Time-varying hierarchical chains of salps with random weight networks for feature selection

•An efficient wrapper feature selection approach is proposed.•The approach combines random weight networks and a time-varying swarm algorithm.•20 well-known datasets are utilized for comparison purposes.•Benchmark results confirm the effectiveness of the proposed model. Feature selection (FS) is con...

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Veröffentlicht in:	Expert systems with applications 2020-02, Vol.140, p.112898, Article 112898
Hauptverfasser:	Faris, Hossam, Heidari, Ali Asghar, Al-Zoubi, Ala’ M., Mafarja, Majdi, Aljarah, Ibrahim, Eshtay, Mohammed, Mirjalili, Seyedali
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Evolutionary algorithms Feature selection Machine learning Maximization Optimization Salp swarm algorithm Weight
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