Honey formation optimization with single component for numerical function optimization: HFO-1
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08984-1.pdf
Reference119 articles.
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3. Zhang J, Tang Y, Wang H, Xu K (2023) ASRO-DIO: active subspace random optimization based depth inertial odometry. IEEE Trans Robot 39:1496–1508. https://doi.org/10.1109/TRO.2022.3208503
4. Kumar A, Misra RK, Singh D (2017) Improving the local search capability of effective butterfly optimizer using covariance matrix adapted retreat phase. In: 2017 IEEE congress on evolutionary computation CEC 2017—proceedings, pp 1835–1842. https://doi.org/10.1109/CEC.2017.7969524
5. Huang H, Xue C, Zhang W, Guo M (2022) Torsion design of CFRP-CFST columns using a data-driven optimization approach. Eng Struct 251:113479. https://doi.org/10.1016/j.engstruct.2021.113479
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