing Deep High-Order TSK Fuzzy Classifier by Ensembling Interpretable Zero-Order TSK Fuzzy SubclassifiersBin Qin, Yusuke Nojima, Hisao Ishibuchi, Shitong Wang 0001. tfs, 29(11):3441-3455, 2021. [doi]

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

Reference Point Specification for Greedy Hypervolume Subset SelectionKe Shang, Hisao Ishibuchi, Lie Meng Pang, Yang Nan. SMC 2021: 168-175 [doi]

Greedy approximated hypervolume subset selection for many-objective optimizationKe Shang, Hisao Ishibuchi, Weiyu Chen. gecco 2021: 448-456 [doi]

Improving the Efficiency of R2HCA-EMOAKe Shang, Hisao Ishibuchi, Longcan Chen, Weiyu Chen, Lie Meng Pang. emo 2021: 115-125 [doi]

A Survey on the Hypervolume Indicator in Evolutionary Multiobjective OptimizationKe Shang, Hisao Ishibuchi, Linjun He, Lie Meng Pang. tec, 25(1):1-20, 2021. [doi]

Unsupervised Fuzzy Neural Network for Image ClusteringYifan Wang, Hisao Ishibuchi, Jihua Zhu, Yaxiong Wang, Tao Dai. fuzzIEEE 2021: 1-6 [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]

Multiobjective Optimization with Fuzzy Classification-Assisted Environmental SelectionJinyuan Zhang, Hisao Ishibuchi. emo 2021: 580-592 [doi]

Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithmsJinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He, Lie Meng Pang, Yiming Peng. gecco 2021: 485-492 [doi]

Robust TSK Fuzzy System Based on Semisupervised Learning for Label Noise DataTe Zhang, Zhaohong Deng, Hisao Ishibuchi, Lie Meng Pang. tfs, 29(8):2145-2157, 2021. [doi]

2020

Multilayer Clustering Based on Adaptive Resonance Theory for Noisy EnvironmentsNarito Amako, Naoki Masuyama, Chu Kiong Loo, Yusuke Nojima, Yiping Liu, Hisao Ishibuchi. ijcnn 2020: 1-8 [doi]

Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution SetsWeiyu Chen, Hisao Ishibuchi, Ke Shang. cec 2020: 1-8 [doi]

Performance Comparison of Multi-Objective Evolutionary Algorithms on Simple and Difficult Many-Objective Test ProblemsLongcan Chen, Ke Shang, Hisao Ishibuchi. ssci 2020: 2461-2468 [doi]

Proposal of a Realistic Many-Objective Test SuiteWeiyu Chen, Hisao Ishibuchi, Ke Shang. ppsn 2020: 201-214 [doi]

Modified Distance-based Subset Selection for Evolutionary Multi-objective Optimization AlgorithmsWeiyu Chen, Hisao Ishibuchi, Ke Shang. cec 2020: 1-8 [doi]

Riesz s-energy-based Reference Sets for Multi-Objective optimizationJesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello. cec 2020: 1-8 [doi]

Exploiting the Trade-off between Convergence and Diversity IndicatorsJesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello. ssci 2020: 141-148 [doi]

A Novel Classification Method From the Perspective of Fuzzy Social Networks Based on Physical and Implicit Style Features of DataSuhang Gu, Yusuke Nojima, Hisao Ishibuchi, Shitong Wang 0001. tfs, 28(2):361-375, 2020. [doi]

Effects of Local Mating in Inter-task Crossover on the Performance of Decomposition-based Evolutionary Multiobjective Multitask optimization AlgorithmsRyuichi Hashimoto, Toshiki Urita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi. cec 2020: 1-8 [doi]

Another difficulty of inverted triangular pareto fronts for decomposition-based multi-objective algorithmsLinjun He, Auraham Camacho, Hisao Ishibuchi. gecco 2020: 498-506 [doi]

Dynamic Normalization in MOEA/D for Multiobjective optimizationLinjun He, Hisao Ishibuchi, Anupam Trivedi, Dipti Srinivasan. cec 2020: 1-8 [doi]

Simultaneous use of two normalization methods in decomposition-based multi-objective evolutionary algorithmsLinjun He, Ke Shang, Hisao Ishibuchi. asc, 92:106316, 2020. [doi]

Effects of dominance resistant solutions on the performance of evolutionary multi-objective and many-objective algorithmsHisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima. gecco 2020: 507-515 [doi]

A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External ArchiveHisao Ishibuchi, Lie Meng Pang, Ke Shang. ecai 2020: 283-290 [doi]

Population Size Specification for Fair Comparison of Multi-objective Evolutionary AlgorithmsHisao Ishibuchi, Lie Meng Pang, Ke Shang. SMC 2020: 1095-1102 [doi]

Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary AlgorithmsHisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima. ecai 2020: 291-298 [doi]

Numerical Analysis on Optimal Distributions of Solutions for Hypervolume MaximizationHisao Ishibuchi, Lie Meng Pang, Ke Shang. SMC 2020: 1103-1110 [doi]

