On the Robustness of Evolutionary Algorithms to Noise: Refined Results and an Example Where Noise Helps

Sudholt, D. orcid.org/0000-0001-6020-1646 (2018) On the Robustness of Evolutionary Algorithms to Noise: Refined Results and an Example Where Noise Helps. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2018). Genetic and Evolutionary Computation Conference (GECCO 2018), 15-19 Jul 2018, Kyoto, Japan. ACM . ISBN 978-1-4503-5618-3

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Copyright, Publisher and Additional Information: © 2018 ACM. This is an author-produced version of a paper accepted for publication. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Evolutionary algorithms; noisy optimisation; runtime analysis; theory
Dates:
  • Published: 2 July 2018
  • Accepted: 10 May 2018
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: 16 May 2018 13:36
Last Modified: 20 Aug 2018 11:52
Published Version: https://doi.org/10.1145/3205455.3205595
Status: Published online
Publisher: ACM
Refereed: Yes
Identification Number: https://doi.org/10.1145/3205455.3205595

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