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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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 260; pp. 302 - 312
Main Authors:	Mafarja, Majdi M., Mirjalili, Seyedali
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 18.10.2017
Subjects:	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
Online Access:	Get full text
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