Details
| Original language | English |
|---|---|
| Title of host publication | Learning and Intelligent Optimization |
| Publisher | Springer Verlag |
| Pages | 36-40 |
| Number of pages | 5 |
| ISBN (print) | 9783319095837 |
| Publication status | Published - 1 Aug 2014 |
| Externally published | Yes |
| Event | 8th International Conference on Learning and Intelligent OptimizatioN, LION 2014 - Gainesville, FL, United States Duration: 16 Feb 2014 → 21 Feb 2014 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 8426 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
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].
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
Cite this
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Learning and Intelligent Optimization. Springer Verlag, 2014. p. 36-40 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8426 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - AClib: A Benchmark Library for Algorithm Configuration
AU - Hutter, Frank
AU - López-Ibáñez, Manuel
AU - Fawcett, Chris
AU - Lindauer, Marius
AU - Hoos, Holger H.
AU - Leyton-Brown, Kevin
AU - Stützle, Thomas
N1 - Funding information: We gratefully acknowledge all authors of algorithms and instance distributions for making their work available (they are cited on the webpage, acknowledged in README files, and will be cited in a future longer version of this paper). We thank Kevin Tierney and Yuri Malitsky for modifying GGA [] to support AClib’s format; Lin Xu for generating several instance distributions and writing most feature extraction code for SAT and TSP; Adrian Balint and Sam Bayless for contributing SAT benchmark distributions; Mauro Vallati for exposing many new parameters in LPG; the developers of Fast Downward for helping define its configuration space; and Steve Ramage for helping diagnose and fix problems with several wrappers and runsolver. M. Lindauer acknowledges support by DFG project SCHA 550/8-3, and M. López-Ibáñez acknowledges support from a “Crédit Bref Séjour à l’étranger” from the Belgian F.R.S.-FNRS.
PY - 2014/8/1
Y1 - 2014/8/1
N2 - 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].
AB - 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].
UR - http://www.scopus.com/inward/record.url?scp=84905861680&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-09584-4_4
DO - 10.1007/978-3-319-09584-4_4
M3 - Conference contribution
AN - SCOPUS:84905861680
SN - 9783319095837
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 36
EP - 40
BT - Learning and Intelligent Optimization
PB - Springer Verlag
T2 - 8th International Conference on Learning and Intelligent OptimizatioN, LION 2014
Y2 - 16 February 2014 through 21 February 2014
ER -