Fast perturbative algorithm configurators

Hall, G.T., Oliveto, P.S. and Sudholt, D. orcid.org/0000-0001-6020-1646 (2020) Fast perturbative algorithm configurators. In: Bäck, T., Preuss, M., Deutz, A., Wang, H., Doerr, C. and Emm, M., (eds.) Parallel Problem Solving from Nature – PPSN XVI. International Conference on Parallel Problem Solving from Nature (PPSN 2020), 05-09 Sep 2020, Leiden, Netherlands. Lecture Notes in Computer Science, 12269 . Springer , pp. 19-32. ISBN 9783030581114

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Bäck, T.
  • Preuss, M.
  • Deutz, A.
  • Wang, H.
  • Doerr, C.
  • Emm, M.
Copyright, Publisher and Additional Information:

© Springer Nature Switzerland AG 2020. This is an author-produced version of a paper subsequently published in Bäck T. et al. (eds) Parallel Problem Solving from Nature – PPSN XVI. PPSN 2020. Lecture Notes in Computer Science, vol 12269. Uploaded in accordance with the publisher's self-archiving policy.

Keywords: Parameter tuning; Algorithm configurators; Runtime analysis
Dates:
  • Published: 31 August 2020
  • Published (online): 31 August 2020
  • Accepted: 27 May 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 23 Jun 2020 07:40
Last Modified: 10 Sep 2020 12:01
Status: Published
Publisher: Springer
Series Name: Lecture Notes in Computer Science
Refereed: Yes
Identification Number: 10.1007/978-3-030-58112-1_2
Related URLs:
Open Archives Initiative ID (OAI ID):

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