Title
Binary dragonfly optimization for feature selection using time-varying transfer functions.
Abstract
•Novel feature selection approaches based on Binary Dragonfly Algorithm (BDA) are proposed.•Eight time varying S-shaped and V-shaped transfer functions are proposed.•The leverage of using time-varying transfer functions on exploration and exploitation behaviors is investigated.•Extensive tests are made to assess the proposed algorithms on the datasets to prove their merits.
Year
DOI
Venue
2018
10.1016/j.knosys.2018.08.003
Knowledge-Based Systems
Keywords
Field
DocType
Feature selection,Optimization,Binary dragonfly algorithm,Classification,Transfer functions
Particle swarm optimization,Population,Data mining,Feature selection,Computer science,Selection algorithm,Algorithm,Transfer function,Optimization problem,Genetic algorithm,Binary number
Journal
Volume
ISSN
Citations 
161
0950-7051
25
PageRank 
References 
Authors
0.56
39
7
Name
Order
Citations
PageRank
Majdi Mafarja157420.00
Ibrahim Aljarah270333.62
Ali Asghar Heidari337923.01
Hossam Faris476138.48
Philippe Fournier-Viger51587110.19
Xiaodong Li642840.14
Seyedali Mirjalili73949140.80