SUNNY for algorithm selection: A preliminary study

Roberto Amadini, Fabio Biselli, Maurizio Gabbrielli, Tong Liu, Jacopo Mauro

Research output: Contribution to journalConference articleResearchpeer-review

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.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume1459
Pages (from-to)202-206
Number of pages5
ISSN1613-0073
Publication statusPublished - 1. Jan 2015
Externally publishedYes
Event30th Italian Conference on Computational Logic, CILC 2015 - Genova, Italy
Duration: 1. Jul 20153. Jul 2015

Conference

Conference30th Italian Conference on Computational Logic, CILC 2015
Country/TerritoryItaly
CityGenova
Period01/07/201503/07/2015

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