Dynamic Butterfly Optimization Algorithm for Feature Selection

Dynamic Butterfly Optimization Algorithm for Feature Selection

Feature selection represents an essential pre-processing step for a wide range of Machine Learning approaches. Datasets typically contain irrelevant features that may negatively affect the classifier performance. A feature selector can reduce the number of these features and maximise the classifier...

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Bibliographic Details
Main Authors: Mohammad Tubishat, Mohammed Alswaitti, Seyedali Mirjalili, Mohammed Ali Al-Garadi, Ma'en Tayseer Alrashdan, Toqir A. Rana
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Butterfly optimization algorithm
feature selection
local search algorithm based on mutation
Online Access:https://ieeexplore.ieee.org/document/9239279/

Internet

https://ieeexplore.ieee.org/document/9239279/

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