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.
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References in zbMATH (referenced in 6 articles )
Showing results 1 to 6 of 6.
- Eggensperger, Katharina; Lindauer, Marius; Hutter, Frank: Pitfalls and best practices in algorithm configuration (2019)
- Lindauer, Marius; van Rijn, Jan N.; Kotthoff, Lars: The algorithm selection competitions 2015 and 2017 (2019)
- Eggensperger, Katharina; Lindauer, Marius; Hoos, Holger H.; Hutter, Frank; Leyton-Brown, Kevin: Efficient benchmarking of algorithm configurators via model-based surrogates (2018)
- Bischl, Bernd; Kerschke, Pascal; Kotthoff, Lars; Lindauer, Marius; Malitsky, Yuri; Fréchette, Alexandre; Hoos, Holger; Hutter, Frank; Leyton-Brown, Kevin; Tierney, Kevin; Vanschoren, Joaquin: ASlib: a benchmark library for algorithm selection (2016)
- Lonsing, Florian; Seidl, Martina; Van Gelder, Allen: The QBF Gallery: behind the scenes (2016)
- Lindauer, Marius; Hoos, Holger H.; Hutter, Frank; Schaub, Torsten: \textscAutoFolio: an automatically configured algorithm selector (2015) ioport