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

Corus, D., Oliveto, P.S. and Yazdani, D. orcid.org/0000-0001-7753-9176 (2020) When hypermutations and ageing enable artificial immune systems to outperform evolutionary algorithms. Theoretical Computer Science, 832. pp. 166-185. ISSN 0304-3975

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 Published by Elsevier B.V. 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
  • Published: 6 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 COUNCILEP/M004252/1
Depositing User: Symplectic Sheffield
Date Deposited: 30 Jun 2020 10:38
Last Modified: 30 Jun 2020 10:38
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.tcs.2019.03.002

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Filename: 1804.01314.pdf

Licence: CC-BY-NC-ND 4.0

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