On the impact of the performance metric on efficient algorithm configuration

Hall, G.T., Oliveto, P.S. and Sudholt, D. (2022) On the impact of the performance metric on efficient algorithm configuration. Artificial Intelligence, 303. 103629. ISSN 0004-3702

Abstract

Metadata

Authors/Creators:
  • Hall, G.T.
  • Oliveto, P.S.
  • Sudholt, D.
Copyright, Publisher and Additional Information: © 2021 Elsevier B.V. This is an author produced version of a paper subsequently published in Artificial Intelligence. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Algorithm configurators; parameter tuning; runtime analysis; performance metrics; cutoff time
Dates:
  • Accepted: 4 November 2021
  • Published (online): 8 November 2021
  • Published: February 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
Engineering and Physical Sciences Research CouncilEP/M004252/1
European Cooperation in Science and TechnologyCA15140
Depositing User: Symplectic Sheffield
Date Deposited: 01 Dec 2021 11:06
Last Modified: 04 Nov 2022 01:13
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.artint.2021.103629

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