%0 Conference Paper %1 conf/ppsn/ShangLI22 %A Shang, Ke %A Liao, Weiduo %A Ishibuchi, Hisao %B PPSN (1) %D 2022 %E Rudolph, Günter %E Kononova, Anna V. %E Aguirre, Hernán E. %E Kerschke, Pascal %E Ochoa, Gabriela %E Tusar, Tea %I Springer %K dblp %P 414-426 %T HVC-Net: Deep Learning Based Hypervolume Contribution Approximation. %U http://dblp.uni-trier.de/db/conf/ppsn/ppsn2022-1.html#ShangLI22 %V 13398 %@ 978-3-031-14714-2

@inproceedings{conf/ppsn/ShangLI22, added-at = {2022-08-16T00:00:00.000+0200}, author = {Shang, Ke and Liao, Weiduo and Ishibuchi, Hisao}, biburl = {https://www.bibsonomy.org/bibtex/22e7a20de0f7e53d8bdb4b6cab3031522/dblp}, booktitle = {PPSN (1)}, crossref = {conf/ppsn/2022-1}, editor = {Rudolph, Günter and Kononova, Anna V. and Aguirre, Hernán E. and Kerschke, Pascal and Ochoa, Gabriela and Tusar, Tea}, ee = {https://doi.org/10.1007/978-3-031-14714-2_29}, interhash = {4f3ad5e2976ae5fd4709d63188c05672}, intrahash = {2e7a20de0f7e53d8bdb4b6cab3031522}, isbn = {978-3-031-14714-2}, keywords = {dblp}, pages = {414-426}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-09T10:40:11.000+0200}, title = {HVC-Net: Deep Learning Based Hypervolume Contribution Approximation.}, url = {http://dblp.uni-trier.de/db/conf/ppsn/ppsn2022-1.html#ShangLI22}, volume = 13398, year = 2022 }