A Multi-objective Feature Selection Method Considering the Interaction Between Features
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10796-024-10481-2.pdf
Reference38 articles.
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2. Al-Tashi, Q., Abdulkadir, S. J., Rais, H. M., Mirjalili, S., & Alhussian, H. (2020). Approaches to multi-objective feature selection: A systematic literature review. IEEE Access, 8, 125076–125096. https://doi.org/10.1109/ACCESS.2020.3007291
3. Amoozegar, M., & Minaei-Bidgoli, B. (2018). Optimizing multi-objective PSO based feature selection method using a feature elitism mechanism. Expert Systems with Applications, 113, 499–514. https://doi.org/10.1016/j.eswa.2018.07.013
4. Curry, D. M., & Dagli, C. H. (2014). Computational complexity measures for many-objective optimization problems. Procedia Computer Science, 36, 185–191. https://doi.org/10.1016/j.procs.2014.09.077
5. Das, A. K., Nikum, A. K., Krishnan, S. V., & Pratihar, D. K. (2020). Multi-objective Bonobo Optimizer (MOBO): An intelligent heuristic for multi-criteria optimization. Knowledge and Information Systems, 62(11), 4407–4444.
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