Given a collection of algorithms, the Algorithm Selection (AS) problem consists in identifying which of them is the best one for solving a given problem. In this paper we show how we adapted the algorithm selector SUNNY, originally tailored for constraint solving, to deal with general AS problems. Preliminary investigations based on the AS Library benchmarks already show some promising results: for some scenarios SUNNY is able to outperform AS state-ofthe-art approaches.

Amadini R., Biselli F., Gabbrielli M., Liu T., Mauro J. (2015). SUNNY for algorithm selection: A preliminary study. CEUR-WS.

SUNNY for algorithm selection: A preliminary study

Amadini R.
;
Gabbrielli M.;Liu T.;Mauro J.
2015

Abstract

Given a collection of algorithms, the Algorithm Selection (AS) problem consists in identifying which of them is the best one for solving a given problem. In this paper we show how we adapted the algorithm selector SUNNY, originally tailored for constraint solving, to deal with general AS problems. Preliminary investigations based on the AS Library benchmarks already show some promising results: for some scenarios SUNNY is able to outperform AS state-ofthe-art approaches.
2015
30th Italian Conference on Computational Logic, CILC 2015
202
206
Amadini R., Biselli F., Gabbrielli M., Liu T., Mauro J. (2015). SUNNY for algorithm selection: A preliminary study. CEUR-WS.
Amadini R.; Biselli F.; Gabbrielli M.; Liu T.; Mauro J.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/708546
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