Hybrid Whale Optimization Algorithm with simulated annealing for feature selection

•Four hybrid feature selection methods for classification task are proposed.•Our hybrid method combines Whale Optimization Algorithm with simulated annealing.•Eighteen UCI datasets were used in the experiments.•Our approaches result a higher accuracy by using less number of features. Hybrid metaheur...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 260; s. 302 - 312
Hlavní autori:	Mafarja, Majdi M., Mirjalili, Seyedali
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 18.10.2017
Predmet:	Classification Feature selection Hybrid optimization Optimization Simulated annealing Whale Optimization Algorithm WOA Whale Optimization Algorithm Feature selection Hybrid optimization Simulated annealing Classification WOA Optimization
ISSN:	0925-2312, 1872-8286
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