Evolutionary many-objective optimizationHisao Ishibuchi, Hiroyuki Sato. gecco 2020: 428-457 [doi]

Optimizing Long-Term Bank Financial Products Portfolio Problems with a Multiobjective Evolutionary ApproachJian-xiong, Chao Zhang, Gang Kou, Rui Wang 0017, Hisao Ishibuchi, Fawaz E. Alsaadi. complexity, 2020, 2020. [doi]

Parallel Implementation of MOEA/D with Parallel Weight Vectors for Feature SelectionWeiduo Liao, Hisao Ishibuchi, Lie Meng Pang, Ke Shang. SMC 2020: 1524-1531 [doi]

On the Normalization in Evolutionary Multi-Modal Multi-Objective OptimizationYiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama, Yuyan Han. cec 2020: 1-8 [doi]

Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto FrontsYiping Liu, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima. tec, 24(3):439-453, 2020. [doi]

Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multimodal Multiobjective OptimizationYiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama. tec, 24(3):551-565, 2020. [doi]

Multi-label Classification Based on Adaptive Resonance TheoryNaoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi. ssci 2020: 1913-1920 [doi]

What is a good direction vector set for the R2-based hypervolume contribution approximationYang Nan, Ke Shang, Hisao Ishibuchi. gecco 2020: 524-532 [doi]

Reverse Strategy for Non-Dominated ArchivingYang Nan, Ke Shang, Hisao Ishibuchi, Linjun He. access, 8:119458-119469, 2020. [doi]

Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic MechanismsBach Hoai Nguyen, Bing Xue 0001, Peter Andreae, Hisao Ishibuchi, Mengjie Zhang. tec, 24(1):170-184, 2020. [doi]

Multiobjective Fuzzy Genetics-Based Machine Learning for Multi-Label ClassificationYuichi Omozaki, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi. fuzzIEEE 2020: 1-8 [doi]

Algorithm Configurations of MOEA/D with an Unbounded External ArchiveLie Meng Pang, Hisao Ishibuchi, Ke Shang. SMC 2020: 1087-1094 [doi]

Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm FrameworksLie Meng Pang, Hisao Ishibuchi, Ke Shang. access, 8:163197-163208, 2020. [doi]

NSGA-II With Simple Modification Works Well on a Wide Variety of Many-Objective ProblemsLie Meng Pang, Hisao Ishibuchi, Ke Shang. access, 8:190240-190250, 2020. [doi]

A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis MethodologyLie Meng Pang, Kai Meng Tay, Chee Peng Lim, Hisao Ishibuchi. access, 8:144908-144930, 2020. [doi]

A Decomposition-based Large-scale Multi-modal Multi-objective optimization AlgorithmYiming Peng, Hisao Ishibuchi. cec 2020: 1-8 [doi]

Transformation-based Hypervolume Indicator: A Framework for Designing Hypervolume VariantsKe Shang, Hisao Ishibuchi, Yang Nan, Weiyu Chen. ssci 2020: 157-164 [doi]

Hypervolume Optimal μ-Distributions on Line-Based Pareto Fronts in Three DimensionsKe Shang, Hisao Ishibuchi, Weiyu Chen, Lukás Adam. ppsn 2020: 257-270 [doi]

Erratum to "R2-Based Hypervolume Contribution Approximation"Ke Shang, Hisao Ishibuchi, Xizi Ni. tec, 24(4):807, 2020. [doi]

A New Hypervolume-Based Evolutionary Algorithm for Many-Objective OptimizationKe Shang, Hisao Ishibuchi. tec, 24(5):839-852, 2020. [doi]

R2-Based Hypervolume Contribution ApproximationKe Shang, Hisao Ishibuchi, Xizi Ni. tec, 24(1):185-192, 2020. [doi]

An Analysis of Quality Indicators Using Approximated Optimal Distributions in a 3-D Objective SpaceRyoji Tanabe, Hisao Ishibuchi. tec, 24(5):853-867, 2020. [doi]

A Review of Evolutionary Multimodal Multiobjective OptimizationRyoji Tanabe, Hisao Ishibuchi. tec, 24(1):193-200, 2020. [doi]

An easy-to-use real-world multi-objective optimization problem suiteRyoji Tanabe, Hisao Ishibuchi. asc, 89:106078, 2020. [doi]

A Framework to Handle Multimodal Multiobjective Optimization in Decomposition-Based Evolutionary AlgorithmsRyoji Tanabe, Hisao Ishibuchi. tec, 24(4):720-734, 2020. [doi]

Divisive Hierarchical Clustering Based on Adaptive Resonance TheoryYuna Yamada, Naoki Masuyama, Narito Amako, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi. ccs3 2020: 1-6 [doi]

2019

Multi-modal Multi-objective Optimization: Problem Analysis and Case StudiesYiming Peng, Hisao Ishibuchi, Ke Shang. ssci 2019: 1865-1872 [doi]

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