AutoFolio swMATH ID: 38660 Software Authors: Lindauer, M., Hoos, H., Hutter, F., Schaub, T. Description: AutoFolio is an algorithm selection tool, i.e., selecting a well-performing algorithm for a given instance [Rice 1976]. In contrast to other algorithm selection tools, users of AutoFolio are bothered with the decision which algorithm selection approach to use and how to set its hyper-parameters. AutoFolio uses one of the state-of-the-art algorithm configuration tools, namely SMAC [Hutter et al LION’16] to automatically determine a well-performing algorithm selection approach and its hyper-parameters for a given algorithm selection data. Therefore, AutoFolio has a robust performance across different algorithm selection tasks. Homepage: https://www.ijcai.org/proceedings/2017/0715.pdf Source Code: https://github.com/mlindauer/AutoFolio Related Software: SATzilla; SMAC; Auto-WEKA; irace; auto-sklearn; ASlib; claspfolio 2; AClib; Paramils; SUNNY; aspeed; llama; Spearmint; OpenML; Proteus; WEKA; MiniZinc; OpenTuner; Spybug; MiniSat Cited in: 7 Publications all top 5 Cited by 22 Authors 4 Lindauer, Marius 3 Hutter, Frank 2 Eggensperger, Katharina 2 Hoos, Holger H. 2 Kotthoff, Lars 2 Leyton-Brown, Kevin 1 Bischl, Bernd 1 Buriol, Luciana S. 1 Camponogara, Eduardo 1 Fréchette, Alexandre 1 Friske, Marcelo W. 1 Gunawan, Aldy 1 Kerschke, Pascal 1 Lonsing, Florian 1 Malitsky, Yuri 1 Mısır, Mustafa 1 Seidl, Martina 1 Tierney, Kevin 1 Van Gelder, Allen 1 van Rijn, Jan N. 1 Vanschoren, Joaquin 1 Vansteenwegen, Pieter Cited in 4 Serials 3 Artificial Intelligence 1 Computers & Operations Research 1 Machine Learning 1 The Journal of Artificial Intelligence Research (JAIR) Cited in 2 Fields 5 Computer science (68-XX) 2 Operations research, mathematical programming (90-XX) Citations by Year