Ke Shang

According to our database, Ke Shang authored at least 88 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Targeted Pareto Optimization for Subset Selection With Monotone Objective Function and Cardinality Constraint.

Ke Shang, Guotong Wu, Lie Meng Pang, Hisao Ishibuchi

IEEE Trans. Evol. Comput., August, 2025

Gradient-Guided Local Search for Large-Scale Hypervolume Subset Selection.

Yang Nan, Tianye Shu, Hisao Ishibuchi, Ke Shang

IEEE Trans. Evol. Comput., April, 2025

R2 Indicator Analysis using the Optimal Distributions of Solutions for R2 and Other Indicators.

Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

On the Quality of Large Non-dominated Archives.

Ke Shang, Tianye Shu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024

Hypervolume-Based Cooperative Coevolution With Two Reference Points for Multiobjective Optimization.

Lie Meng Pang, Hisao Ishibuchi, Linjun He, Ke Shang, Longcan Chen

IEEE Trans. Evol. Comput., August, 2024

Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation.

Ke Shang, Tianye Shu, Hisao Ishibuchi

IEEE Trans. Evol. Comput., February, 2024

GHVC-Net: Hypervolume Contribution Approximation Based on Graph Neural Network.

Guotong Wu, Yang Nan, Ke Shang, Hisao Ishibuchi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Hypervolume Gradient Subspace Approximation.

Kenneth Zhang, Angel E. Rodriguez-Fernandez, Ke Shang, Hisao Ishibuchi, Oliver Schütze

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Learning Pareto Set for Multi-Objective Continuous Robot Control.

Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

New Framework of Multi-Objective Evolutionary Algorithms with Unbounded External Archive.

Hisao Ishibuchi, Lie Meng Pang, Ke Shang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Gradient-Guided Local Search for IGD/IGDPlus Subset Selection.

Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Analysis of Real-World Constrained Multi-Objective Problems and Performance Comparison of Multi-Objective Algorithms.

Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Last-X-Generation Archiving Strategy for Multi-Objective Evolutionary Algorithms.

Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Analysis of Algorithm Comparison Results on Real-World Multi-Objective Problems.

Lie Meng Pang, Hisao Ishibuchi, Ke Shang

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

An Improved Local Search Method for Large-Scale Hypervolume Subset Selection.

Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He

IEEE Trans. Evol. Comput., December, 2023

Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on Decomposition.

Lie Meng Pang, Hisao Ishibuchi, Ke Shang

IEEE Trans. Cybern., November, 2023

Relation Between Objective Space Normalization and Weight Vector Scaling in Decomposition-Based Multiobjective Evolutionary Algorithms.

Linjun He, Ke Shang, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan

IEEE Trans. Evol. Comput., October, 2023

Benchmarking large-scale subset selection in evolutionary multi-objective optimization.

Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang

Inf. Sci., April, 2023

Effects of Archive Size on Computation Time and Solution Quality for Multiobjective Optimization.

Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan

IEEE Trans. Evol. Comput., 2023

HV-Net: Hypervolume Approximation Based on DeepSets.

Ke Shang, Weiyu Chen, Weiduo Liao, Hisao Ishibuchi

IEEE Trans. Evol. Comput., 2023

Normalization in R2-Based Hypervolume and Hypervolume Contribution Approximation.

Guotong Wu, Tianye Shu, Ke Shang, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Ensemble R2-based Hypervolume Contribution Approximation.

Guotong Wu, Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Analysis of Partition Methods for Dominated Solution Removal from Large Solution Sets.

Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts.

Ke Shang, Tianye Shu, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

STHV-Net: Hypervolume Approximation based on Set Transformer.

Han Zhu, Ke Shang, Hisao Ishibuchi

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Two-Phase Procedure for Efficiently Removing Dominated Solutions From Large Solution Sets.

Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Effects of Dominance Modification on Hypervolume-based and IGD-based Performance Evaluation Results of NSGA-II.

Hisao Ishibuchi, Lie Meng Pang, Ke Shang

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems.

Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022

Hypervolume-Optimal μ-Distributions on Line/Plane-Based Pareto Fronts in Three Dimensions.

Ke Shang, Hisao Ishibuchi, Weiyu Chen, Yang Nan, Weiduo Liao

IEEE Trans. Evol. Comput., 2022

Counterintuitive Experimental Results in Evolutionary Large-Scale Multiobjective Optimization.

Lie Meng Pang, Hisao Ishibuchi, Ke Shang

IEEE Trans. Evol. Comput., 2022

Fast Greedy Subset Selection From Large Candidate Solution Sets in Evolutionary Multiobjective Optimization.

Weiyu Chen, Hisao Ishibuchi, Ke Shang

IEEE Trans. Evol. Comput., 2022

Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization.

Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan

CoRR, 2022

Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization.

Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang

CoRR, 2022

Difficulties in Fair Performance Comparison of Multi-Objective Evolutionary Algorithms [Research Frontier].

Hisao Ishibuchi, Lie Meng Pang, Ke Shang

IEEE Comput. Intell. Mag., 2022

Direction Vector Selection for R2-Based Hypervolume Contribution Approximation.

Tianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

HVC-Net: Deep Learning Based Hypervolume Contribution Approximation.

Ke Shang, Weiduo Liao, Hisao Ishibuchi

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Difficulties in fair performance comparison of multiobjective evolutionary algorithms.

Hisao Ishibuchi, Lie Meng Pang, Ke Shang

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization.

Ke Shang, Hisao Ishibuchi, Linjun He, Lie Meng Pang

IEEE Trans. Evol. Comput., 2021

Fast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization.

Weiyu Chen, Hisao Ishibuchi, Ke Shang

CoRR, 2021

Periodical Weight Vector Update Using an Unbounded External Archive for Decomposition-Based Evolutionary Multi-Objective Optimization.

Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Reference Point Specification for Greedy Hypervolume Subset Selection.

Ke Shang, Hisao Ishibuchi, Lie Meng Pang, Yang Nan

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

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

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Improving Local Search Hypervolume Subset Selection in Evolutionary Multi-objective Optimization.

Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization.

Weiyu Chen, Hisao Ishibuchi, Ke Shang

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms.

Jinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He, Lie Meng Pang, Yiming Peng

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Distance-based subset selection revisited.

Ke Shang, Hisao Ishibuchi, Yang Nan

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Greedy approximated hypervolume subset selection for many-objective optimization.

Ke Shang, Hisao Ishibuchi, Weiyu Chen

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Improving the Efficiency of R2HCA-EMOA.

Ke Shang, Hisao Ishibuchi, Longcan Chen, Weiyu Chen, Lie Meng Pang

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

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

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

A Two-stage Hypervolume Contribution Approximation Method Based on R2 Indicator.

Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Periodical Generation Update using an Unbounded External Archive for Multi-Objective Optimization.

Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Erratum to "R2-Based Hypervolume Contribution Approximation".

Ke Shang, Hisao Ishibuchi, Xizi Ni

IEEE Trans. Evol. Comput., 2020

R2-Based Hypervolume Contribution Approximation.

Ke Shang, Hisao Ishibuchi, Xizi Ni

IEEE Trans. Evol. Comput., 2020

A New Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization.

Ke Shang, Hisao Ishibuchi

IEEE Trans. Evol. Comput., 2020

Evolutionary Multi-Objective Optimization Algorithm Framework with Three Solution Sets.

Hisao Ishibuchi, Lie Meng Pang, Ke Shang

CoRR, 2020

Solution Subset Selection for Final Decision Making in Evolutionary Multi-Objective Optimization.

Hisao Ishibuchi, Lie Meng Pang, Ke Shang

CoRR, 2020

Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multiobjective Optimization Algorithms.

Weiyu Chen, Hisao Ishibuchi, Ke Shang

CoRR, 2020

Simultaneous use of two normalization methods in decomposition-based multi-objective evolutionary algorithms.

Linjun He, Ke Shang, Hisao Ishibuchi

Appl. Soft Comput., 2020

Bi-Hierarchical Cooperative Coevolution for Large Scale Global Optimization.

