SUNNY for Algorithm Selection: A Preliminary Study

Roberto Amadini 1, 2 Fabio Biselli 1 Maurizio Gabbrielli 2, 1 Tong Liu 1 Jacopo Mauro 2, 1
2 FOCUS - Foundations of Component-based Ubiquitous Systems
CRISAM - Inria Sophia Antipolis - Méditerranée , DISI - Dipartimento di Informatica - Scienza e Ingegneria [Bologna]
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-of-the-art approaches.
Type de document :
Communication dans un congrès
CILC, Jul 2015, Genova, Italy
Liste complète des métadonnées

Littérature citée [9 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01227595
Contributeur : Amadini Roberto <>
Soumis le : mercredi 11 novembre 2015 - 16:52:11
Dernière modification le : samedi 27 janvier 2018 - 01:31:37
Document(s) archivé(s) le : vendredi 28 avril 2017 - 06:14:30

Fichier

paper3.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01227595, version 1

Collections

Citation

Roberto Amadini, Fabio Biselli, Maurizio Gabbrielli, Tong Liu, Jacopo Mauro. SUNNY for Algorithm Selection: A Preliminary Study. CILC, Jul 2015, Genova, Italy. 〈hal-01227595〉

Partager

Métriques

Consultations de la notice

106

Téléchargements de fichiers

85