BinCOA: An Efficient Binary Crayfish Optimization Algorithm for Feature Selection

BinCOA: An Efficient Binary Crayfish Optimization Algorithm for Feature Selection

The increased utilization of digital instruments like smartphones, Internet of Things (IoT) sensors, cameras, and microphones has resulted in extensive amounts of big data. Inherent challenges associated with big data include significant data dimensionality, redundancy, and irrelevant information. T...

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Bibliographic Details
Main Authors: Nabila H. Shikoun, Ahmed Salem Al-Eraqi, Islam S. Fathi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Crayfish optimization algorithm (COA)
feature selection (FS)
classification
the refracted opposition-based learning strategy
the crisscross strategy
Online Access:https://ieeexplore.ieee.org/document/10436647/

Internet

https://ieeexplore.ieee.org/document/10436647/

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