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HV-Net: Hypervolume Approximation based on DeepSets



Ke Shang , Weiyu Chen , Weiduo Liao , Hisao Ishibuchi


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



Ke Shang , Tianye Shu , Hisao Ishibuchi

* This paper is currently under review 

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



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

* This paper is currently under review 

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Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization



Weiyu Chen , Hisao Ishibuchi , Ke Shang

* IEEE SMC2021 

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Hypervolume-Optimal $μ$-Distributions on Line/Plane-based Pareto Fronts in Three Dimensions



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

* This paper has been submitted to a journal for review 

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



Weiyu Chen , Hisao Ishibuchi , Ke Shang

* This paper is under review for publication in the IEEE Trans. on Evolutionary Computation. arXiv admin note: substantial text overlap with arXiv:2007.02050 

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Evolutionary Multi-Objective Optimization Algorithm Framework with Three Solution Sets



Hisao Ishibuchi , Lie Meng Pang , Ke Shang


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Decomposition-Based Multi-Objective Evolutionary Algorithm Design under Two Algorithm Frameworks



Lie Meng Pang , Hisao Ishibuchi , Ke Shang


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Algorithm Configurations of MOEA/D with an Unbounded External Archive



Lie Meng Pang , Hisao Ishibuchi , Ke Shang


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