Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023 |
| Editors | Edith Elkind |
| Pages | 6964-6968 |
| Number of pages | 5 |
| ISBN (electronic) | 9781956792034 |
| Publication status | Published - 2023 |
| Event | 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023 - Macao, China Duration: 19 Aug 2023 → 25 Aug 2023 |
Publication series
| Name | IJCAI International Joint Conference on Artificial Intelligence |
|---|---|
| Volume | 2023-August |
| ISSN (Print) | 1045-0823 |
Abstract
Algorithm configuration (AC) is concerned with the automated search of the most suitable parameter configuration of a parametrized algorithm. There are currently a wide variety of AC problem variants and methods proposed in the literature. Existing reviews do not take into account all derivatives of the AC problem, nor do they offer a complete classification scheme. To this end, we introduce taxonomies to describe the AC problem and features of configuration methods, respectively. Existing AC literature is classified and characterized by the provided taxonomies.
ASJC Scopus subject areas
- Computer Science(all)
- Artificial Intelligence
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Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023. ed. / Edith Elkind. 2023. p. 6964-6968 (IJCAI International Joint Conference on Artificial Intelligence; Vol. 2023-August).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - A Survey of Methods for Automated Algorithm Configuration (Extended Abstract)
AU - Schede, Elias
AU - Brandt, Jasmin
AU - Tornede, Alexander
AU - Wever, Marcel
AU - Bengs, Viktor
AU - Hüllermeier, Eyke
AU - Tierney, Kevin
N1 - Publisher Copyright: © 2023 International Joint Conferences on Artificial Intelligence. All rights reserved.
PY - 2023
Y1 - 2023
N2 - Algorithm configuration (AC) is concerned with the automated search of the most suitable parameter configuration of a parametrized algorithm. There are currently a wide variety of AC problem variants and methods proposed in the literature. Existing reviews do not take into account all derivatives of the AC problem, nor do they offer a complete classification scheme. To this end, we introduce taxonomies to describe the AC problem and features of configuration methods, respectively. Existing AC literature is classified and characterized by the provided taxonomies.
AB - Algorithm configuration (AC) is concerned with the automated search of the most suitable parameter configuration of a parametrized algorithm. There are currently a wide variety of AC problem variants and methods proposed in the literature. Existing reviews do not take into account all derivatives of the AC problem, nor do they offer a complete classification scheme. To this end, we introduce taxonomies to describe the AC problem and features of configuration methods, respectively. Existing AC literature is classified and characterized by the provided taxonomies.
UR - http://www.scopus.com/inward/record.url?scp=85170359296&partnerID=8YFLogxK
U2 - 10.24963/ijcai.2023/791
DO - 10.24963/ijcai.2023/791
M3 - Conference contribution
AN - SCOPUS:85170359296
T3 - IJCAI International Joint Conference on Artificial Intelligence
SP - 6964
EP - 6968
BT - Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023
A2 - Elkind, Edith
T2 - 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023
Y2 - 19 August 2023 through 25 August 2023
ER -