Memetic algorithms outperform evolutionary algorithms in multimodal optimisation

Nguyen, P.T.H. and Sudholt, D. orcid.org/0000-0001-6020-1646 (2020) Memetic algorithms outperform evolutionary algorithms in multimodal optimisation. Artificial Intelligence, 287. 103345. ISSN 0004-3702

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Copyright, Publisher and Additional Information: © 2020 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: Search heuristics; Hybridisation; Evolutionary algorithms; Black-box optimisation; Memetic algorithms; Time complexity
Dates:
  • Accepted: 8 June 2020
  • Published (online): 11 June 2020
  • Published: October 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: 18 Jun 2020 10:29
Last Modified: 11 Jun 2021 00:38
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.artint.2020.103345

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