A dynamic locality multi-objective salp swarm algorithm for feature selection

•A novel multi-objective SSA algorithm is proposed.•Two essential components; dynamic time-varying strategy and the local fittest solutions are integrated with SSA.•The proposed approach (MODSSA-lbest) is tested on 13 benchmark datasets.•The MODSSA-lbest achieved significant promising results versus...

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Veröffentlicht in:	Computers & industrial engineering Jg. 147; S. 106628
Hauptverfasser:	Aljarah, Ibrahim, Habib, Maria, Faris, Hossam, Al-Madi, Nailah, Heidari, Ali Asghar, Mafarja, Majdi, Elaziz, Mohamed Abd, Mirjalili, Seyedali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2020
Schlagworte:	Classification Multi-objective Optimization Salp swarm algorithm Wrapper feature selection Wrapper feature selection Salp swarm algorithm Multi-objective Optimization Classification
ISSN:	0360-8352, 1879-0550
Online-Zugang:	Volltext
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