Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods

Bibliographic Details
Title: Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods
Authors: Prager, Raphael PatrickAff13, Seiler, Moritz VinzentAff13, Trautmann, HeikeAff13, Aff14, Kerschke, PascalAff15
Contributors: Goos, Gerhard, Founding EditorAff1, Hartmanis, Juris, Founding EditorAff2, Bertino, Elisa, Editorial Board MemberAff3, Gao, Wen, Editorial Board MemberAff4, Steffen, Bernhard, Editorial Board MemberAff5, Yung, Moti, Editorial Board MemberAff6, Rudolph, Günter, editorAff7, Kononova, Anna V., editorAff8, Aguirre, Hernán, editorAff9, Kerschke, Pascal, editorAff10, Ochoa, Gabriela, editorAff11, Tušar, Tea, editorAff12
Source: Parallel Problem Solving from Nature – PPSN XVII : 17th International Conference, PPSN 2022, Dortmund, Germany, September 10–14, 2022, Proceedings, Part I. 13398:3-17
Database: Springer Nature eBooks
Description
ISBN:9783031147135
9783031147142
DOI:10.1007/978-3-031-14714-2_1