Title
An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems.
Abstract
•Two wrapper feature selection approaches using Salp Swarm Algorithm are proposed.•The crossover operator is utilized in addition to transfer functions to enhance the algorithm.•The performance is evaluated based on 22 datasets, and compared to five well-known wrapper methods.
Year
DOI
Venue
2018
10.1016/j.knosys.2018.05.009
Knowledge-Based Systems
Keywords
Field
DocType
Wrapper feature selection,Salp Swarm Algorithm,Optimization,Classification,Machine Learning,Data Mining,Evolutionary Computation,Swarm Intelligence
Data mining,Crossover,Search algorithm,Feature selection,Computer science,Swarm intelligence,Algorithm,Transfer function,Operator (computer programming),Genetic algorithm,Binary number
Journal
Volume
ISSN
Citations 
154
0950-7051
58
PageRank 
References 
Authors
0.93
44
7
Name
Order
Citations
PageRank
Hossam Faris176138.48
Majdi Mafarja257420.00
Ali Asghar Heidari343917.20
Ibrahim Aljarah470333.62
Ala' M. Al-Zoubi52219.83
Seyedali Mirjalili63949140.80
Hamido Fujita72644185.03