%0 Conference Paper %1 conf/ssci/ShangSWNPI23 %A Shang, Ke %A Shu, Tianye %A Wu, Guotong %A Nan, Yang %A Pang, Lie Meng %A Ishibuchi, Hisao %B SSCI %D 2023 %I IEEE %K dblp %P 433-440 %T Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts. %U http://dblp.uni-trier.de/db/conf/ssci/ssci2023.html#ShangSWNPI23 %@ 978-1-6654-3065-4

@inproceedings{conf/ssci/ShangSWNPI23, added-at = {2024-01-15T00:00:00.000+0100}, author = {Shang, Ke and Shu, Tianye and Wu, Guotong and Nan, Yang and Pang, Lie Meng and Ishibuchi, Hisao}, biburl = {https://www.bibsonomy.org/bibtex/28fa6e714596cffae4045ae52ea92ccd6/dblp}, booktitle = {SSCI}, crossref = {conf/ssci/2023}, ee = {https://doi.org/10.1109/SSCI52147.2023.10372016}, interhash = {7a375a3a011a1bb7757636f6141d3039}, intrahash = {8fa6e714596cffae4045ae52ea92ccd6}, isbn = {978-1-6654-3065-4}, keywords = {dblp}, pages = {433-440}, publisher = {IEEE}, timestamp = {2024-04-10T01:49:08.000+0200}, title = {Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts.}, url = {http://dblp.uni-trier.de/db/conf/ssci/ssci2023.html#ShangSWNPI23}, year = 2023 }