How to Escape Local Optima in Black Box Optimisation: When Non-elitism Outperforms Elitism

Oliveto, P.S., Paixão, T., Pérez Heredia, J. et al. (2 more authors) (2017) How to Escape Local Optima in Black Box Optimisation: When Non-elitism Outperforms Elitism. Algorithmica. pp. 1-30. ISSN 0178-4617

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Copyright, Publisher and Additional Information: © The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Keywords: Evolutionary algorithms; Runtime analysis; Population genetics; Strong selection weak mutation regime; Metropolis algorithm; Simulated annealing; Black box optimisation
Dates:
  • Published (online): 6 September 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
EUROPEAN COMMISSION - FP6/FP7SAGE - 138086
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/M004252/1
European Cooperation in Science and TechnologyCA15140
Depositing User: Symplectic Sheffield
Date Deposited: 06 Oct 2017 11:49
Last Modified: 06 Oct 2017 11:49
Published Version: https://doi.org/10.1007/s00453-017-0369-2
Status: Published online
Publisher: Springer Verlag
Refereed: Yes
Identification Number: https://doi.org/10.1007/s00453-017-0369-2

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