An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection

• Published in: Expert systems with applications Vol. 176; p. 114778
• Main Authors: Hussain, Kashif, Neggaz, Nabil, Zhu, William, Houssein, Essam H.
• Format: Journal Article
• Language: English
• Published: New York Elsevier Ltd 15.08.2021; Elsevier BV
• Subjects: Algorithms; Data mining; Datasets; Feature selection; Harris hawks optimization; High-dimensional data; Optimization; Optimization algorithms; Optimization problems; Search methods; Sine-cosine algorithm; Statistical analysis; Trigonometric functions; High-dimensional data; Feature selection; Sine-cosine algorithm; Optimization problems; Harris hawks optimization

•Every growing data volume also incorporate extraordinary dimensions.•Hybrid sine-cosine Harris hawks optimization (SCHHO) is proposed for feature selection.•Results of numerical problems and feature selection reveal efficacy of SCHHO.•SCHHO outperforms other counterparts and hybrid approached from...