A review of population-based metaheuristics for large-scale black-box global optimization: Part A

Omidvar, MN orcid.org/0000-0003-1944-4624, Li, X and Yao, X (2021) A review of population-based metaheuristics for large-scale black-box global optimization: Part A. IEEE Transactions on Evolutionary Computation. ISSN 1089-778X

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © The Author(s) 2021. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.
Keywords: large-scale global optimization; black-box optimization; metaheuristics; evolutionary optimization
Dates:
  • Accepted: 9 November 2021
  • Published (online): 25 November 2021
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: 24 Nov 2021 16:20
Last Modified: 18 Jan 2022 10:27
Status: Published online
Publisher: IEEE
Identification Number: https://doi.org/10.1109/TEVC.2021.3130838

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