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...

詳細記述

書誌詳細

出版年:	IEEE Access
主要な著者:	Rami Sihwail, Khairuddin Omar, Khairul Akram Zainol Ariffin, Mohammad Tubishat
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2020-01-01
主題:	Harris Hawks optimization optimization feature selection elite opposite based-learning mutation mutation neighborhood search
オンライン･アクセス:	https://ieeexplore.ieee.org/document/9131696/