Title | ||
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Binary dragonfly optimization for feature selection using time-varying transfer functions. |
Abstract | ||
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•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 Mafarja | 1 | 574 | 20.00 |
Ibrahim Aljarah | 2 | 703 | 33.62 |
Ali Asghar Heidari | 3 | 379 | 23.01 |
Hossam Faris | 4 | 761 | 38.48 |
Philippe Fournier-Viger | 5 | 1587 | 110.19 |
Xiaodong Li | 6 | 428 | 40.14 |
Seyedali Mirjalili | 7 | 3949 | 140.80 |