Evolutionary dynamic grouping based cooperative co-evolution algorithm for large-scale optimization
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05390-5.pdf
Reference61 articles.
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2. Wang Y, Zhang Q, Wang GG (2023) Improving evolutionary algorithms with information feedback model for large-scale many-objective optimization. Appl Intell 53(10):11439–11473. https://doi.org/10.1007/s10489-022-03964-9
3. Omidvar MN, Li X, Yao X (2021) A review of population-based metaheuristics for large-scale black-box global optimization-part i. IEEE Trans Evol Comput 26(5):802–822. https://doi.org/10.1109/TEVC.2021.3130838
4. Omidvar MN, Li X, Yao X (2021) A review of population-based metaheuristics for large-scale black-box global optimization-part ii. IEEE Trans Evol Comput 26(5):823–843. https://doi.org/10.1109/TEVC.2021.3130835
5. Caraffini F, Neri F, Iacca G (2017) Large scale problems in practice: the effect of dimensionality on the interaction among variables. In: Applications of evolutionary computation: 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part I 20. Springer, pp 636–652
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