The following publications are possibly variants of this publication:
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- Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functionsHisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima. gecco 2010: 527-534 [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]
- Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution ApproximationKe Shang, Tianye Shu, Hisao Ishibuchi. tec, 28(1):105-116, February 2024. [doi]