Ke Shang

101 papers A* 1A 13B 20C 3Journal 41Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Efficient Evolutionary Algorithm for Few-for-Many Optimization.
CoRR
Ke Shang, Hisao Ishibuchi, Zexuan Zhu, Qingfu Zhang
2026 J jnl
Enhancing Pareto Set Learning with evolutionary multi-objective optimization.
Swarm Evol. Comput.
Ke Shang, Yu Wang, Zexuan Zhu, Hisao Ishibuchi
2025 J jnl
DPP-HSS: Toward Fast and Scalable Hypervolume Subset Selection for Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Cheng Gong, Yang Nan, Ke Shang, Ping Guo, Hisao Ishibuchi, Qingfu Zhang
2025 J jnl
Gradient-Guided Local Search for Large-Scale Hypervolume Subset Selection.
IEEE Trans. Evol. Comput.
Yang Nan, Tianye Shu, Hisao Ishibuchi, Ke Shang
2025 J jnl
MaNSGA-II: Many-Objective NSGA-II.
IEEE Trans. Emerg. Top. Comput. Intell.
Lie Meng Pang, Hisao Ishibuchi, Kalyanmoy Deb, Ke Shang
2025 B conf
On the Quality of Large Non-dominated Archives.
CEC
Ke Shang, Tianye Shu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi
2025 A conf
R2 Indicator Analysis using the Optimal Distributions of Solutions for R2 and Other Indicators.
GECCO
Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
2025 — conf
Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems.
PRICAI (4)
Ke Shang, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi
2025 J jnl
Targeted Pareto Optimization for Subset Selection With Monotone Objective Function and Cardinality Constraint.
IEEE Trans. Evol. Comput.
Ke Shang, Guotong Wu, Lie Meng Pang, Hisao Ishibuchi
2024 B conf
Analysis of Algorithm Comparison Results on Real-World Multi-Objective Problems.
CEC
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2024 A conf
Analysis of Real-World Constrained Multi-Objective Problems and Performance Comparison of Multi-Objective Algorithms.
GECCO
Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
2024 B conf
GHVC-Net: Hypervolume Contribution Approximation Based on Graph Neural Network.
SMC
Guotong Wu, Yang Nan, Ke Shang, Hisao Ishibuchi
2024 A conf
Gradient-Guided Local Search for IGD/IGDPlus Subset Selection.
GECCO
Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
2024 — conf
Hypervolume Gradient Subspace Approximation.
PPSN (4)
Kenneth Zhang, Angel E. Rodriguez-Fernandez, Ke Shang, Hisao Ishibuchi, Oliver Schütze
2024 J jnl
Hypervolume-Based Cooperative Coevolution With Two Reference Points for Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Lie Meng Pang, Hisao Ishibuchi, Linjun He, Ke Shang, Longcan Chen
2024 B conf
Last-X-Generation Archiving Strategy for Multi-Objective Evolutionary Algorithms.
CEC
Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
2024 A* conf
Learning Pareto Set for Multi-Objective Continuous Robot Control.
IJCAI
Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi
2024 J jnl
Learning Pareto Set for Multi-Objective Continuous Robot Control.
CoRR
Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi
2024 J jnl
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation.
IEEE Trans. Evol. Comput.
Ke Shang, Tianye Shu, Hisao Ishibuchi
2024 — conf
New Framework of Multi-Objective Evolutionary Algorithms with Unbounded External Archive.
GECCO Companion
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2023 J jnl
An Improved Local Search Method for Large-Scale Hypervolume Subset Selection.
IEEE Trans. Evol. Comput.
Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He
2023 — conf
Analysis of Partition Methods for Dominated Solution Removal from Large Solution Sets.
SSCI
Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
2023 J jnl
Benchmarking large-scale subset selection in evolutionary multi-objective optimization.
Inf. Sci.
Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang
2023 J jnl
Effects of Archive Size on Computation Time and Solution Quality for Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan
2023 A conf
Effects of Dominance Modification on Hypervolume-based and IGD-based Performance Evaluation Results of NSGA-II.
GECCO
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2023 — conf
Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts.
SSCI
Ke Shang, Tianye Shu, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi
2023 — conf
Ensemble R2-based Hypervolume Contribution Approximation.
SSCI
Guotong Wu, Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
2023 A conf
Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous UAV Navigation in Large-Scale Complex Environments.
GECCO
Guangyan An, Ziyu Wu, Zhilong Shen, Ke Shang, Hisao Ishibuchi
2023 J jnl
HV-Net: Hypervolume Approximation Based on DeepSets.
IEEE Trans. Evol. Comput.
Ke Shang, Weiyu Chen, Weiduo Liao, Hisao Ishibuchi
2023 — conf
Normalization in R2-Based Hypervolume and Hypervolume Contribution Approximation.
SSCI
Guotong Wu, Tianye Shu, Ke Shang, Hisao Ishibuchi
2023 J jnl
Relation Between Objective Space Normalization and Weight Vector Scaling in Decomposition-Based Multiobjective Evolutionary Algorithms.
IEEE Trans. Evol. Comput.
