Feature selection via a novel chaotic crow search algorithm

Crow search algorithm (CSA) is a new natural inspired algorithm proposed by Askarzadeh in 2016. The main inspiration of CSA came from crow search mechanism for hiding their food. Like most of the optimization algorithms, CSA suffers from low convergence rate and entrapment in local optima. In this p...

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Veröffentlicht in:	Neural computing & applications Jg. 31; H. 1; S. 171 - 188
Hauptverfasser:	Sayed, Gehad Ismail, Hassanien, Aboul Ella, Azar, Ahmad Taher
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.01.2019 Springer Nature B.V
Schlagworte:	Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Entrapment Heuristic methods Image Processing and Computer Vision Optimization Optimization algorithms Original Article Probability and Statistics in Computer Science Search algorithms Feature selection Optimization algorithm Crow search algorithm Chaos theory
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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