When hypermutations and ageing enable artificial immune systems to outperform evolutionary algorithms

Corus, D., Oliveto, P.S. and Yazdani, D. (2019) When hypermutations and ageing enable artificial immune systems to outperform evolutionary algorithms. Theoretical Computer Science. ISSN 0304-3975

Abstract

Metadata

Authors/Creators:
  • Corus, D.
  • Oliveto, P.S.
  • Yazdani, D.
Copyright, Publisher and Additional Information: © 2019 Elsevier. This is an author produced version of a paper subsequently published in Theoretical Computer Science. 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: Artificial immune systems; Opt-IA; Runtime analysis; Evolutionary algorithms; Hypermutation; Ageing
Dates:
  • Accepted: 2 March 2019
  • Published (online): 7 March 2019
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: 19 Mar 2019 11:15
Last Modified: 19 Mar 2019 11:15
Status: Published online
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.tcs.2019.03.002
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Embargoed until: 7 March 2020

Filename: 1804.01314.pdf

Licence: CC-BY-NC-ND 4.0

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