Simple hyper-heuristics control the neighbourhood size of randomised local search optimally for LeadingOnes

Lissovoi, A., Oliveto, P. and Warwicker, J.A. (2020) Simple hyper-heuristics control the neighbourhood size of randomised local search optimally for LeadingOnes. Evolutionary Computation, 28 (3). pp. 437-461. ISSN 1063-6560

Abstract

Metadata

Authors/Creators:
  • Lissovoi, A.
  • Oliveto, P.
  • Warwicker, J.A.
Copyright, Publisher and Additional Information: © 2019 Massachusetts Institute of Technology Press. This is an author-produced version of a paper subsequently published in Evolutionary Computation. Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Accepted: 14 May 2019
  • Published (online): 23 May 2019
  • Published: 1 September 2020
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 SCIENCE RESEARCH COUNCIL (EPSRC)EP/M004252/1
Depositing User: Symplectic Sheffield
Date Deposited: 20 May 2019 11:24
Last Modified: 03 Dec 2021 10:32
Status: Published
Publisher: Massachusetts Institute of Technology Press
Refereed: Yes
Identification Number: https://doi.org/10.1162/evco_a_00258

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