Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization

Bibliographic Details
Title:	Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization
Authors:	Dietrich, Konstantin^{Aff14, Aff15}, Prager, Raphael Patrick^Aff16, Doerr, Carola^Aff17, Trautmann, Heike^{Aff18, Aff19}
Contributors:	Goos, Gerhard, Series Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Yung, Moti, Editorial Board Member^Aff6, Affenzeller, Michael, editor^Aff7, Winkler, Stephan M., editor^Aff8, Kononova, Anna V., editor^Aff9, Trautmann, Heike, editor^Aff10, Tušar, Tea, editor^Aff11, Machado, Penousal, editor^Aff12, Bäck, Thomas, editor^Aff13
Source:	Parallel Problem Solving from Nature – PPSN XVIII : 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, Proceedings, Part II. 15149:154-169
Database:	Springer Nature eBooks

Description
ISBN:	9783031700675 9783031700682
DOI:	10.1007/978-3-031-70068-2_10