Publication Details

AClib: A Benchmark Library for Algorithm Configuration

authored by
Frank Hutter, Manuel López-Ibáñez, Chris Fawcett, Marius Lindauer, Holger H. Hoos, Kevin Leyton-Brown, Thomas Stützle
Abstract

Modern solvers for hard computational problems often expose parameters that permit customization for high performance on specific instance types. Since it is tedious and time-consuming to manually optimize such highly parameterized algorithms, recent work in the AI literature has developed automated approaches for this algorithm configuration problem [1, 3, 10, 11, 13, 16].

External Organisation(s)
University of Freiburg
Free University of Brussels (ULB)
University of British Columbia
University of Potsdam
Type
Conference contribution
Pages
36-40
No. of pages
5
Publication date
01.08.2014
Publication status
Published
Peer reviewed
Yes
ASJC Scopus subject areas
Theoretical Computer Science, Computer Science(all)
Electronic version(s)
https://doi.org/10.1007/978-3-319-09584-4_4 (Access: Closed)