On the choice of the update strength in estimation-of-distribution algorithms and ant colony optimization

Sudholt, D. orcid.org/0000-0001-6020-1646 and Witt, C. (2018) On the choice of the update strength in estimation-of-distribution algorithms and ant colony optimization. Algorithmica. ISSN 0178-4617

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © The Author(s) 2018. 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: Ant colony optimization; Estimation-of-distribution algorithms; Genetic Algorithms; Probabilistic model-building Genetic Algorithms; Runtime analysis; Theory of randomized search heuristics
Dates:
  • Accepted: 8 July 2018
  • Published (online): 14 August 2018
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
European Cooperation in Science and TechnologyCA15140
Depositing User: Symplectic Sheffield
Date Deposited: 11 Jul 2018 13:34
Last Modified: 01 Oct 2018 14:08
Published Version: https://doi.org/10.1007/s00453-018-0480-z
Status: Published online
Publisher: Springer Verlag
Refereed: Yes
Identification Number: https://doi.org/10.1007/s00453-018-0480-z

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