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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Expert systems with applications Ročník 117; s. 267 - 286
Hlavní autori:	Mafarja, Majdi, Aljarah, Ibrahim, Faris, Hossam, Hammouri, Abdelaziz I., Al-Zoubi, Ala’ M., Mirjalili, Seyedali
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Ltd 01.03.2019 Elsevier BV
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!