Linjun He, Ke Shang, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan
2023 A conf
STHV-Net: Hypervolume Approximation based on Set Transformer.
GECCO
Han Zhu, Ke Shang, Hisao Ishibuchi
2023 A conf
Two-Phase Procedure for Efficiently Removing Dominated Solutions From Large Solution Sets.
GECCO
Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
2023 C conf
Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems.
EMO
Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
2023 J jnl
Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on Decomposition.
IEEE Trans. Cybern.
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2022 J jnl
Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization.
CoRR
Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang
2022 J jnl
Counterintuitive Experimental Results in Evolutionary Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2022 J jnl
Difficulties in Fair Performance Comparison of Multi-Objective Evolutionary Algorithms [Research Frontier].
IEEE Comput. Intell. Mag.
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2022 — conf
Difficulties in fair performance comparison of multiobjective evolutionary algorithms.
GECCO Companion
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2022 — conf
Direction Vector Selection for R2-Based Hypervolume Contribution Approximation.
PPSN (2)
Tianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi
2022 J jnl
Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization.
CoRR
Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan
2022 J jnl
Fast Greedy Subset Selection From Large Candidate Solution Sets in Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Weiyu Chen, Hisao Ishibuchi, Ke Shang
2022 J jnl
HV-Net: Hypervolume Approximation based on DeepSets.
CoRR
Ke Shang, Weiyu Chen, Weiduo Liao, Hisao Ishibuchi
2022 — conf
HVC-Net: Deep Learning Based Hypervolume Contribution Approximation.
PPSN (1)
Ke Shang, Weiduo Liao, Hisao Ishibuchi
2022 J jnl
Hypervolume-Optimal μ-Distributions on Line/Plane-Based Pareto Fronts in Three Dimensions.
IEEE Trans. Evol. Comput.
Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan, Weiduo Liao
2022 J jnl
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation.
CoRR
Ke Shang, Tianye Shu, Hisao Ishibuchi
2021 J jnl
A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Ke Shang, Hisao Ishibuchi, Linjun He, Lie Meng Pang
2021 B conf
A Two-stage Hypervolume Contribution Approximation Method Based on R2 Indicator.
CEC
Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He
2021 B conf
Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization.
SMC
Weiyu Chen, Hisao Ishibuchi, Ke Shang
2021 J jnl
Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization.
CoRR
Weiyu Chen, Hisao Ishibuchi, Ke Shang
2021 A conf
Distance-based subset selection revisited.
GECCO
Ke Shang, Hisao Ishibuchi, Yang Nan
2021 A conf
Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms.
GECCO
Jinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He, Lie Meng Pang, Yiming Peng
2021 J jnl
Fast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization.
CoRR
Weiyu Chen, Hisao Ishibuchi, Ke Shang
2021 A conf
Greedy approximated hypervolume subset selection for many-objective optimization.
GECCO
Ke Shang, Hisao Ishibuchi, Weiyu Chen
2021 J jnl
Hypervolume-Optimal μ-Distributions on Line/Plane-based Pareto Fronts in Three Dimensions.
CoRR
Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan, Weiduo Liao
2021 B conf
Improving Local Search Hypervolume Subset Selection in Evolutionary Multi-objective Optimization.
SMC
Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He
2021 C conf
Improving the Efficiency of R2HCA-EMOA.
EMO
Ke Shang, Hisao Ishibuchi, Longcan Chen, Weiyu Chen, Lie Meng Pang
2021 B conf
Periodical Generation Update using an Unbounded External Archive for Multi-Objective Optimization.
CEC
Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2021 — conf
Periodical Weight Vector Update Using an Unbounded External Archive for Decomposition-Based Evolutionary Multi-Objective Optimization.
SSCI
Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2021 B conf
Proposal of a New Test Problem for Large-Scale Multi- and Many-Objective Optimization.
SMC
Lie Meng Pang, Ke Shang, Longcan Chen, Hisao Ishibuchi, Weiyu Chen
2021 B conf
Reference Point Specification for Greedy Hypervolume Subset Selection.
SMC
Ke Shang, Hisao Ishibuchi, Lie Meng Pang, Yang Nan
2021 C conf
Using a Genetic Algorithm-Based Hyper-Heuristic to Tune MOEA/D for a Set of Benchmark Test Problems.
EMO
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2021 B conf
Using a Genetic Algorithm-based Hyper-heuristic to Tune MOEA/D for a Set of Various Test Problems.
CEC
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2020 A conf
A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive.
ECAI
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2020 J jnl
A New Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Ke Shang, Hisao Ishibuchi
2020 B conf
Algorithm Configurations of MOEA/D with an Unbounded External Archive.
SMC
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2020 J jnl
Algorithm Configurations of MOEA/D with an Unbounded External Archive.
CoRR
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2020 J jnl
Bi-Hierarchical Cooperative Coevolution for Large Scale Global Optimization.
IEEE Access
Zhigang Ren, An Chen, Muyi Wang, Yang Yang, Yongsheng Liang, Ke Shang
2020 J jnl
Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm Frameworks.
IEEE Access
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2020 J jnl
Decomposition-Based Multi-Objective Evolutionary Algorithm Design under Two Algorithm Frameworks.
