Dynamic Salp swarm algorithm for feature selection

•A dynamic Salp swarm algorithm is proposed for feature selection.•The development of novel update equation to improve solutions diversity.•The development of new Local search algorithm to improve algorithm exploitation.•The algorithm was tested on 23 datasets and it is outperformed other algorithms...

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Bibliographische Detailangaben
Veröffentlicht in:	Expert systems with applications Jg. 164; S. 113873
Hauptverfasser:	Tubishat, Mohammad, Ja'afar, Salinah, Alswaitti, Mohammed, Mirjalili, Seyedali, Idris, Norisma, Ismail, Maizatul Akmar, Omar, Mardian Shah
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.02.2021 Elsevier BV
Schlagworte:	Accuracy Datasets Feature selection Genetic algorithms K-nearest neighbors algorithm Local search algorithm (LSA) Optimization algorithms Particle swarm optimization Salp swarm algorithm Search algorithms Singer chaotic map Statistical analysis Salp swarm algorithm Feature selection Singer chaotic map Local search algorithm (LSA)
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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