An evolutionary feature selection method based on probability-based initialized particle swarm optimization
Author:
Funder
Key Research and Development Plan of Shaanxi Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13042-024-02107-5.pdf
Reference65 articles.
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3. Bali KK, Ong YS, Gupta A et al (2020) Multifactorial evolutionary algorithm with online transfer parameter estimation: MFEA-II. IEEE Trans Evolut Comput 24(1):69–83. https://doi.org/10.1109/tevc.2019.2906927
4. Bayati H, Dowlatshahi MB, Paniri M, (2020) MLPSO: A filter multi-label feature selection based on particle swarm optimization. In: 2020 25th international computer conference, Computer Society of Iran (CSICC). IEEE. https://doi.org/10.1109/csicc49403.2020.9050087
5. Chauhan S, Vashishtha G, Abualigah L et al (2023) Boosting salp swarm algorithm by opposition-based learning concept and sine cosine algorithm for engineering design problems. Soft Comput 27(24):18775–18802
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