CoRR
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2020 J jnl
Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multiobjective Optimization Algorithms.
CoRR
Weiyu Chen, Hisao Ishibuchi, Ke Shang
2020 J jnl
Erratum to "R2-Based Hypervolume Contribution Approximation".
IEEE Trans. Evol. Comput.
Ke Shang, Hisao Ishibuchi, Xizi Ni
2020 J jnl
Evolutionary Multi-Objective Optimization Algorithm Framework with Three Solution Sets.
CoRR
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2020 — conf
Hypervolume Optimal μ-Distributions on Line-Based Pareto Fronts in Three Dimensions.
PPSN (2)
Ke Shang, Hisao Ishibuchi, Weiyu Chen, Lukás Adam
2020 B conf
Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution Sets.
CEC
Weiyu Chen, Hisao Ishibuchi, Ke Shang
2020 J jnl
Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution Sets.
CoRR
Weiyu Chen, Hisao Ishibuchi, Ke Shang
2020 B conf
Modified Distance-based Subset Selection for Evolutionary Multi-objective Optimization Algorithms.
CEC
Weiyu Chen, Hisao Ishibuchi, Ke Shang
2020 J jnl
NSGA-II With Simple Modification Works Well on a Wide Variety of Many-Objective Problems.
IEEE Access
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2020 B conf
Numerical Analysis on Optimal Distributions of Solutions for Hypervolume Maximization.
SMC
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2020 B conf
Parallel Implementation of MOEA/D with Parallel Weight Vectors for Feature Selection.
SMC
Weiduo Liao, Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2020 — conf
Performance Comparison of Multi-Objective Evolutionary Algorithms on Simple and Difficult Many-Objective Test Problems.
SSCI
Longcan Chen, Ke Shang, Hisao Ishibuchi
2020 B conf
Population Size Specification for Fair Comparison of Multi-objective Evolutionary Algorithms.
SMC
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2020 — conf
Proposal of a Realistic Many-Objective Test Suite.
PPSN (1)
Weiyu Chen, Hisao Ishibuchi, Ke Shang
2020 J jnl
R2-Based Hypervolume Contribution Approximation.
IEEE Trans. Evol. Comput.
Ke Shang, Hisao Ishibuchi, Xizi Ni
2020 J jnl
Reverse Strategy for Non-Dominated Archiving.
IEEE Access
Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He
2020 J jnl
Simultaneous use of two normalization methods in decomposition-based multi-objective evolutionary algorithms.
Appl. Soft Comput.
Linjun He, Ke Shang, Hisao Ishibuchi
2020 J jnl
Solution Subset Selection for Final Decision Making in Evolutionary Multi-Objective Optimization.
CoRR
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2020 — conf
Transformation-based Hypervolume Indicator: A Framework for Designing Hypervolume Variants.
SSCI
Ke Shang, Hisao Ishibuchi, Yang Nan, Weiyu Chen
2020 A conf
What is a good direction vector set for the R2-based hypervolume contribution approximation.
GECCO
Yang Nan, Ke Shang, Hisao Ishibuchi
2019 B conf
A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization.
CEC
Kanzhen Wan, Cheng He, Auraham Camacho, Ke Shang, Ran Cheng, Hisao Ishibuchi
2019 B conf
A Scalable Multimodal Multiobjective Test Problem.
CEC
Hisao Ishibuchi, Yiming Peng, Ke Shang
2019 — conf
A Study of the Naïve Objective Space Normalization Method in MOEA/D.
SSCI
Linjun He, Yang Nan, Ke Shang, Hisao Ishibuchi
2019 — conf
Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multi-objective Optimization Algorithms.
SSCI
Weiyu Chen, Hisao Ishibuchi, Ke Shang
2019 — conf
Multi-modal Multi-objective Optimization: Problem Analysis and Case Studies.
SSCI
Yiming Peng, Hisao Ishibuchi, Ke Shang
2019 — conf
Offline Automatic Parameter Tuning of MOEA/D Using Genetic Algorithm.
SSCI
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2019 B conf
Regular Pareto Front Shape is not Realistic.
CEC
Hisao Ishibuchi, Linjun He, Ke Shang
2019 — conf
Weak Convergence Detection-based Dynamic Reference Point Specification in SMS-EMOA.
SSCI
Weiduo Liao, Ke Shang, Lie Meng Pang, Hisao Ishibuchi
2018 — conf
A Double-Niched Evolutionary Algorithm and Its Behavior on Polygon-Based Problems.
PPSN (1)
Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang
2018 A conf
A new R2 indicator for better hypervolume approximation.
GECCO
Ke Shang, Hisao Ishibuchi, Min-Ling Zhang, Yiping Liu
2018 — conf
Improving 1by1EA to Handle Various Shapes of Pareto Fronts.
PPSN (1)
Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang
2018 — conf
Weight vector grid with new archive update mechanism for multi-objective optimization.
GECCO (Companion)
Xizi Ni, Hisao Ishibuchi, Kanzhen Wan, Ke Shang, Chukun Zhuang