Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problems

Kazimipour, B, Omidvar, MN orcid.org/0000-0003-1944-4624, Qin, AK et al. (2 more authors) (2019) Bandit-based cooperative coevolution for tackling contribution imbalance in large-scale optimization problems. Applied Soft Computing, 76. pp. 265-281. ISSN 1568-4946

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Copyright, Publisher and Additional Information: © 2018 Elsevier B.V. All rights reserved. This is an author produced version of an article published in Applied Soft Computing. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Imbalanced large-scale optimization; Resource allocation; Multi-armed bandits
Dates:
  • Published: March 2019
  • Accepted: 8 December 2018
  • Published (online): 18 December 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Business (Leeds) > Accounting & Finance Division (LUBS) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 03 Feb 2020 14:24
Last Modified: 11 Mar 2020 23:18
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.asoc.2018.12.007
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