Improved Harris Hawks Optimization Using Elite Opposition-Based Learning and Novel Search Mechanism for Feature Selection

Improved Harris Hawks Optimization Using Elite Opposition-Based Learning and Novel Search Mechanism for Feature Selection

The rapid increase in data volume and features dimensionality have a negative influence on machine learning and many other fields, such as decreasing classification accuracy and increasing computational cost. Feature selection technique has a critical role as a preprocessing step in reducing these i...

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Bibliographic Details
Main Authors: Rami Sihwail, Khairuddin Omar, Khairul Akram Zainol Ariffin, Mohammad Tubishat
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Harris Hawks optimization
optimization
feature selection
elite opposite based-learning
mutation
mutation neighborhood search
Online Access:https://ieeexplore.ieee.org/document/9131696/

Internet

https://ieeexplore.ieee.org/document/9131696/

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