Crisscross Harris Hawks Optimizer for Global Tasks and Feature Selection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Bioengineering,Biophysics,Biotechnology
Link
https://link.springer.com/content/pdf/10.1007/s42235-022-00298-7.pdf
Reference97 articles.
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3. Ewees, A. A., Abd Elaziz, M., & Houssein, E. H. (2018). Improved grasshopper optimization algorithm using opposition-based learning. Expert Systems with Applications, 112, 156–172. https://doi.org/10.1016/j.eswa.2018.06.023
4. Long, W., Jiao, J. J., Xu, M., Tang, M. Z., Wu, T. B., & Cai, S. H. (2022). Lens-imaging learning Harris hawks optimizer for global optimization and its application to feature selection. Expert Systems with Applications, 202, 117255. https://doi.org/10.1016/j.eswa.2022.117255
5. Beheshti, Z. (2022). BMPA-TVSinV: a binary marine predators algorithm using time-varying sine and V-shaped transfer functions for wrapper-based feature selection. Knowledge Based Syst, 252, 109446. https://doi.org/10.1016/j.knosys.2022.109446
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