Feature selection by using chaotic cuckoo optimization algorithm with levy flight, opposition-based learning and disruption operator
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-020-05349-x.pdf
Reference89 articles.
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3. Ang JC et al (2015) Supervised, unsupervised, and semi-supervised feature selection: a review on gene selection. IEEE/ACM Trans Comput Biol Bioinf 13(5):971–989
4. Anter AM, Ali M (2020) Feature selection strategy based on hybrid crow search optimization algorithm integrated with chaos theory and fuzzy c-means algorithm for medical diagnosis problems. Soft Comput 24(3):1–20
5. Anter AM, Azar AT, Fouad KM (2019) Intelligent hybrid approach for feature selection. In: International conference on advanced machine learning technologies and applications. Springer
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