The following publications are possibly variants of this publication:
- What is a good direction vector set for the R2-based hypervolume contribution approximationYang Nan, Ke Shang, Hisao Ishibuchi. gecco 2020: 524-532 [doi]
- Direction Vector Selection for R2-Based Hypervolume Contribution ApproximationTianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi. ppsn 2022: 110-123 [doi]
- R2-Based Hypervolume Contribution ApproximationKe Shang, Hisao Ishibuchi, Xizi Ni. tec, 24(1):185-192, 2020. [doi]
- HVC-Net: Deep Learning Based Hypervolume Contribution ApproximationKe Shang, Weiduo Liao, Hisao Ishibuchi. ppsn 2022: 414-426 [doi]
- Erratum to "R2-Based Hypervolume Contribution Approximation"Ke Shang, Hisao Ishibuchi, Xizi Ni. tec, 24(4):807, 2020. [doi]
- STHV-Net: Hypervolume Approximation based on Set TransformerHan Zhu, Ke Shang, Hisao Ishibuchi. gecco 2023: 804-812 [doi]
- A Two-stage Hypervolume Contribution Approximation Method Based on R2 IndicatorYang Nan, Ke Shang, Hisao Ishibuchi, Linjun He. cec 2021: 2468-2475 [doi]