Title | ||
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An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems. |
Abstract | ||
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•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 |
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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 Faris | 1 | 761 | 38.48 |
Majdi Mafarja | 2 | 574 | 20.00 |
Ali Asghar Heidari | 3 | 439 | 17.20 |
Ibrahim Aljarah | 4 | 703 | 33.62 |
Ala' M. Al-Zoubi | 5 | 221 | 9.83 |
Seyedali Mirjalili | 6 | 3949 | 140.80 |
Hamido Fujita | 7 | 2644 | 185.03 |