Binary grasshopper optimisation algorithm approaches for feature selection problems

•Three binary versions of Grasshopper Optimization Algorithm (BGOA) are proposed.•Wrapper-based feature selection techniques are proposed using the BGOA algorithms.•The proposed algorithms are benchmarked on 18 standard UCI datasets.•The results are compared with 10 algorithms.•The results show the...

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Bibliographic Details
Published in:	Expert systems with applications Vol. 117; pp. 267 - 286
Main Authors:	Mafarja, Majdi, Aljarah, Ibrahim, Faris, Hossam, Hammouri, Abdelaziz I., Al-Zoubi, Ala’ M., Mirjalili, Seyedali
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 01.03.2019 Elsevier BV
Subjects:	Algorithms Binary grasshopper optimisation algorithm Classification Feature selection GOA Heuristic methods Machine learning Optimisation Optimization Optimization algorithms Transfer functions GOA Feature selection Binary grasshopper optimisation algorithm Optimisation Classification
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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