Zhigang Ren, An Chen, Muyi Wang, Yang Yang, Yongsheng Liang, Ke Shang

IEEE Access, 2020

NSGA-II With Simple Modification Works Well on a Wide Variety of Many-Objective Problems.

Lie Meng Pang, Hisao Ishibuchi, Ke Shang

IEEE Access, 2020

Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm Frameworks.

Lie Meng Pang, Hisao Ishibuchi, Ke Shang

IEEE Access, 2020

Reverse Strategy for Non-Dominated Archiving.

Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He

IEEE Access, 2020

Transformation-based Hypervolume Indicator: A Framework for Designing Hypervolume Variants.

Ke Shang, Hisao Ishibuchi, Yang Nan, Weiyu Chen

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Performance Comparison of Multi-Objective Evolutionary Algorithms on Simple and Difficult Many-Objective Test Problems.

Longcan Chen, Ke Shang, Hisao Ishibuchi

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Algorithm Configurations of MOEA/D with an Unbounded External Archive.

Lie Meng Pang, Hisao Ishibuchi, Ke Shang

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Parallel Implementation of MOEA/D with Parallel Weight Vectors for Feature Selection.

Weiduo Liao, Hisao Ishibuchi, Lie Meng Pang, Ke Shang

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Numerical Analysis on Optimal Distributions of Solutions for Hypervolume Maximization.

Hisao Ishibuchi, Lie Meng Pang, Ke Shang

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Population Size Specification for Fair Comparison of Multi-objective Evolutionary Algorithms.

Hisao Ishibuchi, Lie Meng Pang, Ke Shang

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Hypervolume Optimal μ-Distributions on Line-Based Pareto Fronts in Three Dimensions.

Ke Shang, Hisao Ishibuchi, Weiyu Chen, Lukás Adam

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Proposal of a Realistic Many-Objective Test Suite.

Weiyu Chen, Hisao Ishibuchi, Ke Shang

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

What is a good direction vector set for the R2-based hypervolume contribution approximation.

Yang Nan, Ke Shang, Hisao Ishibuchi

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive.

Hisao Ishibuchi, Lie Meng Pang, Ke Shang

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution Sets.

Weiyu Chen, Hisao Ishibuchi, Ke Shang

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Modified Distance-based Subset Selection for Evolutionary Multi-objective Optimization Algorithms.

Weiyu Chen, Hisao Ishibuchi, Ke Shang

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

A Study of the Naïve Objective Space Normalization Method in MOEA/D.

Linjun He, Yang Nan, Ke Shang, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Multi-modal Multi-objective Optimization: Problem Analysis and Case Studies.

Yiming Peng, Hisao Ishibuchi, Ke Shang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Offline Automatic Parameter Tuning of MOEA/D Using Genetic Algorithm.

Lie Meng Pang, Hisao Ishibuchi, Ke Shang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Weak Convergence Detection-based Dynamic Reference Point Specification in SMS-EMOA.

Weiduo Liao, Ke Shang, Lie Meng Pang, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multi-objective Optimization Algorithms.

Weiyu Chen, Hisao Ishibuchi, Ke Shang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization.

Kanzhen Wan, Cheng He, Auraham Camacho, Ke Shang, Ran Cheng, Hisao Ishibuchi

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Scalable Multimodal Multiobjective Test Problem.

Hisao Ishibuchi, Yiming Peng, Ke Shang

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Regular Pareto Front Shape is not Realistic.

Hisao Ishibuchi, Linjun He, Ke Shang

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Improving 1by1EA to Handle Various Shapes of Pareto Fronts.

Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

A Double-Niched Evolutionary Algorithm and Its Behavior on Polygon-Based Problems.

Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

A new R2 indicator for better hypervolume approximation.

Ke Shang, Hisao Ishibuchi, Min-Ling Zhang, Yiping Liu

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Weight vector grid with new archive update mechanism for multi-objective optimization.

Xizi Ni, Hisao Ishibuchi, Kanzhen Wan, Ke Shang, Chukun Zhuang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018